Why is Big Data Analytics the Key to Stay Ahead of Competition?

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No matter what type your business is, data analysis always plays a vital role in providing you a competitive edge and bring innovation in the way you do your business. Collating data to discover new business opportunities and meet customer expectations is not something very new, dating back to the decade of 70s. However, what has significantly changed since then is the amount of data growing everyday, its diversity and analytics techniques to make sense out of it.

The term Big Data was coined considering the abundance of data that exists today in structured, semi-structured and unstructured form. According to a new report from IBM Marketing Cloud, 90% of data that exists today was created in the last two years alone. The report further adds that nearly 2.5 quintillion bytes of data is created every day from numerous sources, like social media sites, business apps, public web, sensors connected to Internet of Things, etc…Read More

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Top 10 Programming Languages of 2017 So Far

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We are almost halfway through 2017, and it’s always exciting for web developers to know which programming languages have been the best picks lately in the programming world. In this blog, I am unveiling 10 most preferred languages in 2017 so far. Please note that the top 10 languages I am going to list below are strictly based on GitHub’s recent data and TIOBE Index for June 2017 – the most credible sources to track the popularity of programming languages.

Let’s Begin!!!

Java

Java, an open-source language that’s been around since the 1990’s, allows developers to “write once, run anywhere”. So, you can run compiled Java code on all platforms without having to recompile. Java is the product of Oracle corporation and is widely used for creating server-side applications, video games, mobile applications and smart TV applications. Since both large and small businesses use applications written in Java, this language is high in demand and ranked among the top ones by Tiobe Index and Github.

Java is also used by most Android app developers. Some top Android app examples of Java are Temple Run, Candy Crush Saga and Angry Birds. It doesn’t end here as Java is also used everyday by many airlines, government agencies and Fortune 500 companies.

Java’s Growth in 2016: 63%

Python

First released in 1991, Python is a widely used open-source, high-level, general-purpose and dynamic programming language. Python has witnessed most of its growth in the past five years (7.0%). Python is popular among developers for readability and easy learning. Whitespace indentation in Python allows developers to delimit code blocks without using curly brackets or keywords, which emphasizes code readability. If you are new to programming, you can pick Python as it is one of the most beginner-friendly programming languages.

Some of the top applications that have been built using Python are YouTube, Reddit and Instagram. You can also use Python for scientific computing, web development and 3D rendering.

Python’s Growth in 2017: 54%

Click here to learn why Django is the best Framework for Python

PHP

PHP is also an open-source and very popular programming language used for server side scripting. Although PHP was primarily designed for web development, it’s also used as a general-purpose programming language. PHP first came out in 1994 and originally stood for personal home page. It’s now taken as the abbreviation for Hypertext Preprocessor. Since PHP has a low learning curve, new programmers can also develop web applications in quick time.

PHP powers more than two hundred million websites, including the popular ones like Yahoo, Facebook and WordPress. Developers can easily deploy PHP on most web servers on almost every operating system and platform.

PHP’s Growth in 2016: 43%…….

Read More- Top 10 Programming Languages of 2017 So Far

New Features and Fixes May 30 Release of Node.js 8.0 brings for Developers

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The long wait for Node.js Version 8.0 release finally ended on May 30 (12 PM PST), after a delay of almost a month. The new Node.js release brings a lot of new features and fixes for developers in order to significantly improve debugging and developer workflow. Carbon is the codename of the new Node.js release, which removes version 7 from the Node.js current release line. Node.js Version 8.0 will also become the current LTS version from October 2017 and will be maintained till December 31, 2019. Read this blog to gain insight into why this release of Node.js is big for Node.js users.

Important Features of Node.js Version 8.0 Release

TurboFan & Ignition

The introduction of TurboFan and Ignition is the the biggest change Node.js users will see in the latest release. TurboFan is the optimizing compiler and Ignition is V8’s interpreter. Daniel Clifford and the V8 team say, “The combined Ignition and TurboFan pipeline has been in development for almost 3½ years. It represents the culmination of the collective insight that the V8 team has gleaned from measuring real-world JavaScript performance and carefully considering the shortcomings of Full-codegen and Crankshaft. It is a foundation with which we will be able to continue to optimize the entirety of the JavaScript language for years to come.”

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The addition of V8 5.8 in the latest release is another advantage for developers. V8 5.9 is also scheduled to be released in early June.

Note: V8 5.8 is ABI (Application Binary Interface ) compatible to 5.9.

Node.js 8.0 Comes With npm 5

With Node.js 8.0, users will also get access to npm 5.0.0, which will save by default now. In npm 5, package-lock.json will be automatically created unless an npm-shrinkwrap.json exists. Besides, when there is no internet connectivity, there’s no need to retry network requests. Another important change is that npm 5 will install the packages from the latest registry you have switched to. For example, if you generated your package lock against registry A, and switch to Registry B, npm will pick Registry B to install the packages, not Registry A.

Click here to check out highlights of the new npm release

Node.js API (N-API)

The Node Foundation says that Node.js API (N-API) will be added in the new release as an experimental feature. The top reason behind adding N-API in the Node.js 8.0 is to ensure that addons are not influenced by changes in the underlying JavaScript engine. As a result, there will be no hassle of recompilation while running native add-ons with different Node.js versions. Not only this, native addons can also work with Microsoft’s Chakra-Core runtime as well.

