Key Trends Determining the Future of Big Data Technologies

Apac CIO Outlook | Friday, August 20, 2021

To stay up with the booming market, big data software has to undergo significant modifications.

FREMONT, CA: Big data is one of today's most disruptive technologies, reshaping the industrial world. Organizations without big data are useless in today's world of data. Organizations can acquire insights and make better decisions utilizing big data technologies, resulting in a higher return on investment.

The software can analyze, process, and extract information from large amounts of unstructured data to take advantage of this technology. Hadoop, NO-SQL, Spark, Hive, and other big data technologies are recognizable to data professionals. Still, with so many improvements, it's critical to grasp the prospects of big data technology to choose whether one is the appropriate fit for a company.

Let’s see some of Big Data Technology Trends

The Power of Cloud Solutions

When used appropriately, AI and IoT enable speedier data generation, which is beneficial to organizations. However, IoT applications will need scalable cloud-based solutions to manage the continuously increasing volume of data. Many firms may already have implemented Hadoop on Cloud, and the remainder should follow suit to keep their competitive advantage.

A Big Shift within Traditional Databases

When structured data made up the majority of data production, RDBMS systems were the best option. However, as the world changes, designers all produce unstructured data through IoT, social media, sensors, and other means. NO-SQL databases are helpful in this situation. It is already a popular choice in today's corporate world, and it's just going to get more popular.

Hadoop will Stay with New Features

Hadoop is amongst the most popular big data platforms, will be enhanced with enterprise-level capabilities. Hadoop will become versatile enough to work in new sectors, and corporations will exploit its capabilities without any security issues once Hadoop's security projects like Sentry and Rhino become reliable.

Real-time speed will Determine Performance

Organizations now have the data sources and the ability to store and handle large amounts of data. However, the speed with which they can deploy analytics solutions will be the determining element in their success. Big data technologies' processing capabilities, fine-tuned with speed in mind, and businesses will soon be able to make use of this real-time capability.