creduts : Jaxenter

 

Technical expert Infomentum has partnered with IT education organisation EDITx to host the UK’s first Java challenge, launching on April 9, 2018.

The challenge invites Java students and professionals alike to enter an online gamified competition. They compete in separate leagues, alongside their peers, so that everyone gets a fair chance to be crowned UK Java Knight.

Both renowned Java experts and University Professors accepted to play the game as jury members and to write the questions of the challenge.

The jury members are :

  • Helene de Ribaupierre: Lecturer at Cardiff university
  • Oliver Szymanski: Founder of the Association of Java User Groups, Speaker & Director at Source Knights Ltd.
  • Mani Sarkar: Software Craftsman, Java/JVM Developer, Conference speaker, Blogger, various dev. comm. & conf, infra/containers/virtual tech & Steering Committee Member at DevoxxUK
  • Mauricio Salatino: Author, International Speaker & Principal Software Engineer at Alfresco
  • Siva Narayan: CTO, Author, Key Note Speaker – “Data Asset” “The Next Data Rush” at Focus Group Ltd.
  • Maurice Naftalin: Java Champion, Author, Speaker, Associate at JavaSpecialists.EU & Technical Director at Morningside Light Ltd.
  • Carlos Matos: Senior Lecturer at Royal Holloway University of London
  • Sandro Mancuso: Author, International Speaker, Founder of the London Software Craftsmanship Community, Software Craftsman & Managing Director at Codurance
  • Peter Lewis: Lecturer in Computer Science at Aston University
  • Peter Lawrey: Java Champion, Blogger, Speaker & CEO at Higher Frequency Trading Ltd.
  • Michael Kölling: Vice Dean for Education, Faculty of Natural and Mathematical Sciences at King’s College London
  • Jens Krinke: Senior Lecturer at University College London
  • Jeroen Keppens: Lecturer at King’s College London
  • Dan Hardiker: Chief Technical Officer at Adaptavist.com Ltd.
  • Antonio Filieri: Lecturer (Assistant Professor) at Imperial College London
  • William Clocksin: Dean of the School of Computer Science at University of Hertfordshire
  • Jaap Boender: Lecturer at Middlesex University London
  • Rabih Bashroush: Reader at University of East London
  • Ruben Badaró: Executive Director at Morgan Stanley
  • Shaha Alam: Oracle Fusion Middleware Consultant at Infomentum

The rules are easy: The participants have 15 minutes to give the correct answer to as many Java questions as they can (maximum 17 questions). The questions are multiple-choice with one or several good answers and an associated score 1, 2 or 3 points if answered correctly. A wrong answer results in a score of (-1) irrespective the level of the question.

The Challenge allows the usage of three “jokers”: the “50/50”, “Ask the challengers”, and “Ask a friend”. The total score will be the cumulative score of all questions answered within the set time frame of 15 minutes.

After 2 weeks, hundreds of Java profiles located all over the United Kingdom registered and participated in the challenge. The challenge is still open for 3 more weeks (ending May 25, 2018).

Last week, the companies Cisco and Dimension Data were organizing a Python challenge. A 16 years old boy surprised everyone by ranking second at the finals in the Cisco Head Office in Brussels.

The current leader in the IT Student category comes from the University of Leeds; his score is 58. The current best professional is working at Amazon Development Center; his score is 68.

The youngest participant is currently 18 years old and the oldest is 73 years old.

Three main purposes for contestants

(a) Fun, emotion and a bit of stress; a great competition with prizes to win.

(b) It’s an opportunity to learn some things: participants can refresh or improve their skills, benchmark themselves and compare to others, learn more about Java or just discover it.

(c) It’s a place suited for social interactions between contestants; they can follow Java leaders and influencers (the jury members!)

What’s in it for you

  • First Prize Student & Professional: £800 flight voucher for use on your choice of over 300 airlines
  • Second Prize Student & Professional: £500 voucher to be used for an experience of your choice. You could: have a romantic getaway, experience a supercar driving track day, spend a weekend glamping in a treehouse or more!
  • Third Prize Student & Professional: £250 Amazon gift voucher

Infomentum, the sponsor of the challenge may contact the participants:

  • To share challenge results
  • To award the prizes to the best participants
  • To share future intern or job opportunities

Tips 

“Swot up and think laterally. The answer you seek is right in front of you.” – Dan Hardiker, Chief Technical Officer at Adaptavist.com Ltd.

