How Arcadia Data brings self-service BI to the data lake

The data lake is a new approach to data management that requires a new approach to analytics

1 2 Page 2
Page 2 of 2

Once analytical views are created, they need to be refreshed as the underlying data gets updated. Refreshes can be run automatically by a scheduler job at regular intervals. Incremental refreshes usually take little time, since they are aggregating data from new or updated partitions.

From this point onward, your dashboards are ready to be operationalized, making the data lake a unified platform for data discovery, as well as a foundation for production analytics applications for use cases spanning 360-degree customer views to cybersecurity, supply chain analysis, and communications network performance optimization.

Priyank Patel is co-founder and chief product officer at Arcadia Data, where he leads the charge in building visually beautiful and highly scalable analytical products. Prior to co-founding Arcadia, he was part of the founding engineering team at Aster Data, where he designed core components of the Aster Database. He later transitioned into field roles to win the company’s first customers in the Eastern US region and then into product management for the SQL-MapReduce and Analytical Frameworks. Following Teradata’s acquisition of Aster, Priyank led product management for its Big Data Appliance in close partnership with Hortonworks.

New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. Send all inquiries to newtechforum@infoworld.com.

Copyright © 2018 IDG Communications, Inc.

1 2 Page 2
Page 2 of 2
How to choose a low-code development platform