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Promising calmer waters

Common Mistakes made with raw data lakes – Delta lakes to the rescue

April 30, 2020, 9:30 AM IST

Anticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Saurabh Gupta, Anirban Ghatak and Vijayananda on a live webcast: ‘Promising calmer waters: Common mistakes made with raw data lakes – Delta lake to the rescue!’ on Thursday, April 30, 3:00 to 4:30 PM(IST).

For years, enterprises have dumped data into their data lake and deferred organizing the data until later. To make this data useful for analytics, the data must be carefully structured and catalogued. And as more data is rapidly introduced, from log files and IoT sources, it must also be structured in the same way. Delta Lake on Data bricks provides a way to streamline these data pipelines so the data is instantly available for analysis.

Register now to listen to Saurabh Gupta present his views on how data lakes has become an integral part of enterprise digital transformation. Saurabh will also explain how delta lakes can overcome traditional data lake challenges.

Anirban will explain the power of Delta lake and how we can prevent a data lake to become a data swamp. Understand how delta lakes bring reliability to data lakes. Learn how delta lakes provide ACID transactions, unifies streaming and batch data processing. Get an overview about Spark’s metadata management in delta lake

Key takeaways:

  • What are the fundamental differences between a primary and a secondary data lake?

  • What the pre-conditions pertaining to a healthcare domain before the data enters into a delta lake?

  • Are there aspects in a delta lake that are unique to healthcare domain?


Anirban Ghatak

Senior Consultant (Data Science and Big Data Engineering), StackRoute

Saurabh Gupta

General Manager Data Science and Analytics, Michelin India

Vijayananda J

Fellow, AI and Data Science, Philips Research

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