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 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.
Clarify differences between many-to-many and weak relationships in Power BI
Using Azure DevOps and Azure RM templates to created isolated environments for testing PaaS solutions.
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.
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.
What data profiling is & why you should do it.
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.
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.
How to build a Live Data Warehouse using Change Tracking capabilities
If your organisation doesn't have dirty data, it's because you are not looking hard enough. Join this session to see what you can do to clean up your data properly, using SQL Server 2017.
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory
DevOps and continuous integration provide huge benefits to data warehouse development. John will be showing how you can use VSTS and Octopus Deploy to build, test and deploy your data warehouse
Learn about the new compute optimized performance tier in SQL Data Warehouse and how to maximize your performance through improved table design and columnstore optimization.
In this session we will discuss about the Azure SQLDW and how we can use it to help on our day to day.
Pyramid Analytics BI Office’s Enterprise BI Platform and PrecisionPoint’s data warehousing solution for MS Dynamics ERP systems combine to deliver simplified access to key Business and Financial data.
Using SQL Server Service Broker you can create near real-time data in your data warehouse for more timely analysis and reporting.
This session describes columnstore index internals with deep insight into data compression methodology for achieving high query performance including improvements in column store investments for SQL Server 2016 and Microsoft Azure SQL Database
This session covers the more advanced aspects of development for Azure SQL Data Warehouse. Areas such as data movement, workload concurrency and resource management will all be covered during this intense 60 minute session.
<<1234>>