Data Swindon: Azure, IoT, Real Time Data, Analytics and ETL

We are very pleased to have Paul Andrew of Altius (www.altiusdata.com) presenting two talks for our Azure themed evening here in Swindon. Paul is a Microsoft Data Platform MVP with 10+ years’ experience working with the complete on premises SQL Server stack in a variety of roles and industries. Now as the Business Intelligence Consultant has turned his keyboard to big data solutions in the Microsoft cloud. Specialising in Azure Data Lake Analytics, Azure Data Factory, Azure Stream Analytics, Event Hubs and IoT.

AGENDA

18.15 – 18:30 Meet & Greet

18:30 - 19:20
TALK #1 - Paul Andrew "ETL in Azure Made Easy with Data Factory Data Flows" (Level 2)

What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure. In this session we’ll look at Azure Data Factory and how it integrates with Azure Databricks to produce a powerful abstraction over the Apache Spark analytics ecosystem. Now we can transform data in Azure using Databricks, but without the need to write a single line of Scala or Python! If you haven’t used either service yet, don’t worry, you’ll get a quick introduction to both before we go deeper into the Data Factory Data Flow feature.

----------
19.20 – 19:40 Break & Pizza

19:40 - 20:30
TALK #2 - Paul Andrew "Beyond IoT Real-time Data Ingestion with Azure Stream Analytics" (Level 3)

The desire and expectation to use real-time data is constantly growing, businesses need to react to market trends instantly. In this new data driven age a daily ETL load/processing window isn’t enough. We need a constant stream of information and analytics achieved in real-time. In this session will look at how that can be achieved using Azure Stream Analytics. Building streaming jobs that can blend and aggregate data as it arrives to drive live Power BI dashboards. Plus, we’ll explore how a complete lambda architecture can be created when combining stream and batch data together.

EVENT SPONSORS

We would like to thank our generous sponsors for supporting us:

C4S Search (www.c4s-search.co.uk)
St. James's Place Wealth Management (www.sjp.co.uk)
Altius (www.altiusdata.com)

WHEN AND WHERE

The venue is: C4S Search, Barbury House, Stonehill Green Business Park, Swindon, SN5 7HB. If for any reason, you cannot make it, please un-RSVP in good time.

LEVELS

Level 1: Introductory and overview material
Level 2: Intermediate material (background knowledge useful)
Level 3: Advanced (assumes prior subject matter knowledge)
Level 4: Expert (deep level of technical knowledge)