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Sessions & Content
Sessions & Content
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data warehousing
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Conference
SQLBits XVIII
10
A dive into the architecture that is Azure SQL DW Gen2
A technical overview of Azure SQL Data Warehouse Gen 2. SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
Biml Tips and Tricks: Not just for SSIS packages!
Biml is not just for generating SSIS packages! Come and see how you can use Biml to save time and speed up other Data Warehouse development tasks like T-SQL development, test data creation, and dimension population.
Different types of many-to-many relationships in Power BI
Clarify differences between many-to-many and weak relationships in Power BI
Disposable Dev environments with Azure DevOps and AzureRM
Using Azure DevOps and Azure RM templates to created isolated environments for testing PaaS solutions.
Learn how to build a real-time analytics solution
In this session we will learn which processes are required to build a real-time analytical model along with batch-based workloads, which are the foundation of a Lambda architecture.
Modern Data Warehousing with SQL DW and Databricks
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics service that can be used for big data analytics and artificial intelligence (AI) solutions. This session will cover the architecture patterns for using the two in synergy.
Profiling Your Data
What data profiling is & why you should do it.
SentryOne Tools for Productivity and Performance
This quick vendor session demonstrates the spectrum of SentryOne's best-of-breed products for the Microsoft Data Platform, from Task Factory, to Plan Explorer, to DOC xPress, to the SentryOne monitoring platform, and beyond.
The Future of Data Warehousing
Learn about how to future-proof your modern data warehousing environment to meet the needs of the business for the long term; as well as how to overcome common data warehousing challenges, the related must-have technology solution.
Using Change Tracking to build a Live Data Warehouse
How to build a Live Data Warehouse using Change Tracking capabilities
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