Join us to learn about Azure Synapse Analytics, a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. Come see how you can get started today!
Using a gaming company scenario, Azure Synapse Analytics demonstrates how it brings together enterprise data warehousing and Big Data analytics into a single service. Azure Synapse is a Limitless analytics service with unmatched time to insight.
As better performance and more scalability enables companies to consolidate their data and democratize access, security becomes an even greater concern. Developing an enterprise data warehouse solution requires a comprehensive set of security controls, from securing a single cell to monitoring an entire database for security threats. Azure Synapse Analytic’s comprehensive security model gives you the fine grained controls you need to secure your data at every level, a necessity for any enterprise solution. Come learn the best practices of existing security features and check out the newest security features in Azure Synapse!
Discover the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse Analytics is a limitless analytics service with unmatched time to insight. Empower your data professionals with a unified experience built to ingest, prepare, manage, and serve data for immediate BI and machine learning applications.
John Macintyre, Director of Product, Azure Data, unveils the new Azure Synapse Analytics. This limitless analytics service delivers unmatched time to insight, simplifying enterprise data lake and data warehousing solutions. Empower your data professionals with a unified experience built to ingest, prepare, manage, and serve data for immediate BI and machine learning applications.
Many say data is the new oil, but electricity may be a better analogy. Data powers insights behind critical business decisions but must also be handled safely, properly harnessed, and effectively delivered. Microsoft’s unique combination of Power BI and Azure SQL Data Warehouse (SQL DW) enables customers everywhere to use industry-leading services not only to power their businesses with rich insights, but also store and deliver that data with unmatched efficiency and performance. Join us to learn how Power BI and SQL Data Warehouse empowers your organization to analyze trillions of rows of data and extract instant insights, leveraging Power BI aggregations and composite models to unify data from multiple connections with surprising ease.
Democratizing data empowers customers by enabling more and more users to gain value from data through self-service analytics. Processing raw data for building apps and gaining deeper insights is one of the critical tasks when building your modern data warehouse architecture. In this session, we will show you how to build data pipelines with Spark and your favorite .NET programming language (C#, F#) using both Azure HDInsight and Azure Databricks, and connect them to Azure SQL Data Warehouse for reporting and consumption.
Come to this session to learn how to enable collaboration and solution design for business users and IT specialists to build solutions that enable an organization to harness the power of their big data. This session will enable you to collaborate across business and IT, and show how we can extend intelligence beyond Power BI into Azure Data Services. Once Power BI has landed in an organization, attaching and extending into Azure can be achieved using common use cases and modernization plays.
Gaurav Malhotra joins Scott Hanselman to show how to build a modern data warehouse solution from ingress of structured, unstructured, semi-structured data to code-free data transformation at scale and finally to extracting business insights into your Azure SQL Data Warehouse.Azure Data Factory overviewAzure SQL Data Warehouse overviewAzure Data Factory docsAzure SQL Data Warehouse docsCreate a free accont (Azure)
Having implemented Azure SQL Data Warehouse solutions for dozens of clients, here are the lessons learned we wish we had known several years ago. Learn a great way to make your loads run twice as long. Learn the best ways to make columnstores perform as slowly as molasses in January. Take a visit to the distribution key hall of shame. We review some common mistakes, understand what’s happening under the covers, then show the best practice to fix the problem.
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