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10 Big Data Trends You Should Know About For 2022
Rick Whiting
From predictive analytics and data fabric architecture to data observability and data governance software, here’s a look at 10 big data trends and technologies that solution and service providers need to be aware of in the new year.
Increased Use Of DataSecOps Technologies
As a corollary to the need for better data governance, businesses and organizations will also increasingly turn to DataSecOps software from vendors such as Immuta and Satori to ensure data protection and data privacy policies are being followed.
The need for DataSecOps tools is being driven by the increasing distribution of data across data fabric and data mesh architectures, noted Satori founder and CEO Eldad Chai, in an email. More sensitive personal data is migrating to the cloud for analytical and machine learning tasks, he notes, and “over-privileged” employees at startups in financial and healthcare technologies have broad access to customer data. And attackers are increasingly targeting data held by analytics and AI service providers, he said.
“As data volumes grow and usage expands, it has become impossible to control who has access to what data, ensure proper compliance, and enable safe data sharing,” said Matt Carroll, CEO of Immuta, a Boston-based developer of universal cloud data access control software, in an email. “Without automatic data access control, organizations have no way of monitoring who is accessing what data, when, and for what purpose, jeopardizing the data’s security and privacy.”
