Databricks Delta Lake and Its Benefits

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Delta Lake, an open-source innovations which brings new capabilities for transactions, version control and indexing your data lakes. We uncover how Delta Lake benefits and why it matters to you. Through this session, we showcase some of its benefits and how they can improve your modern data engineering pipelines. Delta lake provides snapshot isolation which helps concurrent read/write operations and enables efficient insert, update, deletes, and rollback capabilities. It allows background file optimization through compaction and z-order partitioning achieving better performance improvements. In this presentation, we will learn the Delta Lake benefits and how it solves common data lake challenges, and most importantly new Delta Time Travel capability. 

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About Nitin Raj Soundararajan

Cognizant Worldwide Limited

Nitin Raj Soundararajan is a technical architect focusing on advanced data analytics, data engineering, cloud scale analytics and data science to solve real business problems in multiple domains. He enjoys speaking at academic and industry conferences to share his knowledge and passion. His industry specializations include the Energy & Utilities, Technology, Healthcare and Food Processing. Nitin’s passion is using technology to drive efficiencies, and digitally transform organisations.

About Nagaraj Sengodan

HCL Technologies

Nagaraj Sengodan is a Senior Technical Manager in Data and Analytics Practice at HCL Technologies, where he brings over 15 years of industry experience in data engineering and analytics. He has architected, designed and developed integration of large-scale B2B and B2C Advanced Analytics and machine learning services across sectors including supply chain, manufacturing, retail and transport. He is passionate about, designing and developing large scale cloud-based data pipelines and learning & evaluating new technologies. He earned his Computer Science Master’s degree from Alagappa University and Microsoft certified Solution Expert in Data and Analytics track.