ABOUT LLMS
About LLMs Technology:
An LLM is a machine-learning neuro network trained through data input/output sets; frequently, the text is unlabeled or uncategorized, and the model is using self supervised or semi-supervised learning methodology. Information is ingested, or content entered, into the LLM, and the output is what that algorithm predicts the next word will be. The input can be proprietary corporate data or, as in the case of ChatGPT, whatever data it’s fed and scraped directly from the internet.
Training LLMs:
to use the right data requires the use of massive, expensive server farms that act as supercomputers.
LLMs:
Those are controlled by parameters, as in millions, billions, and even trillions of them. if the information an LLM has ingested. is biased, incomplete, or otherwise undesirable, then the response it gives could be equally unreliable, bizarre, or even offensive. When a response goes off the rails, data analysts refer to it as “hallucinations,” because they can be so far off track.
"ChatGPT for biases that are implicit — that is, the gender of the person is not obviously mentioned, but only included as information about their pronouns,” Kapoor said. “That is, if we replace “she” in the sentence with “he," ChatGPT would be three times less likely to make an error.”
ABOUT LLMS
ABOUT LARGE LANGUAGE MODEL(LLMS)
https://oneinfodata.blogspot.com/2023/12/about-programing-languages.html
ABOUT PROGRAMING LANGUAGES:
A programming language is a way to code the program for programmers (developers) to communicate with computers. Programming languages consist of a set of rules that allows string values to be converted into various ways of generating machine code, or, in the case of visual programming languages, graphical elements.
Generally, a program is a set of instructions written in a particular language (C, C++, Java, Python) to achieve a particular task.
The synergy of programming languages used to give power for digital landscapes.
From Python to C++, equip yourself with the tools to detect vulnerabilities and fortify systems against cyber threats. Join us in building a solid foundation in both programming and cyber security to stand strong in the ever-evolving digital world.
About Major Types of Programming Languages
Procedural Programming Languages:
A programming paradigm that uses procedures or functions to abbreviate and categorize the code into reusable blocks is a procedural programming language. C, Pascal and FORTRAN are the most in-demand programming languages supporting this paradigm.
In this programming, the program is divided into functions or procedures. They are primarily insular sub-programs that perform a specific task. These procedures can be called from other program parts, allowing for flexible programming and code reuse. The priority is the systematic execution of a program. Further, it emphasizes the series of instructions and influences data stored in variables.
These are the best programming languages to learn as they are widely used in the fields like engineering, gaming and finance. Procedural programming can be less flexible though this does not stop it from being one of the most significant programming paradigms taught in high-ranking computer science courses.
Functional Programming Languages:
Unlike procedural languages, functional programming languages are more flexible. It is composed of a series of functions. This programming paradigm stresses the use of model computations and data transformation. Haskell, Clojure, Lisp and Scala are the languages supporting this paradigm.
Functional programming makes programs easier to reason with and increases their reliability. The functions solely operate on their input arguments. They are less popular, but they have experienced a colossal boom from the educational point of view. They are assigned to variables, passed as arguments to other functions and return results from other functions.
Functional programming is efficient parallel programming. They have no mutable state. You can program functions and parallel work as instructions. These codes support nested functions and consist of independent units that run coherently. Hence, this is more efficient.
Object-oriented Programming Languages
In an object-oriented programming language, objects define the data and the behavior of objects. These objects typically include data attributes representing the object's state and method. This language enables users to make a complex system with interconnected objects.
This language hides implementation components from the outside world through encapsulation. This makes it possible to build large intricate systems without stressing about the internal workings of respective objects. The other benefit that makes this language so in demand is the feature of inheritance. It creates a ranking of classes that share common features while still allowing customization.
Some popular object-oriented programming languages are Java, Python, C++, and Ruby. All these languages are top programming languages, but they share the principle of being object-oriented.
Simple to learn with easy syntax and dynamic typing, the scripting language is the type of language that is interpreted rather than compiled. The two types of this language are server-side scripting languages and client-side scripting languages. These languages make communication possible with other programming languages.
· Python - The easiest programming language used among developers is Python. It is an object-oriented programming language. The language has a high-Level data structure, and built-in libraries, that make it easy to use and suitable for rapid application development. It is easy, decoded and has a dynamic semantic language.
· Perl - The language is dynamic with innovative features that make it popular and different from what is available on Linux and Windows Server. Websites with high traffic usually use Perl, including IMDB, as it helps in text manipulation tasks.
· Bash-Bourne shell programming:-
Again, Shell is a scripting language that is the default command interpreter on most Linux/GNU operating systems. This language is easier than most of the other programming languages. Bash makes it easier to create script store documentation for others and provides useful reusable scripts.
As the name suggests, this is computer programming based on formal logic. This programming language program consists of a cluster of logical statements or rules that determine relationships among objects. It allows the system to extrapolate new information.
Artificial intelligence and expert systems commonly use this language where reasoning and conjecture are required. This language allows a concise and expressive program which is easier to reason about and maintain than programs that return to other paradigms.
To summarize, logical programming is a secure and flexible approach to solving problems in computer programming. It is suitable for every type of problem. It is a valuable tool for a few applications as well. One of the most popular logical languages is Prolog which consists of a set of facts and rules to describe a problem and reason about it.