“My main advice for the contestants will be to pay a lot of attention to detail.” – Carlos Matos, Senior Lecturer at Royal Holloway University of London

“Use the jokers at the right time and keep a close eye on the clock.” – Alexandre Dembour, Partner EDITx

 

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Credits : Eurekalert

 

The Project Jupyter team has been honored with an Association of Computing Machinery (ACM) Software System Award for developing a tool that has had a lasting influence on computing. Project Jupyter evolved from IPython, an effort pioneered by Fernando Pérez, an assistant professor of statistics at UC Berkeley and staff scientist in the Usable Software Systems Group in Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computational Research Division.

The award and a prize of $35,000 will be presented to the team at the ACM Awards banquet in San Francisco on June 23, 2018.

Project Jupyter is an open, international collaboration that develops tools for interactive computing: a process of human computer interplay for scientific exploration and data analysis. The collaboration develops applications such as the widely popular Jupyter Notebook, an open-source web app that allows users to create and share documents that contain live code, equations, visualizations and narrative text.

Today, more than 2 million Jupyter Notebooks are hosted on the popular GitHub service, covering technical documentation to course materials, books and academic publication. Jupyter has been transformative in scientific collaborations and reproducibility, as exemplified by its use at the LIGO observatory, whose discovery of gravitational waves was recognized with the 2017 Nobel Prize in Physics. The LIGO Open Science Center publishes Jupyter Notebooks that allow anyone to replicate their original analyses. Jupyter Notebooks also serves as a core infrastructure for research endeavors like the Department of Energy (DOE)-funded KBase platform for predictive biology, the GenePattern Notebook project from the Broad Institute and UC San Diego and the European Union-funded OpenDreamKit project that is building virtual research environments for mathematics.

JupyterHub supports the deployment of Jupyter tools in multiuser environments, from small research groups to universities, companies and other organizations. JupyterHub is used in numerous commercial companies, research at facilities such as CERN and high-performance computing centers like DOE’s National Energy Research Scientific Computing Center (NERSC) and San Diego Supercomputer Center (SDSC).

“The flexibility of the Jupyter architecture makes it easy to deploy in a variety of scenarios: while individual users can run the tools on a personal laptop or workstation, the same tools can be deployed on remote resources,” says Shane Canon, a project engineer at NERSC. “In fact, NERSC offers Jupyter as an interactive tool for remote access to its supercomputing resources.”

At UC Berkeley two new courses Foundations of Data Science and Principles and Techniques of Data Science, will be supported by Jupyter Notebooks deployed in the cloud and integrated with campus authentication. The courses are being offered as part of UC Berkeley’ new data science major. Pérez will be teaching the upper-division course Principles and Techniques of Data Science.

In industry, the Jupyter Notebook is widely used as a daily computation and data-analysis tool, and major companies have created hosted services based on Jupyter. Google’s Cloud DataLab, Microsoft’s Notebooks on Azure and IBM’s Data Science Experience all offer Jupyter Notebooks on their respective cloud infrastructure.

In education, at least 45 different courses use Jupyter Notebooks to teach a wide variety of subjects, including high-school level Computer Science, Aerodynamics, Numerical Methods, Statistics, Computational Physics, Cognitive Science and Data Science. These have been deployed at leading universities in the U.S. and abroad, including UC Berkeley, Cal Poly, MIT, Harvard, Columbia and Imperial College.

As a graduate student studying physics at the University of Colorado in the early 2000s, Pérez remembers using a hodgepodge of software systems to illustrate code, equations, visualizations and text in his scientific computing papers. This inspired him to create a unified environment for scientific computing. He found researchers around the globe that had all independently started building scientific computing tools in Python and combined these disparate efforts into one open-source platform called IPython–“I” for interactive. The program was free, and anyone could inspect its code, modify it and make the output available under liberal licensing terms.

Over the years, IPython evolved to meet the needs of various communities and in 2014 project rebranded itself as “Jupyter” to recognize the fact that it was no longer just for Python. In 2015, Pérez and Brian Granger of California Polytechnic University, San Luis Obispo received $6 million from the Leona M. and Harry B. Helmsley Charitable Trust, Alfred P. Sloan Foundation and Gordon and Betty Moore Foundation to expand and improve the capabilities of the Jupyter Notebook.

Since then, Pérez and Granger have secured additional funding from other sources like the DOE and industry partners like Google, Microsoft and Anaconda Inc. Companies such as Bloomberg, IBM, Microsoft, Netflix, Rackspace and Anaconda also support the project, either with services or with the time of engineers who actively contribute to Jupyter’s development. The next-generation user interface for the Jupyter Notebook, known as JupyterLab, is currently being developed in an open collaboration with team members and engineers from Bloomberg and Anaconda.

