Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
In this action-packed demo full session, we will be showing you how to combine Azure DW and Power BI to get optimal performance for running your day to day reports.
In this session we explore Azure Synapse Analytics, we will dive into this limitless analytics service and explore how it brings together enterprise data warehousing and Big Data analytics.
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Azure Synapse now provides a Query-as-a-Service capability to enable serverless exploration over your data lake with no infrastructure or clusters - all you need to know is T-SQL.
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
This session will dive into how to successfully migrate to Azure Synapse, all the way from code conversion to enterprise grade developer tooling, with real customer examples for product and migration experts.
Azure's breadth of products can make technology selection a challenge. Learn how to make pragmatic and informed choices that meet your application's data transformation, processing and storage requirements.
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
Azure now has two slick, platform-as-a-service spark offerings, but which one should you choose? A separate specialist tools or a one-size-fits-all solution? Join Simon as he compares and contrasts the spark offerings.
The session is for everyone who knows the data warehousing concept and wants to broad theirs horizons with modern capabilities of processing the data at scale.
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.
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.
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
In this session we will discuss about the Azure SQLDW and how we can use it to help on our day to day.
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