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What do these terms mean? And what is the difference?

Data Science and Artificial Intelligence are creating a lot of buzzes these days. But what do these terms mean? And what is the difference between them?

While the terms Data Science and Artificial Intelligence (AI) comes under the same domain and are inter-connected to each other, they have their specific applications and meaning.

There’s no slowing down the spread of AI and data science. Many big tech giants are extensively investing in these technologies. As per the recent survey, it is estimated that artificial intelligence could add $15.7 trillion to the global economy by 2030.

Through this piece of writing, I will be explaining about the AI and data science concepts and their differences in detail. So, without wasting any more time, let’s get started!

Intro

Every Linux professional write scripts. Someеimes light, linear. Sometimes complex script with functions and libs(yes, you can write your bash-library for use in other scripts).

But some of the scripts need a configuration file to work. For instance, I wrote a script that builds the ubuntu image for pxe, and I need to change the build process without build-script changes. The best way to resolve this task is to add configuration files.

Hello, my name is Andrey Sergeyev and I work as a Head of IoT Solution Development at Mail.ru Cloud Solutions. We all know there is no such thing as a universal database. Especially when the task is to build an IoT platform that would be capable of processing millions of events from various sensors in near real-time.

Our product Mail.ru IoT Platform started as a Tarantool-based prototype. I’m going to tell you about our journey, the problems we faced and the solutions we found. I will also show you a current architecture for the modern Industrial Internet of Things platform. In this article we will look into:

• our requirements for the database, universal solutions, and the CAP theorem
• whether the database + application server in one approach is a silver bullet
• the evolution of the platform and the databases used in it
• the number of Tarantools we use and how we came to this

Sometimes, tired of endless code review and debugging, you start wondering if there are ways to make your life easier. After some googling or merely by accident, you stumble upon the phrase, "static analysis". Let's find out what it is and how it can be used in your project.

If a person is far over 20, then he has already accumulated a huge film library of his life, as well as videos from friends, relatives, and from his place of work… It is no longer possible to find someone or something specific there. Recently, I was preparing a video compilation for my daughter's anniversary – I spent a week. The media is all the more overloaded with video archives. And every day, millions of terabytes of video content appear in the world. And this is in the era of BIG DATA.

Academic data warehouse design recommends keeping everything in a normalized form, with links between. Then the roll forward of changes in relational math will provide a reliable repository with transaction support. Atomicity, Consistency, Isolation, Durability — that's all. In other words, the storage is explicitly built to safely update the data. But it is not optimal for searching, especially with a broad gesture on the tables and fields. We need indices, a lot of indices! Volumes expand, recording slows down. SQL LIKE can not be indexed, and JOIN GROUP BY sends us to meditate in the query planner.

Intro

PXE is a great solution for booting a diskless computer (or a computer without an OS installed). This method is often used for terminal stations and OS mass installation.

Stock ubuntu (16.04) in pxe-mode can mount rootfs only from NFS. But this is not a great idea: any difficulties with the network/NFS server and the user gets problems.

In my opinion, it's best to use other protocols, such as http/ftp. Once booting, you will have an independent system

Static code analysis is most effective when changing a project, as errors are always more difficult to fix in the future than at an early stage. We continue expanding the options for using PVS-Studio in continuous development systems. This time, we'll show you how to configure pull request analysis using self-hosted agents in Microsoft Azure DevOps, using the example of the Minetest game.

Do you like GitLab and don't like bugs? Do you want to improve the quality of your source code? Then you've come to the right place. Today we will tell you how to configure the PVS-Studio C# analyzer for checking merge requests. Enjoy the reading and have a nice unicorn mood.

One of the most relevant scenarios for using the PVS-Studio analyzer is its integration into CI systems. Even though a project analysis by PVS-Studio can already be embedded with just a few commands into almost any continuous integration system, we continue to make this process even more convenient. PVS-Studio now supports converting the analyzer output to the TeamCity format-TeamCity Inspections Type. Let's see how it works.

Why do you need a CRM system? Well, it’s at least more convenient than keeping your client database in Excel. Why do you need CRM with VoIP? If you have ever interacted offline, you know you cannot do it without telephony (orders, delivery, support etc.).

But what prevents 80% of companies from trying out a CRM tool? If prices is the matter, we are offering a free CRM system integrated with the phone system and free PBX.

