First published on MSDN on Jul 16, 2018
Team members from Microsoft AzureCAT (a.k.a. DataCAT / SQLCAT) will be presenting a
on “Building A Scalable Data Architecture In Azure” at the upcoming
conference in Bengaluru, India. We are very excited to be part of the 4th edition of Asia’s largest Microsoft data-focused conference, with over 1000 attendees expected overall.
The motivation for this full-day pre-conference training is to share with attendees typical scenarios and considerations in architecting and implementing solutions on Microsoft Azure. Whether you are migrating an existing on-premises data pipeline, or implementing a greenfield project in the cloud, the variety of choices in terms of technologies can be bewildering and confusing. We intend to share scenarios and patterns and practices which have worked in those scenarios. With this background, the attendee has a head-start on the technical front and more importantly, confidence that the architectural patterns work in real-world scenarios.
The pre-conference is structured into the following sections:
Overall Azure Data Services landscape
Transactional systems and structured data with Azure SQL DB
Not Only SQL systems (NoSQL) with Cosmos DB
Relational Data Warehousing using Azure SQL DW
Handling streaming data in Azure with Event Hubs, Kafka etc.
Building Data Lakes in Azure
Data Analytics and AI / ML at scale using Apache Spark, Azure Data Lake Analytics etc.
Options for orchestrating data pipelines: Azure Data Factory etc.
Interactive Querying using Power BI, Azure Analysis Services etc.
Top lessons learnt from real-world customer engagements
Each section will be accompanied by demos highlighting practical considerations and recommendations beyond just the basics. The team members who are part of this conference are all very experienced in the industry and are true believers in sharing information and learnings:
leads the DataCAT group within AzureCAT and is based in the Microsoft HQ at Redmond, USA. His current focus is on overall architecture patterns in the cloud.
is part of AzureCAT based in Bengaluru, India. He has helped major customers adopt and use Microsoft Azure. He brings to the table practical considerations and architectural recommendations based on his hard-earned experiences.
is part of the DataCAT group based in Redmond, USA. His focus areas include relational (SQL) systems and distributed computing using Apache Spark.
is part of the AzureCAT team and is based in Mumbai, India. His focus areas are Azure SQL DW, Interactive querying using Power BI and AAS.
Guru Charan Bulusu
is part of AzureCAT and works in the Microsoft Bengaluru office. His key focus areas are Streaming data, NoSQL, AI and ML.
We hope you are as excited as we are to bring this content to you. We hope you can
on August 8th at the DPS 10 pre-conference!