How to Build a Modern Data Lake and/or Warehouse On-Prem

Together, Dremio and Pure FlashBlade create a modern data lake and/or warehouse with the flexibility of cloud-native query engines and storage. This combination makes it simple to independently scale, operate, and upgrade systems. Your data teams gain agility from the ability to query data in-place, whether stored as files or objects or in managed databases, allowing you to store data at the best location with no extra copies. In this session, learn how to modernize your legacy data lake or warehouse to create a modern kubernetes-based platform with Dremio and FlashBlade and how this architecture enables radical improvements in time-to-value for your data.

Topics Covered

Data Lake Engines

Data Lake Storage

Dremio

Speakers

Navin Albert

Navin Albert is a Sr. Solutions Manager for analytics and AI at Pure Storage. He leads the development of new and innovative solutions that bring modern Analytics and AI software, together with cloud-native infrastructure to deliver superior business results. His team curates best practices to simplify management while delivering performance at petabyte-scale for software such as Elastic Search, Apache Spark, Apache Kafka, Tensorflow etc. He has held various positions formerly at Databricks, Splunk, and Cisco Systems.

Ready to Get Started? Here Are Some Resources to Help

Using Data Mesh to Advance Distributed Data Access, Agility and Governance

Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.

Webinars

Smart Data – Smart Factory with Octotronic and Dremio

Guides

What Is a Data Lakehouse?

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.