In imperative programming, the programmer provides a set of instructions that the computer follows to manipulate the state of the program and the information structure within it. This paradigm describes the steps that a computer needs to take to solve a program rather than defining the mathematical function. C, C++, Java, and Python are some of the imperative programming languages.
The Imperative is the most popular programming language in software development for system programming and low-level programming tasks, which includes direct level control over hardware resources.
https://oneinfodata.blogspot.com/2021/04/cloud-computing-services.html
Cloud Computing Services
Cloud Computing Services?
The growth of cloud computing has been exponential over the past few years, so what is it? Put simply, cloud computing is a remote virtual pool of on-demand shared resources offering to compute, storage, database and network services that can be rapidly deployed at scale. Now there may be a couple of terms within this definition that are new to you, or not too clear, such as virtual or computer.
Well, these could be servers, networks, storage, computing power, and other infra related services commonly offered and referred to as IaaS (Infrastructure as service).
There are other cloud models as well, like PaaS (Platform as Service) and SaaS (Software as service) which is nothing but Cloud application and very popular for building online products and startups, but let’s focus on IaaS first to understand the benefits provided by Cloud.
Not long ago, in order to host a real-world E-commerce application, you need to buy servers, networks, storage and need to set them up to your requirements like installing the required software and operating system. Most of the companies have their own Data Center where these servers are kept, and there was a high cost involved to keep those data center running.
It was just initial time and cost for setting up the server, but also their utilization was poor; for example, secondary servers are often idle just wasting that precious CPU and memory power. The effect was more evident on big companies which own thousands of servers across multiple data center on the world.
Amazon was one such company, which quickly realize that by using virtualization, they can use the computing power of their infrastructure, and that gives birth to the cloud.
In the cloud, you can spin up a server, database, network very quickly with just some clicks and you will only be charged for whatever you use. So this solves the problem of setup, utilization, and scalability.
https://oneinfodata.blogspot.com/2020/10/about-iot.html
IOT MEANING
The Internet of Things (IoT) is defined in many different ways, and it encompasses many aspects of life from connected homes and cities to connected cars and roads, roads to devices that track an individual’s behavior and use the data collected for push services.
Some mention one trillion Internet connected devices by 2025 and define mobile phones as the eyes and ears of the applications connecting all of those connected things.
By these internet of things billions objects can communicate over worldwide over a public, private internet protocol network in 2010, the number of everyday physical objects and devices connected to the Internet was around 12.5 billion.
Smart cities, Smart cars, Public safety, Smart Industries and Environmental Protection has been given the high intention for future protection by IoT Ecosystem.
This results in the generation of enormous amounts of data which have to be stored, processed and presented in a seamless, efficient, and easily interpretable form.
Internet of Things (IoT) is a new revolution of the Internet.
Thus Internet of Things (IoT) can be said the expansion of internet services.
It provides a platform for communication between objects where objects can organize and manage themselves.
It makes objects themselves recognizable.
The internet of things allows everyone to be connected anytime and anywhere.
Objects can be communicated between each other by using radio frequency identification (RFID), wireless sensor network (WSN), Zigbee, etc.
Radio Frequency identification assigns a unique identification to the objects.
RFID technology is used as more secure identification and for tracking/locating objects, things, vehicles.
https://oneinfodata.blogspot.com/2020/10/introduction-to-iot.html
Introduction to IOT
INTRODUCTION:
The Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more-direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit;
when IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies, such as smart grids, smart homes, intelligent transportation and smart cities.
Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure.
Experts estimate that the IoT will consist of almost 50 billion objects by 2020.
British entrepreneur Kevin Ashton first coined the term in 1999 while working at Auto-ID Labs (originally called Auto-ID centers - referring to a global network of Radio-frequency identification (RFID) connected objects).
Typically, IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications.
The interconnection of these embedded devices (including smart objects), is expected to usher in automation in nearly all fields, while also enabling advanced applications like a Smart Grid, and expanding to the areas such as smart cities.
"Things," in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric clams in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring or field operation devices that assist firefighters in search and rescue operations.
These devices collect useful data with the help of various existing technologies and then autonomously flow the data between other devices.
Current market examples include smart thermostat systems and washer/dryers that use Wi-Fi for remote monitoring.
Besides the plethora of new application areas for Internet connected automation to expand into, IoT is also expected to generate large amounts of data from diverse locations that is aggregated very quickly, thereby increasing the need to better index, store and process such data.
IoT is one of the platforms of today's Smart City and Smart Energy Management Systems..
https://oneinfodata.blogspot.com/2020/10/working-of-iot.html
Working of IoT
How IoT Works?
IoT device contains RFID Sensor Smart Tech Nano Tech To identify and track the data of things To collect and process the data to detect the changes in the physical status of things To enhance the power of the network by developing processing capabilities to different part of the network.
To make the smaller and smaller things have the ability to connect and interact.
Thinking about Things: Embedded intelligence in devices through sensors has formed the network connection to the Internet. It can make the “things” realizing the intelligent control.
Shrinking Things: Miniaturization and Nanotechnology has provoked the ability of smaller things to interact and connect within the “things” or “smart devices.”
Feeling Things : Sensors act as primary devices to collect data from the environment.
Tagging Things : Real-time item traceability and address-ability by RFIDs.
