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…
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…
The history of the software industry is littered with examples of data management companies that lock customer data into their proprietary systems, and then go…
All data-driven organizations use data in three ways: To report on the past To understand the present To predict the future Data warehouses and Business…
To our valued customers and partners, I hope all of you, your colleagues, families, and friends are safe and healthy and practicing social distancing in…
As a best practice, we recommend users create a few large Presto clusters that are shared between different teams, instead of creating multiple small clusters…
Lyft’s recent IPO filings revealed a snapshot of the company’s staggering cloud costs. According to the filing, Lyft is contractually obligated to pay at least…
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