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Big data, machine learning, data science — the data analytics revolution is evolving rapidly. Keep your BA/BI pros and data scientists ahead of the curve with the latest technologies and strategies for data analysis.
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Micron overhauled its data management strategy, embedding crack teams of data scientists within an array of business units. Here’s how that centralized strategy has delivered impressive results.
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For the last decade, Greg Boorer has not had a lot of sleep.
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Out in mining country the distances are long and the reception is lousy. It’s the last place you’d want a bus carrying a service crew to breakdown.
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The new Databricks for Data Engineering edition of the Apache Spark-based cloud platform is optimized for combining SQL, structured streaming, ETL and machine learning workloads running on Spark.
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By automating costly and time-consuming data engineering tasks associated with business intelligence on Hadoop, Jethro aims to accelerate BI queries.
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The cloud provider unveils a big data platform as a service (PaaS) offering built on the MapR Converged Data Platform.
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IBM has unveiled IBM Machine Learning, a new cognitive platform that brings the power of machine learning to z System mainframes and eventually IBM POWER System.
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These 15 predicted trends will shape the big data and analytics market in 2017.
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Google continues to strengthen G Suite with the addition of enterprise-specific tools designed to offer data loss prevention, business insights and better security key controls.