“One afternoon in late 2001, I was a physics graduate student at the University of Colorado working on my dissertation and decided to spend an afternoon writing the original, tiny version of IPython,” says Pérez. “I could not have imagined that this would grow into a worldwide platform almost two decades later. For me, it’s been a wild ride, made possible by going from a personal exploration to an open collaboration with an incredible team ”

“This is a project that has demonstrated 20 years of intellectual contributions with major impact in research, education and industry, and it continues to make its advances available to the world as an open platform,” says Kathy Yelick, Associate Laboratory Director of Berkeley Lab Computing Sciences. “The ACM System Software Award is an incredible honor, and this team is entirely deserving of this recognition.”

###

In addition to Pérez, other members of the Jupyter Project collaboration include Brian E. Granger and Carol Willing (Cal Poly San Luis Obispo), Matthias Bussonnier (UC Berkeley BIDS), Paul Ivanov and Jason Grout (Bloomberg), Thomas Kluyver (European XFEL), Damián Avila (Anaconda, Inc.), Steven Silvester (JP Morgan Chase), Jonathan Frederic (Google), Kyle Kelley (Netflix), Jessica Hamrick (DeepMind), Sylvain Corlay (QuantStack), Peter Parente (Valassis Digital).

NERSC is a DOE Office of Science user facility.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Credits : Laravel-news

 

Updates to the Heredoc and Nowdoc syntaxes proposed in a php.net RFC have been made for the upcoming PHP 7.3 release. The updates focus on improving look and readability:

The heredoc and nowdoc syntaxes have very rigid requirements. This has caused them to be, in-part, eschewed by developers because their usage in code can look ugly and harm readability. This proposal therefore puts forth two changes to the current heredoc and nowdoc syntaxes:

  1. To enable for the closing marker to be indented, and
  2. To remove the new line requirement after the closing marker

The current implementation as of PHP 7.2, might look like this simple example:

<?php
class foo {
    public $bar = <<<EOT
bar
EOT;
}

In 7.3, the following is valid:

<?php
class foo {
    public $bar = <<<EOT
    bar
    EOT;
}

The indentation of the closing marker determines how much whitespace gets stripped from each new line within the heredoc/nowdoc:

<?php

// 4 spaces of indentation
echo <<<END
      a
     b
    c
    END;
/*
  a
 b
c
*/

In the current implementation of PHP 7.2, a new line must be present to terminate a heredoc/nowdoc. PHP 7.3 removes this requirement:

<?php

stringManipulator(<<<END
   a
  b
 c
END);

$values = [<<<END
a
b
c
END, 'd e f'];

Background on Heredoc and Nowdoc

Nowdoc is available in PHP as of v5.3.0 and differs from Heredoc in the same way that a double-quoted string differs from a single quoted string. No parsing is done inside a Nowdoc, which has added single quotes around the opening marker:

<?php

$name = 'Example';
$str = <<<'EOD'
Example of string $name
spanning multiple lines
using nowdoc syntax.
EOD;

The above nowdoc output will be the literal string:

Example of string $name
spanning multiple lines
using nowdoc syntax.

A Here Document is defined as follows:

In computing, a here document (here-document, here-text, heredoc, hereis, here-string or here-script) is a file literal or input stream literal: it is a section of a source code file that is treated as if it were a separate file. The term is also used for a form of multiline string literals that use similar syntax, preserving line breaks and other whitespace (including indentation) in the text.

The addition love given to Heredocs and Nowdocs should make using them in PHP more readable and less error-prone due to indentation and end in a newline. Also, the output formatting will be much cleaner because of stripping the indentation based on the closing marker.

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Credits : Dabcc

 

This blog post was co-authored by James Ashley, MR and AI Architect, Microsoft MVP.

Developers sometimes get anxious when it comes to hooking up a database for their apps. However, with Azure Database for MySQL and Azure Database for PostgreSQL, quickly propping up and accessing a relational database is a piece of cake. These lightweight, open source database services provide a great way to get small apps and prototypes started with very little effort. Without any extra work on your part, you can automatically take advantage of built-in security, fault tolerance, and data protection. You also can use point-in-time restore to recover a server to an earlier state—as far back as 35 days.

Azure Database for MySQL and Azure Database for PostgreSQL will work with whatever kind of project you are creating, whether it is a Linux app running in a Docker container orchestrated by Kubernetes, a computer vision service using Python, or a simple ASP.NET website to display travel photos.

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Credits : Technotification

 

No surprise, again Python is the best programming language. Let’s take a moment to appreciate Guido Van Rossum and Python Community for keeping it simple and top-notch coding language.

