Building a Modern Data Warehouse on Microsoft Azure with Azure HDInsight and Azure Databricks

Building a Modern Data Warehouse on Microsoft Azure with Azure HDInsight and Azure Databricks

Thursday, April 19
11:00 AM - 11:40 AM
Room I

Enterprises today face a myriad of choices and challenges when attempting to gain both near real time and long term insights from their data; a Modern Data Warehouse. They must learn to deploy and manage Kafka, Spark, Hive, LLAP and a myriad other technologies. Architects and developers have to spend time to understand not just the capabilities of each technology and service but also how they can all be made to work together to meet their unique business goals. In this session, we will go over how enterprises can build a cloud-based modern data warehouse on Azure using open-source projects available as part of Azure HDInsight and Azure Databricks. We will walk through each step of the end to end analytics pipeline from data ingestion to visualization. Come and learn about the best practices, guidelines and tips-and-tricks when choosing the technology to use at each step such that you can deliver the most secure, manageable and functional data warehouse anywhere in the cloud.

SPEAKERS

Arindam Chatterjee
Principal Program Manager
Microsoft
Arindam is a Principal Group Program Manager in the Microsoft Big Data group where he leads the Azure HDInsight team. He comes to big data after extensive experience in Transaction Processing, Authentication & Authorization technologies in Windows Core OS, and designing the Microsoft Dynamics security model. He is currently focused on making it easy for developers to build analytics applications using tools of their choice on cloud platforms that offer best of breed security, compliance, efficiency and cost-control.