WelcomeOverviewModern data stackAI-ready dataAI data managementOverviewDataOps frameworkDataOps architectureOverviewStructured vs. unstructured dataMetadata managementDatasetsOverviewOverviewSQLPrimary keyNoSQL databasesOLTPVector databasesDatabase as a service (DBaaS)CAP theoremDatabase schemaMongoDBPostgreSQLRedisElasticsearchOpenSearchetcdCassandraApache HBaseCouchDBPrestoQuery optimizationEntity relationship diagramOverviewOverviewData martOverviewDelta lakeApache icebergAWS data lake formationOverviewCloud data lake, data warehouse and data martMaster data management (MDM)OverviewData fabricData meshData modelingOverviewData acquisitionDirected acyclic graphData cleaningData reconciliationData validationData enrichmentData wranglingData virtualizationData automationData orchestrationFile transferData migrationStreaming dataOverviewETLELTChange data captureReal-time data integrationCloud data integrationData interoperabilityData integration techniques and methodsOverviewData retrievalData ingestionOLAPStream processingUnstructured data processingReal-time data streamingOverviewOverviewHDFSMapreduceApache AvroApache RangerOverviewChief Data Officer (CDO)OverviewData literacyData marketplaceData optimizationData modernizationData reductionData silosData strategyData SLAData fragmentationOverviewData quality managementOverviewData accuracyData integrityData reliabilityOverviewData observabilityBad dataDark dataDirty dataAI data qualityOverviewData stewardshipopen sourceNoSQLRedissolid-state drive (SSD)latencyIBM Privacy StatementNoSQLMongoDBPostreSQLGo to episodeRedis SentinelRedis Clusterpublish and subscribe (Pub/Sub) commandspersistent disk storagenetworkMongoDBartificial intelligence (AI)machine learningRedis Desktop Manager (RDM)follow the setup instructions in the communityReport
The data leaders guide to AI-ready data 2026
Actionable steps you can take to get your organization's data AI-ready.Webinar | On demand
AI Agents run on data - is yours ready?
Your data is your competitive edge. Learn how to unlock it securely and drive measurable ROI from AI in this short webinar.
Watch nowTechsplainers Podcast
Data management explained
Techsplainers by IBM breaks down the essentials of data for AI, from key concepts to real‑world use cases. Clear, quick episodes help you learn the fundamentals fast.
Listen nowEbook
Unify and access your data to help scale your AI
Learn why the path to AI-ready data often starts with effective access to both structured and unstructured data and the challenges that can impede data leaders.
Read the ebookCase study
Legal overhead turned into strategic insight
Learn how an AI-powered legal agent helps accelerate decision-making, reduce manual work and improve compliance.
Read the case studyVideo
AI Academy: Building a data strategy for enterprise AI
In this episode, Cathy Reese explains how organizations today need a data strategy that’s ready for advanced AI, which will require them to harness their highest quality data assets.
Watch the episodeEbook
The hybrid, open data lakehouse for AI
Simplify data access and automate data governance. Discover the power of integrating a data lakehouse strategy into your data architecture, including cost-optimizing your workloads and scaling AI and analytics, with all your data, anywhere.
Read the ebookReport
Cost of a Data Breach Report 2025
Data breach costs have hit a new high. Get up-to-date insights into cybersecurity threats and their financial impacts on organizations.
Read the reportGuide
The data leader’s guide to AI-ready data
Understand the actionable steps data leaders can take to overcome data challenges, establish the groundwork for a trusted data foundation and help get your organization’s data ready for AI.
Read the guideReport
How the C-suite is turning information into impact
Explore insights from 1,700 CDOs in this cross-industry report for data leaders.
Read the reportDiscover watsonx.dataDiscover data management solutionsExplore data and AI consulting servicesDiscover watsonx.dataExplore data management solutions
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