Competition and comparison among the programming languages are not new. It is an old school concept following from the academics and interviews. But the trend on social media platforms became the battlegrounds for such rivalries.

In such battleground, Python has again become the best programming language. Dominating with the highest 31% of votes comparing to other languages that are nominated by Linux Journal readers via Twitter. Following this C and C++ languages stood at the 2nd and 3rd positions with 20% and 14% of votes.

Why Python?
There are many reasons for Python to win the best programming language by Linux Journal Readers Choice award. However, the developers perspective and the features stand the best out of those reasons.

Developers are optimistic about everything while choosing language or writing code. They strive for a smart, effective, and efficient solution for a problem. That is the reason for them to vote for the simple, fast, and robust programming languages to write snippets.

As a matter of fact, Python has all those super features that simplify the task of programmers. It is an extremely high-level language that is simple to write and understand. Python is an open-source language that is constantly innovating with different communities around the globe. It is already on top of 5 Best Programming Languages for Artificial Intelligence Systems.

Whereas, applications of Python are numerous in different fields. And it is the language almost compatible with many code editors. Python is also recognized as an official programming language for Google. Thereafter, it has the flexibility to adapt and extend to the new technologies like AI, machine learning, IoT, and Blockchain.

Become a Python programmer
Are you ready to learn the best programming language? There are many resources and documentation available for users to become the efficient Python Programmer. You can check our article: What applications do you develop with Python Programming? to know more about its applications. You can also read this article: Which one is preferable for Machine Learning? R or Python! if you are interested in developing machine learning applications. Following are the useful resources to learn python from beginner to expert:

1. Google’s Python Class

2. Python Documentation

3. LearnPython

4. EDX Python Courses

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Credits : Zdnet

 

Stack Overflow has released the results of its annual survey of 100,000 developers, revealing the most-popular, top-earning, and preferred programming languages.

The most-loved languages are Kotlin and Mozilla-developed Rust, according to Stack Overflow’s 2018 developer survey.

TechRepublic: 100K developers share most loved and most hated programming languages

This was the first time developer community and jobs site Stack Overflow asked coders about the Java-friendly Kotlin, probably because Google gave it full support in the Android Studio integrated development environment last year.

Developer analyst firm RedMonk this week noted Kotlin is the second-fastest growing language after Apple’s Swift for iOS and macOS app development.

Other preferred languages include Python, Microsoft’s TypeScript, Google’s Go, Swift, JavaScript, C#, F#, and Clojure.

Among the most-loathed languages are Visual Basic 6, Cobol, CoffeeScript, VB.NET, and VBA.

However, JavaScript takes top spot as the most-popular programming, scripting, and markup language. It is followed by HTML, CSS, SQL, Java, Bash/Shell, Python, C#, and PHP. Python is one of the fastest-growing languages, according to Stack Overflow.

Microsoft’s Visual Studio Code is the overall most-popular development environment, while the most-loved platform is Linux. Google’s TensorFlow is also a popular tool.

The survey asked developers about their attitudes to the future of artificial intelligence and finds 73 percent are more excited about its possibilities than concerned by its dangers.

Only a quarter of respondents agree with Tesla CEO Elon Musk’s view that government should regulate AI. Musk this week said the cutting edge AI he sees “scares the hell out of me”.

Developers in the US working with Erlan, Scala, Ocaml, Clojure, Go, Groovy, and Objective-C are the highest paid, earning salaries of $110,000 to $115,000. Developers working with F# have the highest salaries worldwide.

The median salary of developers worldwide is $55,000, but the median salary of developers in the US is nearly double at $100,000. Other countries with median salaries above $90,000 include Switzerland and Israel, while programmers in the UK and Germany earn on average just over $60,000.

Stack Overflow took on board criticism of how last year’s survey approached women and other minorities who use the site. This report doesn’t include last year’s chapter on the ‘Female Developer Age’ or questions such as whether developers prefer Star Wars or Star Trek, or identify as ninjas, rockstars, or gurus.

Over 92 percent of this year’s respondents are men but Stack Overflow says nine percent of US respondents to the 2018 survey are women. Worldwide just 6.8 percent of respondents are women, marking a one percent drop on last year’s survey.
“We had survey participation at almost the rate we would expect from our traffic. In regions including the US, India, and the UK, women are represented at higher levels among students than among professional developers,” Stack Overflow says.

The survey also looked at the representation of women and men in different developer roles.

Stack Overflow finds that women have the highest representation as academics, QA developers, data scientists, and designers. System admins and DevOps specialists are 25 to 30 times more likely to be men than women.

