CnC_Earth-Day_4-speakers_Ep.152

AI for a Greener Future: Tackling Climate Change with Artificial Intelligence

On this special edition of our Cloud N Clear podcast, SADA’s Miles Ward, CTO, and Michael Ames, Managing Director of Vertical Markets at SADA, are joined by Google’s Antonio Lobato, Engineering Manager, and Chad Jennings, Senior Product Manager for a segment about climate change. Listen and learn how artificial intelligence is being used to tackle […]

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Security Operations

Checklist: Your daily, monthly, and yearly security operations best practices

Managing ongoing security practices is a tremendous responsibility for any organization. It’s been about a year since Google announced their “Security Operations Center (SOC) of the Future” initiative, and ever since, SADA’s Cloud Security Confidence team has developed a variety of best practices to help SecOps Directors manage their daily, monthly, and yearly responsibilities.   A

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Engineering Blog: Data warehouse, data lake, delta lakes, and multicloud data

Data warehouse, data lake, delta lakes, and multicloud data with Google Cloud’s BigLake

Learn about BigLake, a storage engine (built on years of investments in the BigQuery platform) that promises to unify data lakes and data warehouses by providing fine-grained access controls across multi-cloud storages such as Google Cloud Storage, Amazon S3, and Azure Data Lake Storage (ADLS) gen 2 in open file formats such as AVRO, ORC,

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Unlock Efficiency And Creativity with Big Query, SQL, and AI

Unlock Efficiency and Creativity with Big Query, SQL, & AI | Cloud N Clear

What do you get when four #cloudleaders, who all just so happen to be musicians, sit down for an engaging conversation about #BigQuery, #AI, #SQL, and more? 🤖 A jam-packed SADA #CloudNClear episode with exclusive insights! 📻 In this podcast episode, we hear from Miles Ward, CTO at SADA, and Michael Ames, Managing Director, Vertical

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Ocient enhances customer value with scaled Google Cloud Marketplace integration

A billion here, a billion there, and soon you’re talking about real numbers. What if the number of records you had to analyze in your database or data warehouse was not in the billions but in the trillions?   “Our customers are collecting more and more data, both from their organizations and from external sources,” says

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