Description

Big Data Clusters (BDC) is a new set of capabilities introduced in SQL Server 2019 to help achieve data-driven business insights from the high-value relational data, and high-volume big data. With BDC, organizations can run containerized Apache Spark and Hadoop Data File System (HDFS) natively as part of SQL Server 2019, in addition to running relational databases, Microsoft Machine Learning capabilities, and Polybase data virtualization. BDC requires Linux containers and Kubernetes, and recently Red Hat OpenShift was added as a commercially supported Kubernetes platform for BDC. OpenShift helps achieve the desired agility, consistency, flexibility, scalability, portability, etc. for data science and application development workflows.


In this session, you will learn about the data analytics market, BDC and OpenShift architecture, key capabilities, use cases, joint value proposition, and technical resources to get you up to speed.

Instructor's Bio

Mihaela Blendea

Senior Program Manager in SQL Server team at Microsoft 

Mihaela is a Senior Program Manager in SQL Server team. She has been working in the team for many years on Azure SQL, SQL Server on Linux, on multiple features across the SQL Server stack. For the past couple of years she focused on SQL Server running in containers and enabling Big Data Clusters capabilities on top of Kubernetes.


Tushar Katarki

Sr. Principal Product Manager at 

Red Hat 

Tushar Katarki is a senior technology professional with experience in cloud architecture, product management and engineering. He is currently at Red Hat as a product manager for OpenShift and the lead for Machine Learning on OpenShift. Prior to the current role, Tushar has been a product manager and a developer at Red Hat, Oracle (Sun Microsystems), Polycom, Sycamore Networks and Percona. Tushar has a MBA from Babson College and MS in Computer Science from University at Buffalo.


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Webinar

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    Data driven insights with SQL Server Big Data Clusters and OpenShift Kubernetes Platform

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