Treasure Data Achieves Google Cloud Ready
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MOUNTAIN VIEW, Calif. — Treasure Data, the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI, today announced that it has successfully achieved the Google Cloud Ready – BigQuery designation.
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Google Cloud Ready – BigQuery is a partner integration validation program that intends to help increase customer confidence in partner integrations into BigQuery, Google Cloud's autonomous data-to-AI platform. As part of this initiative, Google Cloud engineering teams validate partner integrations into BigQuery in a three-phase process: Run a series of data integration tests and compare the results against benchmarks, work closely with partners to fill any gaps, and refine documentation for mutual customers.
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Treasure Data's Intelligent CDP, powered by AI, helps global enterprises increase revenue, reduce costs, and deliver hyper-personalized connected experiences at scale. Treasure Data was named a B2C CDP Leader by independent analyst firms such as Forrester and IDC, and powers customer engagement for over 80 Global 2000 companies, including AB InBev, Nestlé, Stellantis, and Yum! Brands.
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With this integration, Treasure Data can extract data from Google Cloud's BigQuery, transform it using SQL or Python, and load it into Treasure Data for advanced analytics. This process centralizes BigQuery data within Treasure Data for unified access and analysis. Data from Treasure Data can also be synced back into BigQuery or other tools to activate data across various platforms.
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Additionally, Treasure Data's Live Connect includes a zero-copy integration with BigQuery, allowing customers to access and utilize BigQuery data without the need for ETL processes, reducing compute costs while retaining security and governance. Customers have the flexibility to choose whether or not to persist a copy of the data within Treasure Data's CDP.
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By earning this designation, Treasure Data demonstrates that it has proven its product(s) have met a core set of functional and interoperability requirements when integrating with BigQuery. This designation allows Treasure Data customers to have confidence that the Treasure Data products they use today work well with BigQuery or save time on evaluating them, if not already using.
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The Google Cloud Ready – BigQuery designation provides Treasure Data with more opportunities to collaborate with Google Cloud's partner engineering and BigQuery teams to develop joint roadmaps.
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'Our collaboration with Google Cloud continues to unlock new levels of agility and insight for our customers,' said Rafa Flores, Chief Product Officer at Treasure Data. 'We're eliminating data silos and accelerating activation across the board. It's an exciting step toward a more connected, real-time experience, one where marketers and data teams can finally speak the same language. This is part of Treasure Data's ongoing commitment to delivering intelligent CDP capabilities that align closely with how companies already manage and govern data in their cloud ecosystems especially as AI is on the rise, as is the need to build on a reliable data and AI layer you can trust.'
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