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Data Lakes and Analytics on Cloud


For years, companies have dumped data into their data lake and deferred organizing the data until a later period. To make this data useful for modern analytics, the data must be carefully structured and cataloged. And as more data is rapidly introduced, from log files and IoT sources due to volume, velocity, and variety, data must also be structured in the same way in the data lake. Delta Lake on Databricks provides a way to streamline these data pipelines so the data is instantly available for analysis.

Anirban Ghatak 

Scalable Machine Learning on Big Data using Apache Spark

About the Webinar:

Predictive Intelligence from Machine Learning (ML) has the potential to change everything in our day to day experiences, from business to leisure – making a huge difference in the way we live, work and play. Most real-world machine learning work involves very enormous – simply huge data sets that go beyond just the CPU, memory, and storage limitations of a single computer. Spark has been the go-to solution for enterprises that have to process extremely large data sets in an efficient and cost-effective manner.

Anirban Ghatak 

Promising calmer waters

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

Anirban Ghatak,  Saurabh Gupta,  Vijayananda J 

Value Discovery through Analytics

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 Nagendra Prasad, Anirban Ghatak and Sudeep Prasad on a live webcast on “Value Discovery through Analytics” Monday, April 20 | 8 pm - 9 pm IST.

R Nagendra Prasad,  Sudeep Prasad,  Anirban Ghatak 

Deliver quality healthcare through data-driven medicine:

Why should you use Databricks for your next Healthcare analytics project?

Ravi Ramaswamy,  Anirban Ghatak