TEL AVIV, Israel, Feb. 9, 2021
TEL AVIV, Israel, Feb. 9, 2021 /PRNewswire/ -- SQream, provider of a data analytics acceleration platform that enables enterprises to gain critical business insights, much faster, from their massive data stores, announced today the release of 'The 2021 Challenges of Massive Data Analytics Report.' The report collected the feedback of hundreds of data professionals from around the world to get a first-hand look at some of the biggest challenges facing data professionals today.
The report, based on a survey done in collaboration with Global Surveyz, focused on uncovering the challenges that companies face when it comes to analyzing their data, especially in light of the fact that the Global Big Data Analytics Market is growing at a CAGR of 12.3% and is expected to reach $105 billion by 2027, according to Gartner.
Among the findings:
"With enterprise data growing at levels never seen before, data professionals are challenged with how to rapidly analyze their data, at scale and while it is still relevant," said Ami Gal, SQream CEO and co-founder. "The 2021 Challenges of Massive Data Analytics Report highlights what data leaders are experiencing both in terms of data growth, budgets and obstacles they are encountering in extracting critical business insights from their data. We believe this report provides invaluable insights that will help in meeting these challenges."
The complete report can be downloaded here.
The full results and an expanded analysis of the report will also be presented in an upcoming webinar, which will take place on Wednesday, February 17th at 11am EST. You can register for the webinar here.
SQream provides enterprises with critical business intelligence from massive data stores. Global enterprises use SQream to analyze more data, faster than ever before, while achieving improved performance, reduced footprint, significant cost savings and the ability to scale the amount of data they analyze to hundreds of terabytes and more. SQream is available both on premise and in the cloud. To learn more, visit sqream.com or follow us on twitter @sqreamtech.