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Streaming SQL in Data Mesh

Democratizing Stream Processing @ Netflix By Guil Pires, Mark Cho, Mingliang Liu, Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform. When a user …

Apache Kafka and Apache Flink: An open-source match made in heaven

In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. Customers are moving quickly, and it is becoming difficult to keep up with their dynamic demands. As a result, I see access to real-time data as a …

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Best of both worlds: Achieving scalability and quality in text clustering

Posted by Sara Ahmadian and Mehran Kazemi, Research Scientists, Google Research Clustering is a fundamental, ubiquitous problem in data mining and unsupervised machine learning, where the goal is to group together similar items. The standard forms of clustering are metric clustering and graph clustering. In metric clustering, a given metric space defines distances between data …

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Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

There’s a kind of magic that surrounds a soccer shot so powerful, it leaves spectators, players, and even commentators in a momentary state of awe. Think back to a moment when the sheer force of a strike left an entire Bundesliga stadium buzzing with energy. What exactly captures our imagination with such intensity? While there …

Data analytics in the age of AI: How we’ve enhanced our data platforms this year

AI is already having a profound impact on how organizations operate. The power of AI allows you to reimagine what you do, how you do it and who you do it for. For many companies it feels like they’re just one step away from using AI to start solving real business problems — they just …