April 17th 2019


April Meeting Invitation

Please join us for the monthly Charlotte SQL Server User Group evening meeting.

    • What ~ Charlotte SQL Server User Group Meeting

    • When ~ Wednesday, April 17th, 2019

        • 5:30 PM Networking with Food & Refreshments
        • 6:00 PM Technical Presentation
        • 7:30 PM Meeting End
    • Where @ 8055 Microsoft Way, Charlotte, NC 28273 Map it

    • PresenterTed Malone – Microsoft

    • Topic Data Flow is a new feature available in Azure Data Factory that brings the “T” to your ELT/ETL pipelines. Data Flow enables you to build complex ETL/ELT processes with a graphical interface and effectively extends Azure Data Factory to become “SSIS in the Cloud”..

    • Registration – Free RSVP required at EventBrite

Register for the Meeting
Ted Malone

Basically I am a data platform professional. I am deeply involved with database technologies and associated analytics as well as merging Business Intelligence Development processes into agile methodologies. I am also heavily involved with “Big Data” and “Advanced Analytics” as well as Machine Learning. (I was considered a “Data Scientist” before Data Science was “Cool”). I was the lead visionary for Big Data, Machine Learning and Advanced Analytics solutions for our Federal Customers at Microsoft but have recently made the jump to support large enterprise customers in the Desert Southwest. Prior to joining Microsoft I was a Microsoft Visual Studio ALM MVP with a focus towards “Data Dude” and “Agile Database Methodologies”. I spend much of my time today helping our customers understand and visualize how “Big Data Analytics” and Machine Learning technologies can enhance their mission.

In this session Ted Malone, Data Solution Architect – Advanced Analytics and AI, from Microsoft, will discuss Data Flow and how it can be a major component of your Data Engineering process. Attendees will learn how to get started with Data Flow, and how complex Data Engineering pipeline processes, backed by Spark and Azure Databricks, can be developed with ease in a graphical environment. This session will be “demo heavy” and is designed to get attendees excited about the possibilities of Azure Data Factory and Data Flow.
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