Microsoft languages seem to be hitting the right note with coders across ops, data science, and app development.

Which programming language do coders hate most?

Developers cast their votes on most and least favourite languages.

These five programming languages have flaws that expose apps to attack

Securely-developed apps may be at risk due to security issues in popular interpreted programming languages.

7 programming languages that every developer should learn in 2018 (TechRepublic)

Certain coding languages are more likely to net you a developer job than others.

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Credits : Technotification

 

While C and C++ are still considered to be a holy grail of the programming languages, new and in-demand programming languages, frameworks have risen to fame. Developers need to upgrade their skills constantly to keep up with the current market. There are the many ways to know the popularity of a programming language but we think that Indeed.com is the best source to know about developer trends.

Indeed.com has compiled a list of programming languages that are going to be extensively used in 2018.

Highly Demanded Programming Languages in 2018
1. Java
The job postings for Java Developers have reduced significantly compared to 2017 but the language is extremely well established. The continued support from Oracle is keeping the language in Loop. Furthermore, Java is still being used in billions of devices worldwide and is currently able to run on the most of the Hardware platforms. 90% of the fortune’s top 500 companies are using Java as the server-side programming language. Check: Five Reasons: Why Java is one of the best programming Languages
2.Python
Python has grown its popularity on a great scale over the past two years because of the Machine Learning. Most of the standard open source ML Frameworks are written in Python which placed the language in second place. The popularity of Python mostly come from the field of Data Mining and Artificial Intelligence. Check: 5 Best Programming Languages for Artificial Intelligence Systems

3. JavaScript
We all know that the JavaScript is being used everywhere these days. It is being used by more than 80% of the developers and 95% of the websites on the Internet. Facebook and Google are also backing JavaScript with their own frameworks and libraries such as ReactJS and Angular Frameworks. With Node.js it’s being used for Back-end programming as well. Tensorflow, The AI development library is also created on the top of Javascript. We also think that JavaScript’s popularity won’t drop any sooner. Check: Top 5 Best Modern JavaScript Frameworks for Web and App Development
4.C++
C++ is an old school programming language yet it is used by many developers worldwide. C++ is the extension of the C Programming language. It is primarily used in Game Development, Embedded Firmware. Many programmers find C++ hard to learn compared to Python or other loosely typed programming languages. Check: C vs C++ : Which Programming language is better?

5.C#
Pronounced as “C Sharp” went down in demand from the previous year. The Programming language was designed by Microsoft as an Object Oriented Programming language to make the development of Microsoft Apps easier. C# can also be used for Game Development e.g. Unity Engine uses C# for it Engine. So if you are aspiring video game developer, C# is the programming language to look out for. Check: Top 10 Programming Languages Used By Coders On Github

6.PHP
PHP is a Recursive acronym for HyperText Preprocessor which is primarily used as a server-side scripting language. Most of the Developers use PHP as a backend server-side programming language to interact with the database. Check: PHP vs Python : Which one is the Best Server-Side Programming?

These are the well established and old programming languages. So, it’s obvious that they will remain in high-demand because major applications still use them. For new applications, here’s the list of 6 New Programming Languages you should get to know. Let’s discuss some of them.

Swift
Swift is was designed by Apple for iOS and Mac Apps. The programming language was released at WWDC 2014. While most of the iOS apps are powered by Objective-C, we think that Swift will Replace Objective-C very soon because of its ease of use and features.

Rust
Rust is termed as the most loved programming language in 2018 at StackOverflow Developer Trends. It is currently growing steadily as the programming language supports a lot of features and also offers speed since it a compiled programming language. Check: 5 Best Open Source Frameworks For Developers and Programmers

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Credits : Searchsqlserver.techtarget

Microsoft SQL Server is a relational database management system, or RDBMS, that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments. It’s one of the three market-leading database technologies, along with Oracle Database and IBM’s DB2.

Like other RDBMS software, Microsoft SQL Server is built on top of SQL, a standardized programming language that database administrators (DBAs) and other IT professionals use to manage databases and query the data they contain. SQL Server is tied to Transact-SQL (T-SQL), an implementation of SQL from Microsoft that adds a set of proprietary programming extensions to the standard language.

The original SQL Server code was developed in the 1980s by the former Sybase Inc., which is now owned by SAP. Sybase initially built the software to run on Unix systems and minicomputer platforms. It, Microsoft and Ashton-Tate Corp., then the leading vendor of PC databases, teamed up to produce the first version of what became Microsoft SQL Server, designed for the OS/2 operating system and released in 1989.

