Get Started with the Ocient Data Intelligence Platform

the is built to support analytics and ai workloads on petabyte to exabyte scale data sets designed for both human users and ai agents, the platform enables organizations to query, analyze, and act on large scale data directly — without distributing workloads across multiple systems modern data architectures often separate data warehouses, data lakes, machine learning platforms, and other systems, requiring data movement and complex pipelines this fragmentation introduces latency, increases cost, and limits the ability of ai systems to operate reliably the data intelligence platform addresses this by unifying data ingest, analytics, and ai execution within a single platform, ensuring all workloads operate on consistent, current data with this unified approach, the ocient data intelligence platform delivers predictable performance, reduced infrastructure complexity, and a scalable foundation for real time analytics and production ai the ocient data intelligence platform exposes this unified platform through familiar interfaces such as sql, enabling humans and ai agents to query and act on data directly while the platform abstracts much of the underlying complexity, its performance and scalability are driven by a distributed architecture optimized for large scale data processing the following sections introduce the core concepts that define how data is stored, organized, and executed within ocient key concepts docid 04wzibwauwpzxdoolld5d core ocient concepts and terms needed for a quick start install an ocient system docid 9o0 zwocqxxw5w4rzsyda installation, upgrade, system configuration, maintenance, and monitoring of an ocient system connect to ocient docid\ bz8g2ykkd26fmwpywjbuu connection to ocient with jdbc and other drivers database administration docid\ lel4to1tb0yvvpqmltfpj overview of key database administration capabilities like workload management, result set caching, and managing users, groups, and roles load data docid\ lk7xyhhwzkwj32rx8p v2 loading and transformation capabilities, managing pipelines, transformation functions , and error handling query ocient docid\ rlskzzscthcwe12dnsehy overview of ocient data types and the components of a query core elements of an ocient system docid 3t15f0f lwnchdpzvlcx 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\ ntdu6jmn5tj143igbgvh sql command, function, operator, and keyword reference including ddl, dcl, and query reference connection driver reference docid\ ijk3g0wi1uyiv6renrq81 different sql client connectors machine learning in ocient docid\ oja43vqudjt25sfxl5iij walkthroughs to deploy various ml models integrated into ocient geospatial functions docid\ c xku2wubvnuz7vck rnl functions for analyzing geospatial data sets for ai tools start with https //docs ocient com/llms txt https //docs ocient com/llms txt for optimal content extraction for information about integrations and connections to third party applications and tools, see ocient integrations docid 8yfm g2lgskw sg3zw87v for a detailed explanation of the in ocient, design principles, storage capabilities, and query engine, see ocient architecture docid\ plaeqda8ax4tvbnj2rxbc for information on ingesting data using the legacy loading and transformation (lat) functionality, see ingest data with legacy lat reference docid\ ojlxwqbiokfcar alnhuo