The volume and velocity of data has grown exponentially in the last two years as a direct result of the pandemic shifting the working world to be almost entirely digital. While this increase in data should present new opportunities for organizations, current infrastructures make retaining and analyzing vast amounts of data at scale challenging. That, coupled with the growing data scientist shortage, is leaving enterprises unable to derive truly valuable insights that power business decisions.
Key findings of the survey indicate:
“Relying on manual data analysis methodologies is going to be one of the biggest hindrances to an organization’s ability to succeed in 2022,” said Thomas Hazel, Founder, CTO, and Chief Scientist, ChaosSearch. “Our research supports that by showcasing the challenges many IT teams are facing—and the limitations they experience with tools that aren’t able to scale with the amount of data being produced today. Without an easy, cost-effective, and reliable way to access and analyze all of the data at your disposal, your business is at risk.”
To learn more, visit www.chaossearch.io/blog/data-lake-research.
ChaosSearch commissioned a survey of 1,020 U.S. IT professionals in firms with 500+ employees. The survey was fielded from September 28 to October 19, 2021.
ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity.
ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.
The Boston-based company raised $40M Series B in December 2020 and is hiring to support its hyper growth. For more information, visit ChaosSearch.io or follow us on Twitter @ChaosSearch and LinkedIn.
V2 Communications for ChaosSearch