Big data software will witness substantial changes to keep with the growing industry

June 30, 2021

Big data software will witness substantial changes to keep with the growing industry

1. The Power of Cloud Solutions

AI and IoT are enabling faster data generation which is a benefit for businesses if they work wisely. Applications that are concerned with IoT will need scalable cloud-based solutions to manage the ever-growing volume of data. Hadoop on Cloud is already being adopted by many organizations and the rest should follow this lead to maintain their edge in the market.

2. A Big Shift within Traditional Databases

RDBMS systems were the preferred choices when structured data occupied the major portion of data production. But as the world is evolving, we are all producing unstructured data by using IoT, social media, sensors, etc. This is where NO-SQL databases come into action. This is already becoming a common choice in today’s business environments and the trend will only grow. NO-SQL databases like MongoDB and Cassandra will be adopted by more vendors and graph databases like Neo4j will see more attraction.

3. Hadoop will Stay with New Features

One of the most popular big data technologies, Hadoop, will come with advanced features to take on the enterprise-level lead. Right when Hadoop’s security projects like Sentry and Rhino will become stable, Hadoop will become flexible enough to work in more sectors and companies can leverage its capabilities without any security concerns.

4. Real-time Speed will Determine Performance

At this point, organizations have the data sources and the ability to store and process big data. The real factor that will determine their performance is going to be the speed at which they can deliver analytics solutions. The processing capabilities of big data technologies like Spark, Storm, Kafka, etc. are being fine-tuned with the speed in mind and companies will soon advance using this real-time feature.

5. Simplicity will Make Tasks Effortless

Big data technologies that will simplify the processes such as data cleaning, data preparation, and data exploration will see an increase in adoption. Such tools will minimize the effort put in by the end-users and companies can take advantage of these self-service solutions. In this race, Informatica has already shown innovation.