Hive's SQL-like query language and vastly improved speed on huge data sets make it the perfect partner for an enterprise data warehouse Apache Hive is a tool built on top of Hadoop for analyzing large ...

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 ...

Thank heaven for Hive, a data analysis and query front end for Hadoop that makes Hadoop data files look like SQL tables Apache Hive is a specialized execution front end for Hadoop. Hive lets you write ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

Enterprise customers report that queries are a significant portion of their analytics workloads, and the performance of these workloads is critical to their big data success. Inefficient queries can ...

Who rules the ring when it comes to Hadoop SQL query engine performance? Can flashy newcomers like Presto and Spark take an established giant like MapReduce to the matt? Comcast recently held a ...

Lantu Automotive initially built its data platform architecture around Hive and Clickhouse, where vehicle data and embedded data from the vehicle were transmitted to the Lantu cloud gateway. The ...

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