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The Spark-to-Ray Migration That Will Save Amazon $100M+ Per Year

When Ray first emerged from the UC Berkeley RISELab back in 2017, it was positioned as a possible replacement for Apache Spark. But as Anyscale, the commercial outfit behind Ray, scaled up its own operations, the “Ray Read more…

Anyscale Nabs $100M, Unleashes Parallel, Serverless Computing in the Cloud

With a fresh $100 million in the bank and $1 billion valuation, UC Berkeley’s RISELab alum Anyscale is now set to scale up its business as the latest data unicorn. The company also announced the general availability of Read more…

In Homomorphic Encryption We (Must) Trust

Just as we were on the cusp of achieving god-like powers with advanced analytics and machine learning on large pools of data, along come privacy laws like GDPR and CCPA to kill the buzz. But thanks to the emergence of ho Read more…

Why Every Python Developer Will Love Ray

There are many reasons why Python has emerged as the number one language for data science. It's easy to get started and relatively forgiving for beginners, yet it's also powerful and extensible enough for experts to take Read more…

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