Qubole Meetup: Leveraging Power BI on Presto for the Azure Data Lake


Microsoft Technology Center
110 9th Avenue SW – Suite 710 Calgary, AB T2P 0T1


September 19, 2018
5:30 PM MDT



Register Here

Leveraging Power BI on Presto for the Azure Data Lake

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.

Qubole Presto, a cloud-optimized version of open source Presto, allows for dynamic cluster sizing based on workload, and terminates idle clusters — ensuring high reliability while reducing compute costs. Qubole customers use Presto along with their favorite BI tools, including PowerBI, Looker, Tableau, or any ODBC- and JDBC-compliant BI tool, to explore data and run queries. 

At this event, you will 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 Qubole and Presto
  • Real-world examples of companies using Presto




5:30 PM - 5:15 PM    Check-in 
5:15 PM - 5:45 PM    Introduction to Presto on Azure
5:45 PM - 6:30 PM    Review Use Case Fits + Benefits of Presto Adoption
6:30 PM - 7:30 PM   Network + Q&A


Ben Roubicek.png

Ben Roubicek


Sr. Solutions Architect - Qubole

Ben Roubick is a Sr. Solutions Architect at Qubole who has 15 years of experience in Java, Python, RDBMS, and more recently Big Data. In addition, he's held every engineering title ranging from Engineer to CTO. Join Ben as he shares an overview of the state of modern data architecture followed by insights on key trends and current problems in Big Data. He'll introduce key takeaways from our 2018 Big Data Activation Report -- revealing how companies are becoming successful and which technologies are most popular for users to operationalize their big data workflows.



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