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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Both are extremely fast at the simple tasks they are designed for — retrieving individual values or whole documents — and that speed is largely unaffected by bursts of data. Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost.

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Data News — Week 23.12

Christophe Blefari

Out of the box Mage provide all-in-one web editor to write data pipelines with a great UX. In small browser text areas you will be able to write Python, SQL or R code and orchestrate theses transformations with drag-n-drop. Kestra is a YAML-based data pipeline tool mixed with string templating.