Ashton-Tate stepped away after that, but Microsoft and Sybase continued their partnership until 1994, when Microsoft took over all development and marketing of SQL Server for its own operating systems. The year before, with the Sybase relationship starting to unravel, Microsoft had also made the software available on the newly released Windows NT after modifying the 16-bit OS/2 code base to create a 32-bit implementation with added features; it focused on the Windows code going forward. In 1996, Sybase renamed its version Adaptive Server Enterprise, leaving the SQL Server name to Microsoft.

Versions of SQL Server
Between 1995 and 2016, Microsoft released 10 versions of SQL Server. Early versions were aimed primarily at departmental and workgroup applications, but Microsoft expanded SQL Server’s capabilities in subsequent ones, turning it into an enterprise-class relational DBMS that could compete with Oracle Database, DB2 and other rival platforms for high-end database uses. Over the years, Microsoft has also incorporated various data management and data analytics tools into SQL Server, as well as functionality to support new technologies that emerged, including the web, cloud computing and mobile devices.

Microsoft SQL Server 2016, which became generally available in June 2016, was developed as part of a “mobile first, cloud first” technology strategy adopted by Microsoft two years earlier. Among other things, SQL Server 2016 added new features for performance tuning, real-time operational analytics, and data visualization and reporting on mobile devices, plus hybrid cloud support that lets DBAs run databases on a combination of on-premises systems and public cloud services to reduce IT costs. For example, a SQL Server Stretch Database technology moves infrequently accessed data from on-premises storage devices to the Microsoft Azure cloud, while keeping the data available for querying, if needed.
SQL Server 2016 also increased support for big data analytics and other advanced analytics applications through SQL Server R Services, which enables the DBMS to run analytics applications written in the open source R programming language, and PolyBase, a technology that lets SQL Server users access data stored in Hadoop clusters or Azure blob storage for analysis. In addition, SQL Server 2016 was the first version of the DBMS to run exclusively on 64-bit servers based on x64 microprocessors.

Prior versions included SQL Server 2005, SQL Server 2008 and SQL Server 2008 R2, which was considered a major release despite the follow-up sound of its name. Next to come were SQL Server 2012 and SQL Server 2014. SQL Server 2012 offered new features, such as columnstore indexes, which can be used to store data in a column-based format for data warehousing and analytics applications, and AlwaysOn Availability Groups, a high availability and disaster recovery technology. (Editor’s note: Microsoft changed the spelling of the latter’s name to Always On when it released SQL Server 2016.)

SQL Server 2014 added In-Memory OLTP, which lets users run online transaction processing (OLTP) applications against data stored in memory-optimized tables instead of standard disk-based ones. Another new feature in SQL Server 2014 was the buffer pool extension, which integrates SQL Server’s buffer pool memory cache with a solid-state drive — another feature designed to boost I/O throughput by offloading data from conventional hard disks.

Microsoft SQL Server ran exclusively on Windows for more than 20 years. But, in 2016, Microsoft said it planned to also make the DBMS available on Linux, starting with a new version released as a community technology preview that November and initially dubbed SQL Server vNext; later, it was formally named SQL Server 2017 and scheduled for general availability in the summer of 2017.

The support for running SQL Server on Linux moved it onto an open source operating system commonly found in enterprises, giving Microsoft potential inroads with customers that don’t use Windows or have mixed server environments. In addition, it added the ability to run SQL Server in Docker containers, a virtualization technology that isolates applications from each other on a shared operating system.

Another notable feature in SQL Server 2017 is support for the Python programming language, an open source language that is widely used in analytics applications. With its addition, SQL Server R Services was renamed Machine Learning Services (In-Database) and expanded to run both R and Python applications. Initially, it and a variety of other features are only available in the Windows version of the database software, with a more limited feature set supported on Linux.

Inside SQL Server’s architecture
Like other RDBMS technologies, SQL Server is primarily built around a row-based table structure that connects related data elements in different tables to one another, avoiding the need to redundantly store data in multiple places within a database. The relational model also provides referential integrity and other integrity constraints to maintain data accuracy; those checks are part of a broader adherence to the principles of atomicity, consistency, isolation and durability — collectively known as the ACID properties and designed to guarantee that database transactions are processed reliably.
The core component of Microsoft SQL Server is the SQL Server Database Engine, which controls data storage, processing and security. It includes a relational engine that processes commands and queries, and a storage engine that manages database files, tables, pages, indexes, data buffers and transactions. Stored procedures, triggers, views and other database objects are also created and executed by the Database Engine.