Structure of IoT The IoT can be viewed as a gigantic network consisting of networks of devices and computers connected through a series of intermediate technologies where numerous technologies like RFIDs, wireless connections may act as enablers of this connectivity.
"The Ultimate Goal of IOT is to Automate Human Life."
https://oneinfodata.blogspot.com/2020/11/iot-basics.html
IOT TECHNOLOGY
IoT could “turn the world into data” that could be used to make macro decisions on resource utilization.
“Information is a great way to reduce waste and increase efficiency, and that’s really what the Internet of Things provides.”
TECHNOLOGIES THAT ENABLE IOT:
Cheap sensors (50% cheaper) Cheap bandwidth (40x cheaper) Cheap processing & smarter Ubiquitous wireless coverage (free wifi) Big data (unstructured data) IPv6 Smartphones (personal gateway) For the Past 10 Years.
Billion devices will be connected to the internet -- and 5.5 million new 'things' will join them each day. 63 devices connected every second HOW BIG IS THE IOT MARKET?
IoT BENEFITS:
Improve Efficiency Reduce Costs Create Innovative Products New Revenue Streams Consumers Government Businesses 5B Devices Installed By 2020.
ENVIRONMENTS Manufacturing 35% of manufacturers already use smart sensors.
10% plan to implement them within a year, and 8% plan to implement them within 3 years, according to PwC Transportation Connected cars are a top IoT device.
We estimate there will be over 220M connected cars on the road by 2020.
Oil, gas, and mining In five years, it is predicted that 5.4 million IoT devices will be used on oil extraction sites.
BI Intelligence said that these devices will primarily be internet- connected sensors used to provide environmental metrics about extraction sites.
Insurance A survey has found that 74% of insurance executives believe the IoT will disrupt insurance within the next five years. 74% also plan to invest in developing and implementing IoT strategies by 2016, according to an SMA Research survey.
ENVIRONMENTS:
Infrastructure We estimate municipalities worldwide will increase their spending on IoT systems at a 30% CAGR, from $36B in 2014 to $133B in 2019.
This investment will generate $421B in economic value for cities worldwide in 2019.
Retail Beacons, paired with mobile apps, are being used in stores to monitor customer behavior and push advertisements to customers. In the US, we estimate $44.4B will be generated from beacon triggered messages.
Utilities Energy companies throughout the world are trying to meet the rising demand in energy.
To do this, they will be installing nearly 1 B smart meters by 2020. Hospitality 31% of hotels use next-generation door locks, 33% have room control devices, 16% have connected TVs, and 15% use beacons throughout the hotel, according to Hospitality Technology’s 2015 Lodging Technology survey.
ENVIRONMENTS Logistics Tracking sensors placed on parcels and shipping containers will help reduce costs associated to lost or damaged goods. In addition, robots such as Amazon Kiva robot, help reduce labor costs in warehouses.
Banks There are nearly 3M ATMs installed globally in 2015, according the World Bank.
Some teller-assist ATMs provide live-stream video of a teller for added customer support.
Healthcare We estimate 646M IoT devices will be used for healthcare by 2020. Connected healthcare devices can collect data, automate processes, and more.
But these devices can also be hacked, thereby posing a threat to the patients who rely on them.
Smart Buildings 43% of building managers in the US believe the IoT will affect how they run their building within the next 2 to 3 years, according to a survey from Daintree Networks.
COMPLEXITY OF SMART CITIES :
Date/Time • Location • Communication pattern • Services Accessed • Location and time of use • Number of passengers • Journey time • Potential delays • Location • Cell Tower Information • Services Accessed • Length of time and extent of use • Usage patterns of subscribers • Temperature • Environmental data • Usage patterns • Demographics • Routes • Geo-spatial Information • Number of mobile subscribers on bus in neighborhoods • Usage patterns of public transport in different neighborhoods • Load on mobile network in certain neighborhoods during different events, eg. crime reporting or concerts • Demographics of Mobile Internet usage • Mapping of cities digital divide Improved decision making • Feedback to improve public transport services • Reducing cost of delivery of government services • Improving crime response time Product for sale • Feedback to improve public transport services • Reducing cost of delivery of government services • Improving crime response time Knowledge Products Information Component Raw Data Real-time data input and output.
https://oneinfodata.blogspot.com/2020/11/webpage-authority.html
WEBPAGE AUTHORITY
Improve Page Authority (PA) While Building Links A White Hat Strategy to Improve Your Page Rank
How Do We Define Page Authority:
Defined as a predictable score 1 –100, that determines how well your page ranks in search engine results. It can also be defined as how valuable the page is (not the domain) to Google. The score will give you a very good idea on what areas of your page require attention.
There is no good or bad score, But, it is a comparative tool. It comes into play when the search query is conducted, and the search engine has to compare between your subject page and the competitors page Inbound links are links from other domains/websites/blogs/social media/ that link to content on your page.
Why is Page Authority Essential?
Importance of Page Authority:-
The life of each page depends on it. Add inbound links. Google loves connected pages.
It gives us a good idea on what to improve on the page.
Improves Page Rank and Domain Authority
Improve Rank As You Add Quality Inbound Links text
What To Keep in Mind that Page Authority does not take into account on-page factors such as Keywords
Pick quality active pages to link to your page, or domain. Pages with high-value links pointing to them will be crawled and indexed faster, and more often It is ok to have at least one inbound link to your page, however the more inbound links the better.
