DataOps enhances data engineering for data science at Moneysupermarket.com

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Presented by

Dave Poole, Data Solutions Architect, Moneysupermarket Group & Paige Roberts, Open Source Relations Manager, Vertica

About this talk

Data Operations is a methodology combining technological and cultural changes to improve data usage through better collaboration and automation. At Moneysupermarket.com, the DataOps approach is critical to meet the expectations of the business. Several important Vertica features facilitate the adoption of the DataOps culture and simplify the data engineer’s journey. DataOps with Vertica gets new data to data scientists promptly, so they can deliver maximum value to their organisation. Join our webinar to discover why Moneysupermarket.com adopted a DataOps approach!

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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, 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.