Hello Everyone!

We are pleased to announce that registration is open for the "Azure DataFest: Microsoft Azure Advance Analytics and Big Data Conference", a 1-day event to be held on Thursday, March 1, 2018, 9:00AM to 5:00 PM at the Microsoft Training Center at 5 Wayside Rd, Burlington, MA 01803.

Please note - this will be a paid conference, and we are charging a nominal registration fee of $22.00 up to the February 26th registration deadline. Hurry though, we only have 200 seats available for this great one day event, packed with nearly 20 advanced analytics and big data sessions. This will be a great event, and one you will not want to miss out on.

Please note: Any fees or sponsorship funds collected for this events are collected on behalf of IT Pro Camp, Inc., a 501C3 / Not-for-profit. Any questions can be directed to the administrative staff for IT Pro Camp, Inc., alex@itprocamp.com .

Also, here are the technical sessions being lined up for you to enjoy, with speakers from Microsoft and the larger technical community:

Azure Data WarehousePower BICosmos DBAzure Analysis ServicesHDInsightMachine LearningStream AnalyticsCognitive ServicesAzure Bot ServicesData Lake AnalyticsData Lake StoreData FactoryPower BI EmbeddedData CatalogLog AnalyticsApache Spark for Azure HDInsightDynamics 365 for Customer InsightsCustom Speech ServiceAPIs: Emotion, face, Bing Speech, Web Language Model, Speaker Recognition, Bing Autosuggest, Bing Spell Check, Translator Speech, Translator Text

We will begin with everyone in a general session, starting with a keynote, followed by two technical sessions, enjoy a lunch in learn, then break into 6 tracks, 3 sessions per track.

Planned schedule:

Thursday, March 1, 2018:

8:00AM - 9:00AM - Check-in/registration, 1st floor, Light Breakfast

9:00AM - 9:50AM - Key Note, MPR – Introductions and Key Note - Danielle Dean

10:00AM -10:50AM - General Session – All Up Azure Data Services – Andy Roberts, George Walters

11:00AM -11:50AM - General Session – Introduction to Azure Databricks – Abhinav Garg, Tom McGovern

12:00PM - 12:50PM - Lunch and Learn - Migrating and Protecting Big Data in Azure Cloud - George Folden

1:15PM - 2:15PM - Breakout Sessions

Bretton Woods - John MinerStaging data for Azure SQL services

Monroe - Mike Walsh Azure SQL Database: A Guided Tour

Cannon - Sonia AngTransforming the Insurance Industry SOX Compliance and Audit by Leveraging Text Mining Strategies Using Microsoft R, LUIS, and Azure ML

Adams - Mike O’ConnerModernizing Analytics Infrastructure with Microsoft BI Solutions

Washington - Jay Liu Azure Machine Learning Toolsets and Ecosystem

Jefferson - Paresh Motiwala Big Data and HDInsight

2:30PM - 3:30PM - Breakout Sessions

Bretton Woods - Chris Seferlis Destination Azure... building ETL workloads in the cloud!

Monroe - Andrew Alexander Modern Data Warehouse Architecture with Azure Data Warehouse

Cannon - Taiob Ali -Azure Automation: Your SQL Agent in the Cloud

Adams - Kenneth Philcox Power BI Embedded - Unifying Power BI Analytics and your Application

Washington - Laura EdellRunning your fantasy football league using Azure ML Services & Deep Learning

Jefferson - Andrei FateevAzure Cosmos DB Globally distributed, multi-model database service

3:45PM - 4:45PM - Breakout Sessions

Bretton Woods - Elizabeth RossoAzure Data Catalog - Registering Data Sources

Monroe - Laurent BanonAzure MySQL, simplifying your infrastructure

Cannon – Jack BenderAzure Stream Analytics

Adams - Pavle Coric Azure Analysis Services

Washington - Bryan Cafferky The Power of Two: SQL Server/Machine Learning Server Integration

Jefferson - Dan Cokely Custom speech recognition and speech analytics using Custom Speech Service and Cognitive Services –

4:50-5:00 - Wrapup - MPR

Please help spread the word via twitter ( @azuredatafest #azuredatafest2018), LinkedIn, etc. Thank you for registering and we look forward to seeing you all at the event!

If you have a question about the event, the way to ask is to email us at adfboston.team@outlook.com

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Boston Azure DataFest: Microsoft Azure Advanced Analytics and Big Data Conference