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Mar 24, 2021 @ 12:00 PM CDT -- On Demand Webinar

High Performance Cloud Data Warehouse Vendor Evaluation

This free 1-hour webinar brings GigaOm analyst William McKnight and special guest, Cloudera’s Bill Zhang, Director of Data Warehouse Product Management to discuss the intriguing results from an in-depth Analytic Field Test derived from the industry-standard TPC™-DS benchmark to compare leading cloud data warehouse offerings: Amazon Redshift, Azure Synapse, Snowflake, Google BigQuery and Cloudera Data Warehouse.

Data-driven organizations rely on analytic databases to load, store, and analyze volumes of data at high-speed to derive timely insights. Data volumes within modern organization’s information ecosystems are rapidly expanding—placing significant demands on legacy architectures. Today, to fully harness their data to gain a competitive advantage, businesses need modern, scalable architectures and high levels of performance and reliability to provide timely analytical insights. Companies are attracted to fully-managed cloud services.

In this 1-hour webinar, you will discover:

  • How cloud databases are a way for enterprises to avoid large capital expenditures, provision quickly, and provide performance at scale for advanced analytic queries
  • How leading cloud data warehouses compare on both performance and cost across a broad spectrum of real-world queries
  • Guidelines for conducting your performance evaluations
  • Field Test results

Featured Speakers

William McKnight Analyst, GigaOm Research
Bill Zhang Director of Data Warehouse Product Management, Cloudera

Why Attend?

This webinar focuses on relational analytical databases in the cloud because deployments are at an all-time high and poised to expand dramatically. The cloud enables enterprises to differentiate and innovate with these database systems at a more rapid pace than was ever possible before.
Register now for this free expert webinar.

Who Should Attend:
• Data Architects
• Data Strategists
• Data Analysts
• IT Leadership
• Data Engineers
• Chief Data Officer & Team
• Application Owners

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Cloud & Infrastructure, Data Warehouse
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