Inbound Linking Build Link Partners
Spot Quality Link Partners are All businesses listed in active directories offer a lucrative opportunity for excellent link exchanges. Make as many contacts as you can. They are all interested in exchanging links with you. Here is an example of link partners: http://www.greaterorlandoba.com/list/ Buying links from other services could get you penalized by search engines - Neil Patel
Maintain Partnerships and Maintain link building partnerships through a database in order to grow quality links for your site.
Remember to add internal links as well.
https://oneinfodata.blogspot.com/2021/02/state-of-insecurity-in-iot.html
State Of Insecurity in IOT
There are many reasons behind the state of insecurity in IoT. Some of it has to do with the industry being in its “gold rush” state, where every vendor is hastily seeking to dish out the next innovative connected gadget before competitors do.
• Under such circumstances, functionality becomes the main focus and #security takes a back seat.
Connectivity • Connecting so many devices will be one of the biggest challenges of the future of IoT, and it will defy the very structure of current communication models and the underlying technologies.
• At present we rely on the centralized, server/client paradigm to authenticate, authorize and connect different nodes in a network.
This model is sufficient for current IoT ecosystems, where tens, hundreds or even thousands of devices are involved. But when networks grow to join billions and hundreds of billions of devices, centralized brokered systems will turn into a bottleneck.
• Such systems will require huge investments and spending in maintaining cloud servers that can handle such large amounts of information exchange, and entire systems can go down if the server becomes unavailable.
• The future of IoT will very much have to depend on decentralizing IoT networks. Part of it can become possible by moving functionality to the edge, such as using #fog computing models where smart devices such as IoT hubs take charge of time-critical operations and cloud servers take on data gathering and analytical responsibilities.
• Other solutions involve the use of peer-to- peer communications, where devices identify and authenticate each other directly and exchange information without the involvement of a broker. Networks will be created in meshes with no single point of failure.
• This model will have its own set of challenges, especially from a security perspective, but these challenges can be met with some of the emerging IoT technologies such as #Blockchain.
• IoT is growing in many different directions, with many different technologies competing to become the standard. This will cause difficulties and require the deployment of extra hardware and software when connecting devices.
• Other compatibility issues stem from non- unified cloud services, lack of standardized #M2M protocols and diversities in firmware and operating systems among IoT devices.
• Some of these technologies will eventually become obsolete in the next few years, effectively rendering the devices implementing them useless.
• This is especially important, since in contrast to generic computing devices which have a lifespan of a few years, IoT appliances (such as smart fridges or TVs) tend to remain in service for much longer, and should be able to function even if their manufacturer goes out of service.
Standards • Technology standards which include network protocols, communication protocols, and data-aggregation standards, are the sum of all activities of handling, processing and storing the data collected from the sensors. • This aggregation increases the value of data by increasing, the scale, scope, and frequency of data available for analysis.
Challenges facing the adoptions of standards within IoT
• Standard for handling unstructured data: Structured data are stored in relational databases and queried through #SQL for example. Unstructured data are stored in different types of #NoSQL databases without a standard querying approach.
• Technical skills to leverage newer aggregation tools: Companies that are keen on leveraging big-data tools often face a shortage of talent to plan, execute, and maintain systems.
Intelligent Analysis & Actions • The last stage in IoT implementation is extracting insights from data for analysis, where analysis is driven by cognitive technologies and the accompanying models that facilitate the use of cognitive technologies.
• Artificial intelligence (#AI) models can be improved with large data sets that are more readily available than ever before, thanks to the lower storage
• Growth in #crowdsourcing and open- source analytics software: Cloud-based crowdsourcing services are leading to new algorithms and improvements in existing ones at an unprecedented rate.
• Real-time data processing and analysis: Analytics tools such as complex event processing (CEP) enable processing and analysis of data on a real-time or a near real- time basis, driving timely decision making and action
• Inaccurate analysis due to flaws in the data and/or model: A lack of data or presence of outliers may lead to false positives or false negatives, thus exposing various algorithmic limitations
• Legacy systems’ ability to analyze unstructured data: Legacy systems are well suited to handle structured data; unfortunately, most IoT/business interactions generate unstructured data
• Legacy systems’ ability to manage real- time data: Traditional analytics software generally works on batch-oriented processing, wherein all the data are loaded in a batch and then analyzed
• The second phase of this stage is intelligent actions which can be expressed as #M2M and M2H interfaces for example with all the advancement in UI and UX technologies.
• Lower machine prices
• Improved machine functionality
• Machines “influencing” human actions through behavioral-science rationale
• Deep Learning tools
• Machines’ actions in unpredictable situations
• Information security and privacy
• Machine interoperability
• Mean-reverting human behaviors
• Slow adoption of new technologies
Business • The bottom line is a big motivation for starting, investing in, and operating any business, without a sound and solid business model for IoT we will have another bubble this model must satisfy all the requirements for all kinds of e-commerce; vertical markets, horizontal markets, and consumer markets.
• End-to-end solution providers operating in vertical industries and delivering services using cloud analytics will be the most successful at monetizing a large portion of the value in IoT.
• While many IoT applications may attract modest revenue, some can attract more. For little burden on the existing communication infrastructure, operators have the potential to open up a significant source of new revenue using IoT technologies.
