The Data Lake Summit: Day 2 Recap
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,…
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…
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…
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…
“If you are a cloud adopter rapidly adopting cloud services, but not developing the finance governance muscle, you will certainly be visiting the cloud optimization…
Each month, about an exabyte of data is processed using Qubole’s data platform on Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure,…
Today marks an important day for the whole Qubole community—customers, partners, and employees—as we update our environments with the latest major product release “R54.” In…
Many companies start their big data cloud journey on Azure by testing Microsoft’s native offering HDInsight (HDI). With data already in Blob Storage or Azure…
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