Gartner states that by 2022, 90% of corporate strategies will mention analytics as an essential competency. This indicates strong ambition towards data analytics excellence. However, when it comes down to execution, most leaders get stalled by the data accessibility and data quality. With Snowflake, businesses can now leverage the scalability of a data warehouse and the processing speed of a data lake all- at one place in a hybrid data lake. Implementing hybrid data lakes can help your organization fulfil business demands seamlessly amid the ever-growing data volume and diversity.
Watch the on-demand webinar to learn:
Why data-driven companies are cloud-fuelled
Essential components for a cloud data warehousing strategy
How to combine a cloud data warehouse with a data lake effectively
Potential challenges while combining a cloud data warehouse with data lake and ways to mitigate
About the Speakers:
Director – Enterprise Data & Insights, Compunnel Digital
Srinivasa Jallu possesses 18+ years of experience in Software Development, Big Data Design, Data Analytics, Data Science, Artificial Intelligence, and Machine Learning. He has led data projects for many Fortune 500 companies. His expertise in the data space is second-to-none, and with his depth of experience working with offshore and remote teams, he’s uniquely qualified to help organizations navigate the new normal.