Let’s Build Together —
Hands-on Training Series for Azure Synapse Analytics
In this six-part training series, we’ll be 100% hands-on as we dive into Azure Synapse together. We’ll teach you how to get started with your first Synapse workspace, build code-free ETL pipelines, natively connect to Power BI, connect and process streaming data, use both serverless and dedicated query options, and more. Each 60-minute episode will be led by a member of the Azure Synapse engineering team.
Register once for the following sessions:
Episode 1: Getting Started with Your First Azure Synapse Project
Learn how to create a Synapse workspace, add users to the same workspace, and analyze public data sets with the serverless SQL pool and Apache Spark pool.
Episode 2: Data Engineering
Wednesday, May 5th, 2021 9:00 AM–10:00 AM Pacific Time
Get a firm understanding of both the code-free and code-first data integration tools available directly from your Synapse workspace.
Episode 3: Big Data and Operational Analytics
Create and optimize an Apache Spark pool with auto-scaling and query optimization; perform analytics on operational data with Azure Synapse Link.
Episode 4: Serverless Data Lake Exploration and Streaming Analytics
Explore using the new serverless SQL pool for ad-hoc analysis and data lake exploration; ingest, process, and analyze streaming data directly into your data warehouse.
Episode 5: Data Science and Predictive Analytics
Discover new Azure Synapse features to integrate predictive analytics capabilities into your organization—using both code-free and code-first options for AI/ML.
Episode 6: Optimize Data Warehouse Workloads for BI and Reporting
Optimize the performance and security of data mart and data warehousing workloads for your BI and reporting.
Attendees that follow along will need to have their own Azure subscription. There will not be a sandbox environment to log into. As a reminder, attendees with qualifying subscription types can use the free quantities promotion for Azure Synapse available until July 31st during these episodes.