Preparing for the Next-Generation Cloud Data Architecture

   
  • David LoshinPresident, Knowledge Integrity Inc. | Program Director, Master of Information Management, University of Maryland
  • Deepa SankarVice President, Portfolio Marketing, Dremio

Session Abstract

Data architectures for reporting and analytics continue to evolve as organizations transition from on-premises systems to the cloud. Organizations look to invest in high-performance, flexible, scalable, and future-proof data architecture. Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers and analytics tools.In this webinar, David Loshin from TDWI helps you prepare for the next-generation cloud data architecture and discusses steps to take best advantage of this modernized environment.In this webinar, attendees will learn about:

  • Why the traditional data warehouse architecture is insufficient for modern analytics
  • Storage tiering, data latency, and minimizing copies
  • The importance of separating data from compute on the cloud
  • The value of query engines
  • How semantic layers enable self-service

Ready to Get Started? Here Are Some Resources to Help

Case Study

Case Study

Dremio Supports Moonfare’s High-Performance Culture with a High-Performance Lakehouse

Moonfare replaced a PostgreSQL-based data warehouse on Amazon Web Services (AWS) with a Dremio data lakehouse to offer data engineers, analysts and business users a high performance platform for business intelligence and predictive analytics empowering them to make better data-driven decisions.

read more

Case Study

Case Study: DB Cargo Gives Users the Green Light to All Data with Dremio

Deutsche Bahn Group (DB) is one of the world's leading mobility and logistics companies. The DB Cargo business unit manages DB's rail freight business.

read more
Case Study

Case Study

Case Study: Amazon Accelerates Supply Chain Decision Making with Dremio

Amazon's Supply Chain Finance Analytics team developed a new analytics architecture with Dremio to simplify ETL processes, accelerate queries, and provide analytics on a unified view of the data.

read more

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us