A Constellation Of Data Limitations

Webinar Gone are the days when humans generated information which could be laboriously annotated into a giant book with a sharp quill. The volume of data each of us now produces every day is truly mind-blowing.

And while it no longer makes it onto the shelf of a dusty library, it still has to be stored and accessed somewhere. Likely as not, it will also be instantaneously analysed by somebody, somewhere, for whatever reason.

Hadoop has served as a cheap and efficient storage platform for data analytics for over a decade now, with organizations impressed by its ability store both large volumes and wide variety of different information formats.

Even so, data teams sometimes struggled to make data in HDFS available for enterprise-grade business intelligence and reporting. What businesses required was a solution that could achieve economic value and the flexibility of a data lake platform with the ease-of-use of a data warehouse, powered by all-flash storage technology offering instant insights, best in class price performance, and exabyte scalability.

Fortunately, say Dremio and VAST Data, that solution is here. Join the Register's Tim Phillips on 2 November 3pm GMT/11am EDT/8am PDT in conversation with Scott Saktanaset of Dremio and John Mao of VAST Data about the limitations of data analytics using Hadoop, the advantages of an open data lakehouse and how to replace HDFS with S3 and all-flash storage.

Register here for our "Escaping Hadoop's Walled Garden with VAST & Dremio" webinar here and we will send you a reminder.

Sponsored by VAST