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Look for These Changes This Year Featured

Look for These Changes This Year Charlie Firth

Unlike two decades ago, big data is no longer just a buzzword but a technology that promises to change many industries. The big data concept has become widespread due to its influence on other sectors and the AI industry's financial growth. As companies and businesses continue gaining strength each year by increasing their data analytics platforms, the industry is expected to be worth more than $100 billion by 2023. According to a survey, an average person is expected to generate more than 1.7 megabytes of data per second this year. Seeing the critical nature of big data in businesses' day-to-day operations makes it crucial to know the possible trends.

Here are the top big data trends that you should expect in 2021:

  • Cloud data will be crucial for customer experiences

Cloud computing is a hot topic that cannot be avoided when talking about big data. As big data continue improving, cloud computing will continue becoming a significant source of data. Users will eventually merge big data with cloud computing. Companies will adopt a modern cloud-native approach to promote the new deployment of cloud in a containerized environment.

  • Chief Data Officers (CDOs) will be in high demand

 The position of CDO is new but is fast gaining fame due to the continued adoption of big data in organizations. With the rising number of big data projects, CDOs are expected to be in high demand in 2021. These data professionals will be required to meet specific requirements to help an organization achieve its data needs.   CDOs are responsible for ensuring the information is accessed by authorized individuals. They will also ensure big data initiatives meet the right integrity thresholds and security.

  • Data marketplaces and exchanges will emerge

According to Gartner, online marketplaces will make 35% of companies either buyers or sellers of data by 2022. This trend will lead to the massive adoption of technologies such as data analytics, artificial intelligence, machine learning, and natural language processing. This is not something new because there are companies such as Acxiom that have been selling data for decades already. However, the new data exchanges will increase the number of companies doing so and competition.

  • Augmented analytics will be mainstreamed

If you are to take advantage of big data in the future, you must familiarize yourself with augmented analytics. With the growing amount of data being generated by various devices each day, handling and interpreting data to make critical decisions will be a significant challenge. Augmented analytics will help solve this problem using machine learning (ML) and artificial intelligence (AI) techniques. ML and AI methods will help automate the preparation, sharing, and analysis of data needed to transform seemingly useless data into usable ones. As AI and ML become increasingly sophisticated, augmented analytics is expected to become mainstream in 2021.

  • IoT and Big data will converge

With the pandemic that affected many businesses in 2020, many companies are looking to turn things around in 2021. IoT and digital devices seem to be a way of achieving this. For example, in healthcare, IoT is combining with other technologies to help in the management of operations. With this rising adoption of IoT devices, big data analytics trends will merge with IoT, which will be crucial in gathering data that will be processed and used in decision-making. Big data analytics is becoming important in breaking down IoT-based data collected from connected devices.

Summing it up, as 2021 begins, we can expect more developments in big data and big data analytics. There will be increased monitoring, oversight, and regulation of the use of data in all sectors. Regardless of these challenges, big data will continue growing. This will affect many businesses, and they look for ways to bolster their business operations and adapt to the changes.

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Scott Koegler

Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief

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