“Tableau's goal is always to make connecting to data as simple and fast as possible and a big part of that is offering direct connectivity to a wide variety of data sources,” said Dan Jewett, Vice ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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In a recent paper, researchers introduced Flare, a back-end for Spark that improves the framework’s performance closer to that of the top SQL query engines for relational and machine learning ...

Hortonworks says the latest version of its Hadoop platform will allow users to extract information from petabyte-scale datasets far more rapidly and simply. Hortonworks Data Platform 2.2, due for ...

Spark has grown rapidly over the past several years to become a significant tool in the big data world. Since emerging from the AMPLab at the University of California at Berkeley, Spark adoption has ...

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade! Today AtScale released its Q4 ...

Hortonworks Inc. yesterday announced a new version of Apache Hive, the open source data warehouse software running on top of Hadoop, with new SQL query features and performance improvements. Hive, ...