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10 big data trends you need to know for 2022

Sarah Dow by Sarah Dow
February 5, 2022

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Application & OS News

Rick Whiting

February 5, 2022, 10:00 AM EST

From predictive analytics and data fabric architectures to data observability and data governance software, here are 10 big data trends and technologies solutions and service providers need to be aware of in the new year.





big development of big data

Business reporting and data analytics have long been used on a tactical basis by businesses and organizations to answer questions such as “How were sales in Wisconsin in 2021?” However, in recent years, the management and analysis of big data has become more strategic, driven by digital transformation initiatives, efforts to leverage data for competitive advantage, and even a move towards monetizing data assets. It is

Due to the COVID-19 pandemic and the resulting economic disruption, businesses are recognizing the need to make better use of data for tasks such as managing supply chains and retaining employees. And the wave of headline-grabbing cybersecurity incidents has reaffirmed the importance of strengthening data governance operations.

All of this is changing the way businesses collect, manage, use and analyze growing amounts of data. Let’s take a look at the 10 big data trends channels should watch in 2022.

Analyze data across multiple clouds

Companies and organizations are increasingly storing data in cloud platforms such as Amazon Web Services, Snowflake, and Microsoft Azure, and even creating networks that distribute data storage across multiple clouds. But business analytics efforts can be difficult when data is spread across on-premises and multi-cloud platforms.

2022 will see increased use of new software tools such as Alluxio Data Orchestration Platform, Qlik Forts, and Starburst Galaxy to provide a unified view of data distributed across multiple on-premises and cloud systems, and access that data from anywhere It will be Resident – for data analysis tasks.

Capturing a virtual view of distributed data and making it accessible using everyday business intelligence tools replaces traditional data warehouses where data is collected from multiple sources and managed in a central location. It is gaining increasing attention as a viable method.

    Learn about Rick Whiting

Rick Whiting

Rick Whiting has been with CRN since 2006 and is currently the Feature/Special Projects Editor. Whiting manages many of CRN’s flagship annual editorial projects, including Channel Chiefs, Partner Program Guide, Big Data 100, Emerging Vendors, Tech Innovators, and Products of the Year. He also covers CRN’s Big Data his beats. He can be contacted at rwhiting@thechannelcompany.com.


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