Sitting beneath the Database Engine is the SQL Server Operating System, or SQLOS; it handles lower-level functions, such as memory and I/O management, job scheduling and locking of data to avoid conflicting updates. A network interface layer sits above the Database Engine and uses Microsoft’s Tabular Data Stream protocol to facilitate request and response interactions with database servers. And at the user level, SQL Server DBAs and developers write T-SQL statements to build and modify database structures, manipulate data, implement security protections and back up databases, among other tasks.

SQL Server services, tools and editions
Microsoft also bundles a variety of data management, business intelligence (BI) and analytics tools with SQL Server. In addition to the R Services and now Machine Learning Services technology that first appeared in SQL Server 2016, the data analysis offerings include SQL Server Analysis Services, an analytical engine that processes data for use in BI and data visualization applications, and SQL Server Reporting Services, which supports the creation and delivery of BI reports.

On the data management side, Microsoft SQL Server includes SQL Server Integration Services, SQL Server Data Quality Services and SQL Server Master Data Services. Also bundled with the DBMS are two sets of tools for DBAs and developers: SQL Server Data Tools, for use in developing databases, and SQL Server Management Studio, for use in deploying, monitoring and managing databases.

Microsoft offers SQL Server in four primary editions that provide different levels of the bundled services. Two are available free of charge: a full-featured Developer edition for use in database development and testing, and an Express edition that can be used to run small databases with up to 10 GB of disk storage capacity. For larger applications, Microsoft sells an Enterprise edition that includes all of SQL Server’s features, as well as a Standard one with a partial feature set and limits on the number of processor cores and memory sizes that users can configure in their database servers.

However, when SQL Server 2016 Service Pack 1 (SP1) was released in late 2016, Microsoft made some of the features previously limited to the Enterprise edition available as part of the Standard and Express ones. That included In-Memory OLTP, PolyBase, columnstore indexes, and partitioning, data compression and change data capture capabilities for data warehouses, as well as several security features. In addition, the company implemented a consistent programming model across the different editions with SQL Server 2016 SP1, making it easier to scale up applications from one edition to another.

Security features in SQL Server
The advanced security features supported in all editions of Microsoft SQL Server starting with SQL Server 2016 SP1 include three technologies added to the 2016 release: Always Encrypted, which lets user update encrypted data without having to decrypt it first; row-level security, which enables data access to be controlled at the row level in database tables; and dynamic data masking, which automatically hides elements of sensitive data from users without full access privileges.
Other notable SQL Server security features include transparent data encryption, which encrypts data files in databases, and fine-grained auditing, which collects detailed information on database usage for reporting on regulatory compliance. Microsoft also supports the Transport Layer Security protocol for securing communications between SQL Server clients and database servers.

Most of those tools and the other features in Microsoft SQL Server are also supported in Azure SQL Database, a cloud database service built on the SQL Server Database Engine. Alternatively, users can run SQL Server directly on Azure, via a technology called SQL Server on Azure Virtual Machines; it configures the DBMS in Windows Server virtual machines running on Azure. The VM offering is optimized for migrating or extending on-premises SQL Server applications to the cloud, while Azure SQL Database is designed for use in new cloud-based applications.

In the cloud, Microsoft also offers Azure SQL Data Warehouse, a data warehousing service based on a massively parallel processing (MPP) implementation of SQL Server. The MPP version, originally a stand-alone product called SQL Server Parallel Data Warehouse, is also available for on-premises uses as part of the Microsoft Analytics Platform System, which combines it with PolyBase and other big data technologies.

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Credits : Zdnet

 

Stack Overflow has released the results of its annual survey of 100,000 developers, revealing the most-popular, top-earning, and preferred programming languages.

The most-loved languages are Kotlin and Mozilla-developed Rust, according to Stack Overflow’s 2018 developer survey.

This was the first time developer community and jobs site Stack Overflow asked coders about the Java-friendly Kotlin, probably because Google gave it full support in the Android Studio integrated development environment last year.

Developer analyst firm RedMonk this week noted Kotlin is the second-fastest growing language after Apple’s Swift for iOS and macOS app development.

Other preferred languages include Python, Microsoft’s TypeScript, Google’s Go, Swift, JavaScript, C#, F#, and Clojure.

Among the most-loathed languages are Visual Basic 6, Cobol, CoffeeScript, VB.NET, and VBA.

However, JavaScript takes top spot as the most-popular programming, scripting, and markup language. It is followed by HTML, CSS, SQL, Java, Bash/Shell, Python, C#, and PHP. Python is one of the fastest-growing languages, according to Stack Overflow.

