Smita Sinha

The increase in volume, velocity, and variety of data, combined with new analytics and machine learning, has created the need for an open data lake…

The Data Lake Summit 2020 has come to an end! The two-day virtual summit took a deeper dive into the latest trends around data analytics,…

What an epic first day it has been for The Data Lake Summit. We hope you enjoyed Day 1 of the Data Lake Summit. The…

The wait is finally over! The Data Lake Summit, the definitive virtual conference for all things data lake, kicks off today. Hosted by Qubole, in…

With just a week to go, we are excited to announce the keynote speakers for The Data Lake Summit, the definitive virtual conference for all…

Cloud data lakes are enabling new business models and near real-time analytics to support better decision-making. However, as the number of workloads migrating to cloud…

Running ad hoc analytics, streaming analytics, and machine learning workloads in the cloud offer unique cost, performance, and time to value advantages. But the unpredictability…

Today’s applications for machine learning and real-time predictive analytics require a robust set of capabilities from the underlying data platform. These must meet the growing…

Artificial Intelligence and machine learning workloads leverage multiple data formats that are a combination of batch and real-time and require scalable computing resources. Leveraging data…