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How Gupshup built their multi-tenant messaging analytics platform on Amazon Redshift

AWS Big Data

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Data is at the core of any ML project, so data infrastructure is a foundational concern. This approach is not novel. Versioning.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

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