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2024 State of Big Data Analytics
By SQream, 8.6.2024
Survey Report, June 2024: Constant Compromising Is Leading to Suboptimal Results
The rapid growth in generative AI over the past couple of years has resulted in the need to analyze massive (and growing) volumes of data. As a company that provides enterprises with critical business intelligence from massive data stores, we were keen to explore how this rapid growth in GenAI has impacted big data analytics in 2024.
The aim of this survey was therefore to better understand the connection between the cost of analytics and the results of analytics (cost-performance), to identify the primary pain points and challenges currently facing those who work in the analytics space, and to discover the methods organizations are using to address these challenges.
The report is aimed at team leaders, CIOs, heads of data and other data-oriented professionals in large to very large organizations (500+ employees).
Ohad Shalev
SQream Blue
SQream Blue is a cloud-based SQL data lakehouse that empowers organizations to accelerate data processing and queries with a unique multi-level GPU parallelizing technology and patented compression algorithm. Moreover, the solution can allocate available resources to ensure dynamic workloads are handled most efficiently.
