Enable High-Concurrency, Low-Latency BI on a Cloud Data Lake to Shrink Your Data Warehouse Cost

  • Tomer ShiranFounder & Chief Product Officer @ Dremio
  • Tom FrySenior Director Product Management, Dremio

Session Abstract

The data lake has emerged as the preferred data repository in the cloud. Yet BI analysts have benefitted little from the cloud’s infinite supply of on-demand compute resources and inexpensive storage. Instead, they’ve been forced to attempt to analyze data stored in cloud data lakes by either:

  • Querying the data in the cloud data lake using SQL engines far too slow for modern BI tools
  • Waiting for their data team to move subsets of data into data warehouses and data marts

But Dremio’s Fall 2020 Release solves these issues—and can save you a significant amount of money and waiting as a result.Join us for this webinar where we’ll explore how innovative, new Dremio features enable high-concurrency, low-latency BI queries directly on Amazon S3 and Azure Data Lake Storage.We’ll discuss and demonstrate:

  • New Apache Arrow-based capabilities that deliver sub-second query response times directly on cloud data lakes
  • How you can support thousands of concurrent users and queries
  • How Dremio accelerates performance >100x for data warehousing workloads that use star schemas
  • A new, built-in Power BI integration that lets users immediately create beautiful dashboards on S3 or ADLS with Power BI

Webinar Transcript

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