The New URL Implementation

With Node.js 8.0, the WHATWG URL implementation is now a fully supported, non-experimental API within Node.js. The advantage of the new URL implementation is that it matches the URL implementation and API available in modern Web Browsers like Chrome, Firefox, Edge, and Safari. So, code consisting of URLs can be easily shared across environments…Read More- New Features and Fixes May 30 Release of Node.js 8.0 brings for Developers

Why to Use HTML5 and CSS3 for Your Business?

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HTML, an abbreviation of Hyper Text Markup Language, first came into existence in late 80s to help describe a document’s structure and to allow cross-linking of documents. HTML has evolved multiple times since then, and many developers worldwide use it to provide better, faster, more consistent user experiences for desktop and mobile visitors. HTML now enjoys the close association with two allies – CSS and JavaScript. CSS enhances the appearance of HTML by describing the way the document is supposed to look. JavaScript, on the other hand, makes HTML more interactive. However, in this blog we will focus on the benefits of using the latest versions of HTML standard and CSS for business purpose.

As more and more people now prefer smartphones or tablets over PCs to surf the internet, mobile friendly sites with good user experience have become the need of the hour. Paying heed to the current demands of rich media, cross device and mobile internet access requirements, the World Wide Web Consortium (W3C) in October 2014 published HTML 5, the fifth and the latest version of the HTML standard.

A Brief Introduction to HTML5

One of the biggest differences between HTML5 and previous versions of the HTML standard is that it provides one common interface to load elements in multiple browsers. Since the older versions of HTML require proprietary plugins and APIs, a web page that was built and tested in one browser may not load correctly in another browser. But same is not the case with HTML5, which completely obviates the need of installing a Flash plugin by allowing the element to run by itself.

HTML5 was designed keeping in mind cross-platform mobile application development. Besides, new syntactic features in HTML5, like video, audio and canvas tags, were specifically introduced to support multimedia on mobile devices. Offline storage is also one of the virtues of HTML5…read full blog here- Why to Use HTML5 and CSS3 for Your Business?

Python Development: 7 Libraries to Look For in 2017

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Django continues to be the pick of libraries for Python developers. However, there are some not-so-well-known libraries that happened to gain traction among Python developers in 2016. In this blog, I am unveiling 7 Python libraries, excluding the established ones like Django, Flask, etc, that Python developers may find worth considering in 2017.

10 Less-Known-Yet-Helpful Python Libraries for 2017

#1 Arrow

Mobile apps are everywhere, and are often meant for global population – be it for games, social media, health monitoring and whatnot. However, the problem with the standard data/time library for Python is that it doesn’t meet the requirements of modern apps that have their target audience living in different regions and countries. Arrow is one of the libraries to battle with this problem. It comes packed with features that simplify creation, formatting, manipulation and conversion of data, time and time stamps.

The library replaces the need for datetime type that supports Python 2 or 3. With Arrow, developers can convert one time zone to another at ease. Besides, Arrow’s date, time and calendar modules open gates to hassle-free internationalization of applications…Read full  blog post here- Python Development: 7 Libraries to Look For in 2017

Apache Hadoop vs Apache Spark: Two Popular Big Data Frameworks Compared

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The term Big Data has created a lot of hype already in the business world. Chief managers know that their marketing strategies are most likely to yield successful results when planned around big data analytics. For simple reasons, use of big data analytics helps improve business intelligence, boost lead generation efforts, provide personalized experiences to customers and turn them into loyal ones. However, it’s a challenging task to make sense of vast amounts of data that exists in multi-structured formats like images, videos, weblogs, sensor data, etc.

In order to store, process and analyze terabytes and even petabytes of such information, one needs to put into use big data frameworks. In this blog, I am offering an insight and analogy between two such very popular big data technologies – Apache Hadoop and Apache Spark.

Let’s First Understand What Hadoop and Spark are?

Hadoop: Hadoop, an Apache.org. Project, was the first big data framework to become popular in the open source community. Being both a software library and a big data framework, Hadoop paves the way for distributed storage and processing of large datasets across computer clusters using simple programming models. Hadoop is a framework composed of modules that allow automated handling of common hardware failure occurrences…read full blog here- Apache Hadoop vs Apache Spark: Two Popular Big Data Frameworks Compared

7 Tools for Successful Big Data Analytics

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Data collection and analytics have always been crucial to chief business managers’ capability of making right business decisions. But unlike past, databases now have data with high volume, velocity, and veracity. Going by a big data infographic contributed by Ben Walker of Voucher Cloud in 2015, around 2.5 quintillion Bytes of data is created every day. The amount is good enough to fill 10 million Blu-ray discs.

Given the gigantic amount of data existing in databases nowadays, data industry coined a new term for it – Big Data. Big Data is basically large volumes of information present in databases in structured, semi-structured and unstructured form.

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A lot of hype has already been created around big data as its analysis opens new avenues for business managers to boost sales by targeting or retargeting right customers. Big data analytics helps understand what customers want to buy and what they don’t like about your products or services…you can read full blog here- 7 Tools for Successful Big Data Analytics