To anticipate questions about installation difficulty, CRM setup and contact import doesn’t take more than 5 minutes.

Blockchain possesses incredible potential, that's why blockchain systems are considered as a paradise for data. In all these years, the discovery of Blockchain has been enjoyed for the introduction of distributed systems to secure data by cryptography.

From the creation of cryptocurrency to distributed ledger systems and mobile applications, this technology is being welcomed by every business vertical, and its adoption has become complimentary for companies. Moreover, its adoption can majorly be cherished by the healthcare industry.

A number of IT institutions are engaged in finding the most promising usage of blockchain technology in healthcare. Let's take a brief look at Blockchain adoption in 2020.

The Global Blockchain Adoption

In 2020, the worldwide spending on blockchain systems is USD 4.3 billion. As per Statista, the market of Blockchain will be worth 20 billion USD by the year 2025. Its most critical adoption can be seen in the healthcare industry, where this technology is being considered as the biggest game-changer.



The truth is that this technology has shown a path to distributed systems coupled with unmatched security measures That secure data in a chain of blocks infused with cryptographic locks. Top-notch level security and quality of not being tempered by any external entity boost its adoption in several instances.

We have all been there  —  having a nice idea for a hackathon, hobby or a side project and having a burning desire to start coding as soon as possible. And how many possibilities (Heroku, Glitch and others) are there now to bootstrap your app and deploy it immediately.

When Alex Garland’s series Devs (on FX and Hulu) came out this year, it gave developers their own sexy Hollywood workup. Who knew that coders could get snarled into murder plots and love triangles just for designing machine learning programs? Or that their software would cause a philosophical crisis? Sure, the average day of a developer is more code writing than murder but what a thrill to author powerful new program.

A still from «Our Secret Universe: The Hidden Life of the Cell»

Investment business is one of the most complex domains in the banking world. It's about not just credits, loans, and deposits — there are also securities, currencies, commodities, derivatives, and all kinds of complex stuff like structured products.

Recently, people have become increasingly aware of their finances. More and more get involved in securities trading. Individual investment accounts have emerged not so long ago. They allow you to trade in securities and get tax credits or avoid taxes at the same time. All clients coming to us want to manage their portfolios and see their reporting on-line. Most frequently, these are multi-product portfolios, which means that people are clients of different business areas.

Moreover, the demands of regulators, both Russian and international, also grow.

To meet the current needs and lay a foundation for future upgrades, we've developed our Tarantool-based investment business core.

It is easy to try a static code analyzer. But it requires skills to introduce it in the development of an old large project. If the approach is incorrect, the analyzer can add work, slow down development, and demotivate the team. Let's briefly discuss how to properly integrate static analysis into the development process and start using it as part of CI/CD.

Greetings to all!

As a matter of fact I haven't found so far any generalized guide on logging and monitoring of metrics from external systems to Kubernetes on the web. Here I want to share with you my own version. First of all it is supposed that you have already got working Prometheus and other services.

As an example I use third-party data for stateful service RDBMS PostgreSQL in a Docker container. In our company we also use the Helm package manager, and you'll find how it works below. You can see same examples in this article below. You can see same examples in this article below. For a complete solution we create a nested chart.

Even the most experienced and highly qualified system administrators often have only a vague idea of what exactly happens during the server startup process. So, let's look at this process in detail.

For any site, it is important to properly configure the HTTP headers. A lot of articles have been written on the subject of headings. Here we have summarized the lessons learned, the RFC documentation. Some of the headings are mandatory, some are obsolete, some can be confusing and contradictory. We did a parsing to automatically check the HTTP headers of the web server.

Correct HTTP headers increase security and trust in the site, including from search engines, can affect the site’s position in Yandex and Google, save server resources, reduce server load, thereby increasing the server response speed, which again affects the ranking of the site in the search, save money on payment powerful hosting, which may not be required for the site when configured correctly.

We are a team of independent developers. We have created a new messenger, the purpose of which is to solve the critical problems of the modern Internet and the modes of communication it provides. We see users become hostages to the services they have grown accustomed to and we see corporations exploiting their users and controlling them. And we don’t like it. We believe the Internet should be different.
In this Manifesto, we disclose our vision of the Internet and describe what we have done to make it better. If you share our ideas — join us. Together we can achieve more than each of us can alone.