Importance of MVP in Mobile App Development

Importance of MVP in Mobile App Development

According to the Statistics Portal, Google Play Store allows Android users to choose from over 2.1 million apps, whereas the Apple App Store allows iOS users to choose from almost 2 million available apps. Each enterprise needs to focus on building a unique product to make the mobile app...

How Big Data is changing the Healthcare Industry?

How Big Data is changing the Healthcare Industry?

According to Deloitte.com, “Global health care expenditures are expected to continue to rise as spending is projected to increase at an annual rate of 5.4 percent between 2017-2022, from USD $7.724 trillion to USD $10.059 trillion.” The growth of the healthcare industry will be driven by a myriad of...

Important NodeJS Frameworks for Web Developers

Important NodeJS Frameworks for Web Developers

As an open source and cross-platform runtime environment, NodeJS enables web application developers to execute JavaScript code on the server-side. Many developers these days leverage Node.js to simplify web application development and maintenance by writing both client-side and server-side code in JavaScript. NodeJS helps developers to boost the web...

Golang vs. Python

Golang vs. Python

According to TIOBE.com , “Python has now definitely become part of the big programming languages. For almost 20 years, C, C++ and Java are consistently in the top 3, far ahead of the rest of the pack. Python is joining these 3 languages now. It is the most...

The State of Java in 2019

The State of Java in 2019

According to TIOBE Programming Community Index for January 2019, Java is currently more popular than other widely used programming languages including Python, C, C++, Visual Basic .NET, C# and JavaScript. Also, for almost 20 years, C, C++ and Java are consistently in the top 3, far ahead...

What is Azure HDInsight?

What is Azure HDInsight?

As a fast and scalable framework, Apache Hadoop makes it easier for data scientists to store, process, and analyze very large volumes of data. Many data scientists use Hadoop for offline or batch processing. They can further accelerate big data analysis by scaling up the framework by adding nodes...