DataPlatformGeeks successfully executed SIX webinars in the month of December, 2019.
A Lap Around SQL Server 2019 Big Data Cluster
Abstract: The new release of SQL Server; SQL Server 2019 includes Apache Spark and Hadoop Distributed File System (HDFS) for scalable compute and storage. This new architecture that combines together the SQL Server database engine, Spark, and HDFS into a unified data platform is called a “big data cluster.”
This webinar gives you an overview of what a SQL Server Big Data Cluster is, and what you can do with it. We look at the various components, (Kubernetes, Spark, HDFS, PolyBase, etc.), and what you can do with them, and how to run the Big Data Cluster on Azure Kubernetes Service.
Azure Data Studio and SQL Server 2019 Big Data Cluster
Abstract: Azure Data Studio, (ADS), is a cross platform, (Windows, Mac, Linux), data tool for Microsoft’s on-prem and cloud data platforms.
In this webinar we do a brief overview of ADS, followed by a deep-dive into how you can use ADS for deploying and and managing a SQL Server Big Data Cluster.
Azure SQL Database Unleashed – Managed Instance, Hyperscale, and More Horsepower!
Abstract: In the not too distant past Azure SQL Database was known to many as just “cloud-based SQL Server” without the full features needed to encourage a move to it from on-premises SQL Server. Times have changed! Azure SQL Database, with the addition of deployment models like Managed Instance and storage technologies like Hyperscale, has matured into a formidable competitor in the PaaS database space. Join me as I walk you through how these technologies work behind the scenes, what options that gives you as you and your company consider migration, and how the Azure SQL Database family has given companies a powerful platform to store and use their data without much of the management overhead and hassle.
ADF, Mapping Data Flow
Abstract: In today’s world, big data processing is a critical task for every organization. Organization spent good amount of time and resources to build data transformation pipeline. Recently Microsoft launched ADF Mapping Data Flow. Mapping Data Flows allow users to quickly transform data at scale. Build resilient data pipelines in an accessible visual environment with our browser-based designer and let ADF handle the complexities of Spark execution.
Indexing in Azure Data Warehouse
Introduction to Apache Kafka Architecture
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