IoT can be divided into 3 categories based on usage and clients base:
1. Consumer IoT includes the connected devices such as smart cars, phones, watches, laptops, connected appliances, and entertainment systems.
2. Commercial IoT includes things like inventory controls, device trackers, and connected medical devices.
3. Industrial IoT covers such things as connected electric meters, waste water systems, flow gauges, pipeline monitors, manufacturing robots, and other types of connected industrial devices and systems.
• Clearly, it is important to understand the value chain and business model for the IoT applications for each category of IoT.
Society • Understanding IoT from the customers and regulators prospective is not an easy task for the following reasons:
• Customer demands and requirements change constantly.
• New uses for devices—as well as new devices—sprout and grows at breakneck speeds.
• Inventing and reintegrating must-have features and capabilities are expensive and take time and resources.
• The uses for Internet of Things technology are expanding and changing—often in uncharted waters.
• Consumer Confidence: Each of these problems could put a dent in consumers' desire to purchase connected products, which would prevent the IoT from fulfilling its true potential.
• Lack of understanding or education by consumers of best practices for IoT devices security to help in improving privacy, for example change default passwords of IoT devices.
Privacy • The IoT creates unique challenges to privacy, many that go beyond the data privacy issues that currently exist. Much of this stems from integrating devices into our environments without us consciously using them.
• This is becoming more prevalent in consumer devices, such as tracking devices for phones and cars as well as smart televisions.
https://oneinfodata.blogspot.com/2021/02/cms-with-python.html
CMS with Python
What is a CMS?
A content management system - better known as a CMS - is a kind of software that’s designed for the creation and modification of digital content. Among its wide variety of features, it usually offers publishing options, version control, search engine optimization, access control, and different design templates. It streamlines the content creation and publishing processes by providing a simple user interface that supports your marketing strategy, without requiring any advanced technical knowledge from users. It is used to create user friendly environment.
Core functionality and managing assets factors should you pay attention to when choosing a technology to build a CMS?
A good CMS should provide multiple handy out-of-the-box functionalities; this will make working with content easier and more robust. It should also allow for easy asset management.
User interaction:
The CMS should be intuitive and user friendly; it should provide self-explanatory ways to manage content and even add new subpages.
SEO:
A good CMS should be prepared for SEO. The page structure, meta tags, and other auto-generated content have to be SEO-friendly.
Integration with other systems:
The CMS should be a place gathering in one spot different external services and providers necessary for your business to function, such as payment gateways or social media integrations.
Popularity:
It’s super important to choose a technology which is backed by a large community, offers lots of integrations and extensions along with easy-to-find manuals.
Experts:
You need to have access to a broad market of IT specialists who will help you create your ideal team and be able to fill in any rotation gaps.
Performance:
The selected technology should start performing right out of the box, and be easy to install and deploy without bearing additional expenses on external support.
Cloud storage:
You might need a wide range of cloud solutions for installing and storing the entire system.
Security:
It’s safer to select a full-fledged technology - one that has already been tested in many different areas and is supported by a community that deals with any new bugs.
All of these factors appear to be outstanding in Python development.
Why is Python a good language of choice for creating a CMS?
1. Maturity:
Python has two big players in the world of CMSs: Wagtail and Django CMS. Both are well-tested and mature, quality solutions, with a large community of customers, editors and - above all - developers who are constantly working on new features and releasing updates and bug fixes. This is important because it makes the software even more functional and reliable.
2. Ease of use and speed :
Python frameworks are easy to adapt and convert into a tailor-made CMS, while at the same time act like building blocks for programming. This is extremely helpful when it comes to fast delivery with a limited team, as you can have a lot of functions, like contact forms, WYSIWYG editor or page hierarchy without coding, since they are already implemented.
3. Prebuilt admin dashboard:
Both Wagtail and Django CMS are built on top of the Django framework which comes with a prebuilt admin dashboard. This is a huge advantage in terms of the speed of developing a CMS that has a built-in space for admins to manage content, users, and so on. You can get a sneak peek by clicking on the links: DjangoCMS/Wagtail.
4. Advanced and ready-to-use features:
The biggest advantages of Python frameworks include: simplicity of deployment, the availability of cloud solutions (like AWS, GCP or Heroku) and a lot of single-click tools that make it possible to establish proper CI/CD pipelines for high degrees of automation in the process of delivering new code. These and many other things guarantee that your product will be well-tested and resistant to time.
What is crucial from business perspective?
All of these points are not only significant for devs, but also crucial from a business perspective.
When you use a mature and relatively secure framework backed by so many experts, you don’t have to spend a lot of time and money on any additional support.
You also have more specialized developers to choose from. Looking for someone to fill a vacancy is not so problematic.
The ease of use and many built-in features already available in the framework make development go much faster. It’s also more efficient and less costly.
The further development of your CMS also becomes simpler, so you can think about unwinding its full potential, making it as made-to-measure as possible.
Remember: if you don’t adjust the technology required for building a CMS properly, this may result in a lengthier development and very poor support in the case of a critical situation. There’s also a big chance that you will be dramatically limited by its functions, so scaling may be a nightmare. You might spend a lot of money on solving problems that wouldn’t have occurred if you had just selected a better option.
This is why creating a Python-based CMS may be the safest alternative.
https://oneinfodata.blogspot.com/2021/02/about-iot-bigdata.html
About IOT & BIGDATA
Introduction Internet of Things (IoT) and Big Data.
