As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated ...
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As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and ...
Paraphrasing Garrison Keillor, it's been a quiet week in the Apache Spark community - at least compared to last year, where the definitive Spark 2.0 was unveiled. Last week, Spark Summit pulled into ...
Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...
In the worlds of Big Data, NoSQL and relational databases, Splice Machine's name doesn't come up that often. But a closer look at the company's product, architectural approach and CEO put them on my ...
A brief introduction to Spark MLlib's APIs for basic statistics, classification, clustering, and collaborative filtering, and what they can do for you You’re not a data scientist. Supposedly according ...
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