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Tech Trends in the Software Industry

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Tech Trends in the Software Industry

From big data and business intelligence to JavaScript and Python, there are tons of different trends within myriad facets of the software industry today.

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In the software and tech industry, everything goes so fast that you can often feel left behind. Trends change, new methods are used, and you always have to try hard to stay updated. Here’s a short article about a few tech trends in software architecture and development in 2016 and what has had a huge impact on software trends over the past years: data. 


Big Data, Business Intelligence, and Data Mining

Big data implies a large volume of data that a business gets on a daily basis, usually online and in the cloud. The volume is usually extremely large and complex to analyze because it's so raw and unstructured. In the past few years, it has become a word in many people’s mouths as one of the most important tech trends 2016. With the increase of devices we use, the amount of data we have has become incredible. Analyzing it the right way can provide us with huge amounts of useful information, especially for organizations.

As the majority has become conscious of the possibilities that big data can provide us, companies have started storing their data without really knowing what to do with it. We have finally reached the period where we are trying our best to make good use of it through analytics. Here comes what we call business intelligence, or BI.

As mentioned earlier, having a huge amount of data is good, but obviously, analyzing it is the important part. Business intelligence has a wide variety of tools, apps, and methodologies that help in the analysis of the data. It’s a data-driven decision-making. It’s about generating, analyzing, and visualizing data to inform and facilitate business management. Reports, dashboards, and data visualizations help improve the decision-making process of companies. The processes are optimized, the efficiency is improved, and the organization gets a competitive advantage.

So, yes, BI is about making managerial decisions. However, when we talk about analytics, it’s more about asking questions such as, "Are certain products selling better in certain locations?"

What about data mining? It involves finding answers you didn’t even know you were looking for, when you have so much information that it’s difficult to get the conclusions that you want. You often end up skipping a few key points that would be of great help. Data mining is when we go through it all to try and find what has been overlooked. 

Self-Service

Users will increasingly satisfy their own information needs without the help of others or without an analytical background, delivered through interfaces built for that purpose.  

Customizable Visualizations

More tools will create powerful graphics and more reports will be available. It will become a sort of common language in the professional world and will be used to empower people when it comes to insights.

IoT Data

The Internet of Things has just started and is here to stay. More devices will be connected and in almost all industries. This means more data generated and therefore more tools to explore the data and get more insights.


Programming Language Trends

JavaScript (Front-End)

JavaScript is not Java; they actually have very little in common. JavaScript is one of the world’s most popular and powerful programming languages and is often used to make web pages more interactive by adding effects, games, animations, and drop-down menus and providing great control over the web interface. This programming language is great for the front-end. JavaScript is used by 88% of all websites.

C# (Front-End)

This object-oriented programming language was designed by Microsoft for a wide range of enterprise applications that run on the .NET Framework. It’s simple and modern and often used to develop Windows specific applications and websites that will be run on a Windows server. It’s quite new but has been rising slowly.

Java (Back-End)

Java is an open-source language and is considered to be one of the most adopted programming languages worldwide. One of the reasons why it is so popular is its readability and simplicity. It was also designed to be able to run it on any device. It can be used for software development with computers, smartphones, and even smart TVs, and is especially used to develop native Android apps.

SQL (Back-End)

Almost every computer or person that has access to technology will end up touching some SQL. It is used for specific purposes, and if you’re interested in managing a database, you should be interested in learning SQL. 

Python

Python is a simple and easily readable language and is therefore very easy for beginners. Although it’s very easy to learn, it can be used for things such as scientific computing, web development, and 3D rendering.


Framework Trends  

AngularJS

This JavaScript framework is maintained by Google and is used for building powerful web apps. It is open-source and completely free. It is used in Single Page Application projects and extends to HTML DOM, making it more responsive to user actions.

Bootstrap

Bootstrap’s popularity keeps increasing, and it's turning into a web development standard. It’s a front-end development framework and is open-source, therefore free. This beautiful, intuitive, and powerful kit is mostly used for developing responsive, mobile first projects on the web.

React.Js

Quite new, it has become more and more popular. It’s mainly for building user interfaces and is very fast and very practical because it refreshes automatically when there is new data available.


Software Architecture Trends 

Microservices

When we talk about microservice architecture, we are talking about a particular way of designing software applications with services that are independently deployable and much more scalable. Each one runs in its own process, is built around business capabilities, and is independently deployable by fully automated deployment machinery. Each service can be written in different programming languages and use different data storage technologies, meaning that they can also be managed by different teams.

There are many advantages to using this type of architecture:

  • Each microservice is small and easy for the developer to understand.
  • As mentioned before, each service can be deployed independently, so it is easier to deploy new versions of services on a regular base.
  • It is much more scalable. Each service’s management can be assigned to a different team and can be worked on at different times and independently.

Docker

Docker is an open-source platform for developers to use. The idea is to create, deploy, and run applications on laptops, data centers, or on the cloud by using containers. Why is using containers great? Because it enable us to package an app with all the parts that it need and then ship it all as one. This means that the app will run on any Linux machine, even if it has customized settings. Using Docker increases performance and reduces the size of the app.   

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Topics:
software development ,technology ,software industry ,agile development

Published at DZone with permission of Lea Maya Karam. See the original article here.

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