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Simplify data lake management at scale with DataOps — a new paradigm taking software engineering principles of source code repositories and treating your data as code. Watch this webinar to learn new capabilities for data lake management as we discuss DataOps best practices.
The open-source Project Nessie enables enterprises to improve DataOps by controlling consistent versions of data in the lakehouse.
The SQL lakehouse is a subset of cloud data platforms to simplifies support for high-performance BI workloads. Read this blog to learn about the SQL lakehouse.
Cloud migrations present a circuitous and thorny path in the best of circumstances. This blog introduces guidelines for architects and data engineers to plan and execute successful migrations.
What’s the best measure of success for data pipeline efficiency? This blog charts the rise of business intelligence (BI) on the cloud data lake, explained its appeal from an architectural and performance perspective, and recommended ways to design effective data lakes for BI.
Innovative data science, and the data volumes and varieties it requires, find a natural home in the data lake. But the latest generation of cloud-native data lakes also hosts a rising share of mainstream business intelligence (BI) projects.
