Splunk’s Hunk 6.1enables faster analytics for Hadoop and NoSQL Data Stores
Splunk Inc. announced version 6.1 of Hunk: Splunk Analytics for Hadoop and NoSQL Data Stores. Hunk 6.1 makes it even faster and easier to turn raw, unstructured data in Hadoop and NoSQL data stores into business insights. Accelerated reports in Hunk significantly improve reporting times, while interactive dashboards deliver rich self-service analytics without fixed schemas or the need to move data.
Hunk 6.1 contains significant new and updated product features to help organizations unlock the business value of data in Hadoop and NoSQL data stores. Splunk Virtual Index, a patent-pending technology that decouples the storage tier from the data access and analytics tiers enabling Hunk to route requests to different data stores. It also includes report acceleration which transparently cache search results in Hadoop, improving reporting response times and performance without moving data, and drives efficient utilization of Hadoop resources – as the amount of data grows and the number of queries increases.
Hunk 6.1 also builds interactive dashboards and charts with a new dashboard editor to deliver enhanced analytics experience with charting overlay, pan-and-zoom controls and in-dashboard drill downs, and embeds Hunk charts and dashboards into common third-party business applications. It also streams Resource Libraries which enables developers to stream data from NoSQL and other data stores, such as Apache Accumulo, Apache Cassandra, MongoDB and Neo4j, for exploration, analysis and visualization in Hunk.
Hunk 6.1 offers support for multiple file formats which automates access to text files, sequence files, Record Columnar Files (RCFile), Optimized Row Columnar (ORC) files and Parquet columnar files. It also features pass-through authentication which enables submission of MapReduce jobs and secure access to Hadoop clusters using the authenticated credentials and roles assigned by IT.
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