Atlanta Business Intelligence Group

Welcome, Atlanta Microsoft Business Intelligence and Power BI Fans!

Meet other local Business Intelligence fans to discuss the Microsoft BI Platform. Unless otherwise announced, we meet on the first Monday of every month. Membership is complimentary but please register at and associate with our group.

Please RSVP your attendance for each meeting by submitting the survey on the right. Please note that the voting system tracks votes by cookies. If you don't see an option to submit the survey, clear your browser cookies or right-click the Internet Explorer icon and click Start InPrivate Browsing.

Meeting Agenda
6:30 - 6:45 - Networking
6:45 - 7:00 - Announcements, Prototypes with Pizza

7:00 - 7:15 - Sponsor Presentation
7:15 - 8:15 - Main Presentation
8:15 - 8:30 - Q&A, Swag

Meeting Place
8000 Avalon Boulevard
Suite 900
Alpharetta, GA 300092

Please use the covered parking lot next to Avalon 8000 building. The second gate on the right should be open so you can use the parking space reserved for Microsoft without using an event code. You can also park anywhere else. 

Make sure your wireless adapter is set to dynamically obtain an IP address. Connect to the wireless network MSFTGUEST. Open a browser and navigate to a web site to be redirected to the Captive Portal. The access code will be provided onsite

Discussion Forum
Visit our Atlanta Microsoft Business Intelligence Group discussion forum to connect, learn, and interact with peers.

Donations are welcome at

Next Meeting


Leveraging Power BI on Presto for the Azure Data Lake


October 7, 2019


6:30 – 8:30 PM ET


Microsoft Office (Alpharetta)
8000 Avalon Boulevard Suite 900
Alpharetta, GA 30009


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


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


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"‚Äč on the website.

Prototypes with Pizza




Meetings in 2019

Jan 7
Feb 4
Mar 4
Apr 1
May 6
Jun 3
Jul 1
Aug 5
Sep 10
Oct 7
Nov 4
Dec 2



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