Democratizing Data Access, Analytics and Innovation on the Cloud Data Platform

   
  • Kevin PetrieEckerson Group
  • Ben HudsonStaff Product Manager at Dremio

Session Abstract

Digital transformation, data democratization, and cloud modernization are fueling the rise of cloud data platforms. By running SQL workloads directly on cloud-native object storage, the cloud data platform seeks to merge the best of data warehouse and data lake technologies. Enterprise BI analysts and data scientists alike consume data from these repositories to answer their growing analytics needs.That’s why enterprises adopt cloud data platforms. But how do their data teams actually achieve those goals? They face obstacles such as complex data warehouse structures, slow performance, and siloed datasets. Data engineers in particular struggle to simplify, accelerate, and consolidate analytics workloads on cloud data platforms. This webinar provides guiding principles to overcome the obstacles.Join Eckerson Group and Dremio to learn how your data team can:

  • Open up data access for decision makers throughout the enterprise
  • Reduce the need for complex BI extracts, aggregation tables, and OLAP cubes
  • Improve latency and throughput for analytics
  • Eliminate data silos
  • Foster innovation with open data formats, APIs, and ecosystem support

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