Atlanta MS BI and Power BI Group Meeting on October 7th

MS BI fans, join us for the next Atlanta MS BI and Power BI Group meeting on October 7, Mondayat 6:30 PM at the Microsoft office in Alpharetta. Qubole will show us how Presto, Azure Data Lake, and Power BI can be used to analyze Big Data. Qubole will sponsor the meeting. For more details, visit our group page and don’t forget to RSVP (fill in the RSVP survey if you’re planning to attend).

Presentation:Leveraging Power BI on Presto for the Azure Data Lake
Date:October 7, 2019
Time6:30 – 8:30 PM ET
Place:Microsoft Office (Alpharetta)
8000 Avalon Boulevard Suite 900
Alpharetta, GA 30009
Overview:Presto is a distributed ANSI SQL engine designed for running interactive analytics queries. Presto outshines other data processing engines when used for business intelligence (BI) or data discovery because of its ability to join terabytes of unstructured and structured data in seconds, or cache queries intermittently for a rapid response upon later runs. Presto can also be used in place of other well-known interactive open-source query engine such as Impala, Hive or traditional SQL data warehouses. Attend this event to learn:

·        Why Presto is better suited for ad-hoc queries than other engines like Apache Spark

·        How to jumpstart analysts across your organization to harness the power of your big data

·        How to generate interactive or ad hoc queries or scheduled reports using Presto

·        Real-world examples of companies using Presto

Speaker:Man Zhang is a Solutions Architect at Qubole. He has 20+ years in software systems architecture, development, and integration and 4+ years in Big Data architecture. https://www.linkedin.com/in/man-zhang-34a887/
Sponsor:Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon Web Services, Microsoft and Google Clouds. We were started by the team that built and ran Facebook’s Data Service when they founded and authored Apache Hive.  With Qubole, a data scientist can now spin up hundreds of clusters on their public cloud of choice and begin creating ad hoc and/or batch queries in under five minutes and have the system autoscale to the optimal compute levels as needed.  Please feel free to test Qubole Data Services for yourself by clicking “Free Trial”​ on the website.
Prototypes with PizzaTBD

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