Internet of Things (IoT) Wave Internet of Things (IoT): Enabling communication between devices, people & processes to exchange useful information & knowledge that create value for humans Term was first proposed by Kevin Ashton in 1999 Source: The Economist Source: Ericsson, June 2016 Internet of Things (IoT) and Big Data.
Reasons why IoT opportunity is occurring now ?
Affordable hardware • Costs of actuators & sensors have been cut in half over last 10 years Smaller, more powerful hardware • Form factors of hardware have shrunk to millimetre or even nanometer levels Ubiquitous & cheap mobility • Cost for mobile devices, bandwidth and data processing has declined over last 10 years Availability of supporting tools • Big data tools & cloud based infrastructure have become widely available Mass market awareness • IoT has surpassed a critical tipping point • Vision of a connected world has reached such a followership that companies have initiated IoT developments • Commitment is irreversible Internet of Things (IoT) and Big Data6
The Sensing-as-a-Service Model Internet of Things (IoT) and Big Data.
Towards an IoT Architecture Internet of Things (IoT) and Big Data
Key Challenges for building an IoT application
1. Connect:
How to collect data from intelligent devices? • Abstract complexity associated with device connectivity • Standardize integration of devices with enterprise
2. Analyze:
How to analyze IoT data?
• Reduce noise and detect business event at real-time • Enable historical big-data analysis
3. Integrate:
How to integrate IoT data & events with enterprise infrastructure? • Make enterprise processes IoT friendly • Allow enterprise & mobile applications to control devices Internet of Things (IoT) and Big Data.
Today:
Existing Service-/API Architecture as a base 19 Mobile Apps D B Rich (Web) Client Apps D B API Gateway Enterprise Service Bus (ESB) / Data Integration Enterprise Apps WS External Cloud Service Providers BPM and SOA Platform Event Business Logic/Rules Business Intelligence Services WS Event Processes Visualization Analytics DB REST / SOAP REST / SOAP REST / SOAP SOAP Various SQL SOAP REST Service BusOracle Data Integrator API Gateway SOA Suite BPM Suite Business Activity Monitoring Internet of Things (IoT) and Big Data = one way = request/response.
REST / SOAP REST / SOAP IoT 1a) Reuse exiting Service-/API-based Architecture IoT Smart Devices 20 Mobile Apps D B Rich (Web) Client Apps D B Enterprise Service Bus (ESB) / Data Integration Enterprise Apps WS External Cloud Service Providers BPM and SOA Platform Event Business Logic/Rules Business Intelligence Services WS Event Processes Visualization Analytics DB REST / SOAP REST REST JMS / REST SOAP Various SQL SOAP REST WebSocket JMS Service BusOracle Data Integrator API Gateway API Gateway JMS JMS WeblogicJMS SOA Suite BPM Suite Business Activity Monitoring Internet of Things (IoT) and Big Data = one way = request/response.
https://oneinfodata.blogspot.com/2021/02/iot-solutions-challenges.html
IoT Solutions & Challenges
IoT Solutions & Challenges Internet of Things (IoT) and Big Data Solutions • Adding Big Data platform allows to store all raw data in the distributed file system in a scalable and reliable manner Challenges • How can we leverage the Big Data platform for more than just storing raw data? How does it combine with the stream processing?
Continuous Ingestion / Fan-In from the Edge DB Source Big Data Log Stream Processing IoT Sensor Event Hub Topic Topic REST Topic IoT GW CDC GW Connect CDC DB Source Log CDC Native IoT Sensor IoT Sensor, Dataflow GW Topic Topic Queue MQTT GW Topic Dataflow GW Dataflow TopicREST 37 File Source Log Log Log Social Native Internet of Things (IoT) and Big Data37 Topic Topic
Challenges for Ingesting Sensor Data Internet of Things (IoT) and Big Data • Multitude of sensors • Multiple Firmware versions • Bad Data from damaged sensors • Data Quality.
