How MassMutual is evolving a data culture w/ Vertica & home-grown ingest engine

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Presented by

Michael Roche, Mark Burke and Joe Gonzalez, MassMutual

About this talk

MassMutual selected Vertica as their corporate Enterprise Data Warehouse in 2019. It was part of a three-year project to create a company-wide data platform for various internal customers. This presentation will describe MassMutual’s new and evolving end-to-end process for feeding batch and streaming data into Vertica, and providing fast analytics and reporting. With an Amazon S3 data lake, the solution provides data standardization and enrichment, enforces column level encryption using Voltage and separates platform and application level concerns to realize self-serve. Learn how the IT organization has delivered this platform and what how it is looking to extend it further.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.