{"id":29931,"date":"2022-07-26T06:00:00","date_gmt":"2022-07-26T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=29931"},"modified":"2022-07-25T12:38:19","modified_gmt":"2022-07-25T19:38:19","slug":"ocient-releases-the-ocient-hyperscale-data-warehouse-version-20-to-optimize-log-and-network-metadata-analysis","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/07\/26\/ocient-releases-the-ocient-hyperscale-data-warehouse-version-20-to-optimize-log-and-network-metadata-analysis\/","title":{"rendered":"Ocient Releases the Ocient Hyperscale Data Warehouse version 20 to Optimize Log and Network Metadata Analysis"},"content":{"rendered":"
\n
\"\"<\/figure><\/div>\n\n\n

Ocient<\/a>, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time,\u00a0released version 20 of the Ocient Hyperscale Data Warehouse. New features and optimizations include a suite of indexes, native complex data types, and the creation of data pipelines at scale to enable faster and more secure analysis of log and network data for multi-petabyte workloads. Customers in telecommunications, government, and operational IT can now use Ocient to find needle-in-the-haystack insights across a broad set of uses cases including call detail record (CDR) search, IP data record (IPDR) search, Internet connection record (ICR) search, and content delivery network (CDN) optimization.<\/p>\n\n\n\n

Ocient introduced a new suite of indexes to further enhance the cost-effective performance at scale delivered by its Compute Adjacent Storage Architecture. Ocient\u2019s new suite of indexes includes N-gram indexes to accelerate searching text data such as URLs and log messages for hyperscale log and network analysis. With up to 40 times performance gains on these workloads, network analysts can work with multi-petabyte datasets faster to find and diagnose issues and predict future issues or outages within hyperscale distributed networks while cutting systems and operational costs by up to 80%.<\/p>\n\n\n\n

\u201cIndustries such as telecommunications, government, and operational IT generate massive multi-petabyte log data that must be analyzed in real time for performance monitoring, business insights, and compliance with industry regulations. The volume of data combined with the requirement to instantly ingest, perform analytics, and deliver insights on that data is challenging legacy systems and creating a new class of hyperscale analytics systems purpose-built to meet such stringent requirements,\u201d said David Menninger, SVP and research director, Ventana Research.<\/p><\/blockquote>\n\n\n\n

Ocient\u2019s version 20 release includes additional features to enhance performance, streamline data integration, create data pipelines at scale, and consolidate data movement for improved security. These features include:<\/p>\n\n\n\n