REST / SOAP REST / SOAP IoT 6a) Adding Data Mining / Machine Learning and Model execution 40 Mobile Apps D B Rich (Web) Client Apps D B (ESB) / Data Integration IoT Devices IoT Gateways IoT Smart Devices Event Hub Event Hub Enterprise Apps WS External Cloud Service Providers BPM and SOA Platform Event Business Logic/Rules Business Intelligence Services WS Event Processes Visualization Analytics DB Service Bus Oracle Data IntegratorKafka Kafka Kafka SOAP Various SQL SOAP REST WebSocket JMS JMSAPI GatewayAPI Gateway REST REST Kafka Kafka SQL REST REST REST / SOAP Stream Processing ESP/CEP DB DB Big Data Processing HDFS Batch Processing DB Kafka Kafka HDFS ESP/CEP Edge Analytics MQTT MQTT Stream Analytics Hadoop / Spark Oracle Big Data Appliance SOA Suite BPM Suite Business Activity Monitoring Internet of Things (IoT) and Big Data40 Kafka / MQTT / REST Kafka / MQTT / REST = one way = request/response I 4.0 Machine DB CDC GoldenGate MQTT Kafka / MQTT / REST Kafka
IoT Reference Architecture Internet of Things (IoT) and Big Data
IoT Services IoT Logical Reference Architecture IoT Device Sensor Actuator IoT Gateway Storage UIApp Streaming Analytics Enterprise Applications BPM and SOA PlatformStreaming Analytics Storage Endpoint Management Event Hub Service Bus Event Hub Event Hub Service Bus Big Data / BI Storage Services Processes UIApp Storage Bulk Analytics UI Bulk Analytics UI Storage Streaming Analytics Service Bus API REST SOAP HTTP KAFKA MQTT CoAP XMPP DDS AMQP KAFKA WIFI BLE ZigBee WIFI Wired Internet of Things (IoT) and Big Data43
IoT Services IoT Logical Reference Architecture – Oracle on premises IoT Device Sensor Actuator IoT Gateway Storage UIApp Streaming Analytics Enterprise Applications BPM and SOA PlatformStreaming Analytics Storage Endpoint Management Event Hub Service Bus Event Hub Event Hub Service Bus Big Data / BI Storage Services Processes UIApp Storage Bulk Analytics UI Bulk Analytics UI Storage Streaming Analytics Service Bus API REST SOAP HTTP KAFKA MQTT CoAP XMPP DDS AMQP KAFKA WIFI BLE ZigBee WIFI Wired Edge Analytics Business Activity Monitoring SOA Suite BPM Suite Service Bus Oracle Data Integrator Stream Analytics Big Data Appliance Stream Analytics Service Bus API Gateway Internet of Things (IoT) and Big Data44 Oracle IoT CS Gateway Oracle IoT CS Client Library
IoT Services IoT Logical Reference Architecture – Oracle Cloud Services IoT Device Sensor Actuator IoT Gateway Storage UIApp Streaming Analytics Enterprise Applications BPM and SOA PlatformStreaming Analytics Storage Endpoint Management Event Hub Service Bus Event Hub Event Hub Service Bus Big Data / BI Storage Services Processes UIApp Storage Bulk Analytics UI Bulk Analytics UI Storage Streaming Analytics Service Bus API REST SOAP HTTP KAFKA MQTT CoAP XMPP DDS AMQP KAFKA WIFI BLE ZigBee WIFI Wired Edge Analytics Oracle BI CS Oracle Big Data CS Oracle SOA CS Oracle Integration CS Oracle IoT CS Oracle Streaming Analytics CS Oracle Messaging CS Oracle Big Data Discovery CS Oracle Mobile CS Internet of Things (IoT) and Big Data45 Oracle IoT CS Gateway Oracle IoT CS Client Library Oracle Process CS Oracle DataFlow ML CS Big Data Preparation CS Application Container CS Container CS.
https://oneinfodata.blogspot.com/2021/03/cloud-computing-components.html
Cloud Computing Components
Cloud Components has three components
1.) Client computers 2.) Distributed Servers 3.) Data-centers
Clients Clients are the device that the end user interact with cloud.
three types of clients: 1.) Mobile 2.) Thick 3.) Thin (Most Popular)
Data-center It is collection of servers where application is placed and is accessed via internet.
Distributed servers Often servers are in geographically different places, but server acts as if they are working next to each other.
Central Server
It Administers the system such as monitoring traffic, client demands to ensure everything runs smoothly.
It uses a special type of software called Middleware.
Middleware allow computer to communicate each other.
Service Models :
SaaS(Software as a service): Required software, Operating system & network is provided.
PaaS(Platform as service): Operating system and network is provided.
IaaS(Infrastructure as a service): just Network is provided.
Deployment of Cloud Service
Public Cloud, Private Cloud, Community Cloud, Hybrid Cloud(Combined Cloud)
Why cloud service is popular?
Reduce the complexity of networks.
Do not have to buy software licenses.
Customization.
Cloud providers that have specialized in a particular area (such as e-mail) can bring advanced services that a single company might not be able to afford or develop.
scalability, reliability, and efficiency. Info. at cloud are not easily lost.
https://oneinfodata.blogspot.com/2021/03/cloud-computing-simple.html
Cloud Computing Simple
Cloud Computing Simple
Simplifying The Cloud:
• So much talk about the cloud but what is it? – Simply it is using the internet to access such things as your files, data or email, rather than having them locally on your desktop or laptop.
• Why would you want these things to be in The Cloud? – Accessibility from wherever you are and from any devise (desktop, laptop, mobile devise), whenever you want it.
Is The Cloud Really That Simple?
• Yes and there is even more benefits for your business to move into the cloud.
• With any new shift in the technologies that influence how you run your business, there are also a lot of questions.
Top 10 Questions About Cloud Solutions:
1. How Do You Back Up Our Data In The Cloud?
2. How Secure Is My Data In The Cloud?
3. Is Server Redundancy Easier In The Cloud?
4. Can I Run My Legacy Applications In The Cloud?
5. How Do Cloud Solutions Cut Energy Costs?
6. How Can I Access The Cloud?
7. How Do I Maintain My IT System In The Cloud?
8. When Should My Business Consider Moving into The Cloud?
9. Can My Business Do a Partial Cloud Solution or All at Once?
10. Is The Cloud Expensive?
4. How Do You Back Up Our Data In The Cloud?
• Backups are frequent and automated. There is no human error element, that for example “Bob” from IT was sick today and no else changed the tapes.
• Back-ups are sent digitally offsite to another location. This means your data is better protected against natural and man-made disasters, like hurricanes, fire or theft.