Microsoft’s Visual Studio Code is the overall most-popular development environment, while the most-loved platform is Linux. Google’s TensorFlow is also a popular tool.

The survey asked developers about their attitudes to the future of artificial intelligence and finds 73 percent are more excited about its possibilities than concerned by its dangers.

Only a quarter of respondents agree with Tesla CEO Elon Musk’s view that government should regulate AI. Musk this week said the cutting edge AI he sees “scares the hell out of me”.

Developers in the US working with Erlan, Scala, Ocaml, Clojure, Go, Groovy, and Objective-C are the highest paid, earning salaries of $110,000 to $115,000. Developers working with F# have the highest salaries worldwide.

The median salary of developers worldwide is $55,000, but the median salary of developers in the US is nearly double at $100,000. Other countries with median salaries above $90,000 include Switzerland and Israel, while programmers in the UK and Germany earn on average just over $60,000.

Stack Overflow took on board criticism of how last year’s survey approached women and other minorities who use the site. This report doesn’t include last year’s chapter on the ‘Female Developer Age’ or questions such as whether developers prefer Star Wars or Star Trek, or identify as ninjas, rockstars, or gurus.

Over 92 percent of this year’s respondents are men but Stack Overflow says nine percent of US respondents to the 2018 survey are women. Worldwide just 6.8 percent of respondents are women, marking a one percent drop on last year’s survey.

“We had survey participation at almost the rate we would expect from our traffic. In regions including the US, India, and the UK, women are represented at higher levels among students than among professional developers,” Stack Overflow says.

The survey also looked at the representation of women and men in different developer roles.

Stack Overflow finds that women have the highest representation as academics, QA developers, data scientists, and designers. System admins and DevOps specialists are 25 to 30 times more likely to be men than women.

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Credits : Indiatoday

 

A  B.Tech in Computer Science from KIET, Ghaziabad, had her semester break and she was keen to learn a new skill. However, she was also desperate to get back home as soon as possible. Quite a conundrum! Wasn’t it?

Luckily, she shared this with her senior who recommended her online training. She had qualms but got herself enrolled in an Android training. She had never been acquainted with Java before, but the content of the training suggested that it was perfect for a beginner like her.

By the end of the training, she had made Calculator and Notepad apps as assignments. After her college started, she also got an opportunity to test the practical applications of her learning.

She created a ‘Mutual Book-Sharing’ app for a contest during her college’s technical fest and within a year, she also created an app, Uddeshya, for the social welfare group of her college. Now, she is planning to pursue a career as an app developer.

Everyone wishes to acquire new skills but more often than not, it becomes a task to choose the right one. It goes without saying that one must go for the field she is passionate about, but to provide you with some guidance here is a list of some of the popular training programmes you might want to do while you enjoy home-cooked food during the vacations.

HERE ARE SIX THINGS YOU CAN LEARN ON YOUR POST-EXAM BREAK:

1. WEB DEVELOPMENT

This training programme will involve working in fields of HTML, CSS, Bootstrap, PHP, and MySQL. It is a perfect course for you to learn how to create a website from scratch. This course will help you understand the UI/UX (user interface and user experience) of a website and with start-ups booming more than ever, there are myriads of opportunities to hone your skills while earning.

2. ANDROID

This programme will help you learn how to create an android app along with various in-app features. You will learn XML for front-end development and Kotlin language for back-end development. This would provide you with the skills to develop an app that will work seamlessly across different Android devices.

3. CORE JAVA

This training will cover the basic concepts of Java and Object-Oriented Programming such as arrays, methods, and inheritance, polymorphism, classes etc. You will get to learn about Java FX and develop games using the same concepts.

4. PROGRAMMING WITH C AND C++

This training will help you learn C++ and C language basics, techniques of integrating function sets, generic application development and general method of the architecture of business solutions. This will be a perfect guide for you to create software using C++.

5. AUTOCAD

This training will help you understand computer-aided drafting and design using AutoCAD. The learning from this will help you work on various civil or architectural related projects in the future.

6. PYTHON

This training covers the essential concepts on the building blocks of Python, object-oriented programming, the use of SQLite database and development of GUIs for Python applications.

These trainings can be pursued without having any prior experience. The only pre-requisite is hard work and perseverance and the learning and experience gained from it will help you in getting a job or an internship.

The post-exam break is a great time to utilize the hours to build up your skill-base and garnish your resume. Even if your inhibitions stop yourself from taking the plunge, have faith and embark on this journey of self-discovery and we’re sure it will a great stepping stone to your career.

– Article by Internshala Trainings

 

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