Kiran has 10+ years of experience in Enterprise Software Consulting, Product Management and Technology Marketing. He has been working on application development, technology implementation, Hadoop and DBMS integration, and big data analytics and reporting. At Teradata, Kiran is responsible for data governance and metadata management solutions for Hadoop including Teradata Loom®. Prior to Teradata, Kiran worked with major technology companies like VMware, SAP and Symantec enabling key technology and data solutions for Fortune 500 customers. Kiran has an MBA from UVA Darden school of business and an Engineering Degree from Birla Institute of Technology & Science. https://speakerdeck.com/kirankamreddy 2015-10-26 14:39:06 -0400 Teradata Listener™ is an intelligent, self-service solution for ingesting and distributing extremely fast moving data streams throughout the analytical ecosystem. Listener is designed to be the primary ingestion framework for organizations with multiple data streams. Listener reliably delivers data without loss and provides low-latency ingestion for near real-time applications. Teradata Listener™ is an intelligent, self-service solution for ingesting and distributing extremely fast moving data streams throughout the analytical ecosystem. Listener is designed to be the primary ingestion framework for organizations with multiple data streams. Listener reliably delivers data without loss and provides low-latency ingestion for near real-time applications. Mon, 26 Oct 2015 00:00:00 -0400 https://speakerdeck.com/kirankamreddy/teradata-listener-radically-simplify-big-data-streaming https://speakerdeck.com/kirankamreddy/teradata-listener-radically-simplify-big-data-streaming Hadoop based data Lakes have become increasingly popular within today’s modern data architectures for their ability to scale, handle data variety and low cost. Many organizations start slow with the data lake initiatives but as they grow bigger, they suffer with challenges on data consistency, quality and security, resulting in losing confidence in their data lake initiatives. This talk will discuss the need for good data governance mechanisms for Hadoop data lakes and it relationship with productivity and how it helps organizations meet regulatory and compliance requirements. The talk advocates carrying a different mindset for designing and implementing flexible governance mechanisms on Hadoop data lakes. Hadoop based data Lakes have become increasingly popular within today’s modern data architectures for their ability to scale, handle data variety and low cost. Many organizations start slow with the data lake initiatives but as they grow bigger, they suffer with challenges on data consistency, quality and security, resulting in losing confidence in their data lake initiatives. This talk will discuss the need for good data governance mechanisms for Hadoop data lakes and it relationship with productivity and how it helps organizations meet regulatory and compliance requirements. The talk advocates carrying a different mindset for designing and implementing flexible governance mechanisms on Hadoop data lakes. Mon, 26 Oct 2015 00:00:00 -0400 https://speakerdeck.com/kirankamreddy/data-lake-governance https://speakerdeck.com/kirankamreddy/data-lake-governance