• Data/System recovery is much faster. If something were to happen to your data in the cloud, that data can easily be recovered and brought back online.
5. How Secure Is My Data In The Cloud?
• Virtualization technology is what makes the cloud run, which is inherently safer than a traditional server environment.
• A virtual server can hold 10x as much as a traditional server – Fewer points of entry into your network for malicious intent – Fewer servers to monitor and maintain simplifies security monitoring.
• See server redundancy question for additional security benefits.
6. Is Server Redundancy Easier In The Cloud?
• What is redundancy? Having a computer system or network device that takes over when the primary unit fails.
• Redundancy is built into the virtualization technology itself. – If one system goes down it automatically rolls to a new one.
• With the Cloud SMB’s have access to a technology that in the past has been complex and expensive. – Business is up and running 99.9% of the time, equaling minimal loss in revenue or employee productivity.
7. Can My Legacy Applications Run In The Cloud?
• Yes, the cloud actually preserves legacy applications and are ideal candidates to move to The Cloud.
• Many legacy applications are built and only run on outdated technology. If a problem or upgrade is needed for the application it is very expensive or impossible to move or upgrade the technology.
• By utilizing the application on the virtualized server in the Cloud, it allows it to run efficiently on a new technology platform.
8. How Do Cloud Solutions Cut Energy Costs?
• Virtualization, the technology that runs the cloud is 60% more energy efficient than traditional servers.• Virtualized servers can be at 80% utilization. Versus traditional servers at 25%-30% utilization. Fewer servers are needed = less energy used.
• With Hosted Cloud Solutions and eliminating your server, you further reduce your electric bill.
• You can access the cloud anytime and anywhere you have an internet connection and from almost any device.• There are applications that you can install to access multiple clouds.
• Being able to access the cloud(s) whenever allows employees to connect to their desktop and applications remotely allowing for better time management.
10. How Can I Maintain My IT System In the Cloud?
• When you use the Sun Digital hosted cloud there are no client maintenance responsibilities.
• Cloud solutions use virtualization technology. Sun Digital can monitor, maintain multiple IT systems, deploy security patches, and software updates seamlessly.
• Prior to moving over to the cloud most Sun Digital clients spent 1 hour a day maintaining their IT system and sometimes another 2 hours on monthly maintenance. That is 22 hours of and 14% of that IT staff person’s time.
• Sun Digitals hosted cloud solution allows faster problem solving and helps your business to run more efficiently.
11. When Should My Business Consider Moving into the Cloud?
• When starting a new company cloud solutions offer an affordable start up with a monthly hosting fee.
• When a server or work station reach’s its end of life. Cloud solutions are more affordable than purchasing new equipment.
• When your business needs to stabilize expenses. Hosted cloud solutions have flat monthly cost instead of investing in more costly equipment.
12. Can My Business Do a Partial Cloud Solution or All at Once?
• A partial cloud solution, is ideal as technology comes to its end of life.
• A partial cloud solutions should be considered when using graphics heavy software programs. These types of programs perform better on the local client machine.
• If your business and staff want to try the cloud out prior to going completely into the cloud, a partial cloud solution for email, calendar, and contact systems are great ways to get started.
• With a hosted cloud environment, businesses would be eliminating servers and applications, which eliminates the energy costs to run the systems.
• Hosted cloud solutions are priced according to usage.
• The cloud has a lower set up cost versus large technology investments for onsite servers.
14. Summary
• There are many benefits to taking your technology into The Cloud – IT Efficiency, Administration, Data Safety and Cutting Operational Costs
• Get through the hype and consider a pilot project or application to move into The Cloud
• Understand that not every application or system is a good candidate for The Cloud
• Choose a technology partner who has experience with multiple Cloud projects and complexities, there is no cookie cutter approach.
15. Why Is Sun Digital Qualified To Advise On The Cloud?
• Information Technology Company Established in 1996.
• Working with virtualization and Cloud technologies with its inception into the commercial market.
• Wholly owns and operates a completely virtualized data center.
• Has an impressive list of references for successfully implemented cloud projects.
https://oneinfodata.blogspot.com/2021/04/about-python.html
about python
Python allows you to split your program into modules that can be reused in other Python programs. It comes with a large collection of standard modules that you can use as the basis of your programs — or as examples to start learning to program in Python. Some of these modules provide things like file I/O, system calls, sockets, and even interfaces to graphical user interface toolkits like Tk.
Python is an interpreted language, which can save you considerable time during program development because no compilation and linking is necessary. The interpreter can be used interactively, which makes it easy to experiment with features of the language, to write throw-away programs, or to test functions during bottom-up program development. It is also a handy desk calculator.
Python enables programs to be written compactly and readably. Programs written in Python are typically much shorter than equivalent C, C++, or Java programs, for several reasons:
the high-level data types allow you to express complex operations in a single statement;
statement grouping is done by indentation instead of beginning and ending brackets;
no variable or argument declarations are necessary.
Python is extensible: if you know how to program in C it is easy to add a new built-in function or module to the interpreter, either to perform critical operations at maximum speed, or to link Python programs to libraries that may only be available in binary form (such as a vendor-specific graphics library). Once you are really hooked, you can link the Python interpreter into an application written in C and use it as an extension or command language for that application.
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