Get Started with the Ocient Hyperscale Data Warehouse

the {{ocienthyperscaledatawarehouse}} is a data warehouse for running analytics against very large and complex data sets it is designed to be cost effective and flexible in its deployment options built using standard ansi sql, {{ocient}} does not require users to spend time and money learning unfamiliar programming languages, and with industry standard interfaces like sql and jdbc, ocient makes it easy for organizations to interact with data using commodity hardware, ocient can be deployed on premises in a data center, in the cloud, or as a fully managed service in the {{ocientcloud}} in addition to being flexible and cost effective, ocient is designed to be extremely fast and scalable with large data sets traditional relational databases, even those designed for analytics, do not scale from a cost or performance perspective to accommodate extremely large data sets big data solutions can scale to use large data sets, but are often expensive, complex, inflexible, and take too long to execute queries ocient is designed to give users the interactive analysis capabilities of traditional relational databases at the scale of big data solutions, and with a significantly smaller footprint this means that queries that used to take hours, or not run at all, now execute in seconds, and systems that used to fill up multiple data center racks, now require up to 90% less space and energy ocient also supports real time analytics, traditional olap workloads, geospatial analysis, and in database machine learning and ai by enabling users to perform all of these tasks on a single data platform, ocient eliminates additional data movement and enables organizations to operate at a scale that was previously impossible or impractical key concepts docid\ clvgrq6xmzx3comgaluij core ocient concepts and terms needed for a quick start install an ocient system docid\ clmx7aipvis6ctybuagzx installation, upgrade, system configuration, maintenance, and monitoring of an ocient system connect to ocient docid\ lb5x4qrnpht6m9v2evhuc connection to ocient with jdbc and other drivers database administration docid\ ib7arrqxuu1b44erzeoij overview of key database administration capabilities like workload management, result set caching, and managing users, groups, and roles load data docid\ qxg07ea5hv1vxat6neyg loading and transformation capabilities, managing pipelines, transformation functions , and error handling query ocient docid\ pj83zadmfz4dqseq5on7n overview of ocient data types and the components of a query core elements of an ocient system docid\ mw cl16ivsflmrdqgwtk6 overview of ocient system design and architecture t hese sections outline the capabilities of ocient for data ingestion, transformation, and advanced analytics ocient sql supports integrated libraries for geospatial analysis and machine learning tools sql reference docid\ ulddmgdefqwa9p 2dqlz sql command, function, operator, and keyword reference including ddl, dcl, and query reference connection driver reference docid\ n6yul unbc7zhytdd319f different sql client connectors machine learning in ocient docid\ arh0cufpzx bd gw0248n walkthroughs to deploy various ml models integrated into ocient geospatial functions docid 3g3himioouxfpawod0fi0 functions for analyzing geospatial data sets for information about integrations and connections to third party applications and tools, see ocient integrations docid\ slds1ecb2mcriy 4z 6my for a detailed explanation of the {{casa}} in ocient, design principles, storage capabilities, and query engine, see ocient architecture docid\ uenyfszlp8 5np1v 7mbv for information on ingesting data using the legacy loading and transformation (lat) functionality, see ingest data with legacy lat reference docid\ luijhab6vyj6g1gn5bhth