WelcomeOverviewModern data stackAI-ready dataAI data managementOverviewDataOps frameworkDataOps architectureOverviewStructured vs. unstructured dataMetadata managementDatasetsOverviewOverviewSQLPrimary keyNoSQL databasesOLTPVector databasesRAG vector databasesDatabase as a service (DBaaS)CAP theoremDatabase schemaMongoDBPostgreSQLRedisElasticsearchOpenSearchetcdCassandraApache HBaseCouchDBPrestoQuery optimizationEntity relationship diagramOverviewOverviewData martOverviewDelta lakeApache icebergAWS data lake formationOverviewFeature storeCloud data lake, data warehouse and data martMaster data management (MDM)OverviewData fabricData meshData modelingOverviewAgentic AI data engineeringData acquisitionOverviewData pipeline automation10 steps for automating data pipelinesDirected acyclic graphData cleaningData reconciliationData validationData enrichmentData wranglingData virtualizationData automationData orchestrationFile transferData migrationStreaming dataOverviewETLELTChange data captureReal-time data integrationCloud data integrationAI data integrationOverviewData contractData 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 stewardshipAlexandra JonkerJudith Aquinobatch processingdatasetsInternet of Things (IoT)real-timefraud detectionpredictive analyticsdatalow-latencystreaming dataEvent streamingartificial intelligence (AI)machine learningReal-time databatchanomaly detectionhybridmulticloudrelational databasesdata lakesenterprise applicationspipelineextract, transform, load (ETL)Researchnetwork optimizationdata processingdistributed computingmodel accuracyIBM Privacy Statementintegrate diverse datareal-time analyticsrecommendation enginessupply chainsdata engineeringApache KafkadatasetsGo to episodedata ingestion.enrichedbig datadata integrationmicroservicesapplication programming interfaces (APIs)decision-making.JavaschemasHadooppredictive maintenanceIBM Institute for Business Valuemitigate risk.churn riskdata-driven decision-making.grocery retailerdata pipelinesSQLopen sourceevent streamingJudith AquinoAlexandra JonkerNews
IBM and Confluent deliver real‑time data for AI agents
Together, IBM and Confluent turn continuously flowing data into trusted, governed action across hybrid environments.
Read the announcementWebinar | 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 nowGuide
Is your data ready for gen AI?
Explore our IBM Data Matters hub to learn how you can tackle data and AI challenges like integration.
See why Data MattersCase study
Streamlining and evolving fraud investigations with AI
Discover how Cogniware leverages AI solutions from IBM to drive efficiency in the financial crime space.
Read the case studyEbook
Unleash the power of AI for seamless data integration
Understand why organizations need to adopt a unified approach that lets them manage the full spectrum of integration capabilities from a single pane of glass, eliminating the need to rely on numerous tools.
Download the ebookReport
Unlock the value of real-time streaming data for AI
Explore how to modernize your data stack, eliminate costly delays, and build a future-ready foundation for both AI and everyday operations.
Read the reportReport
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 reportReport
IBM named a leader in Worldwide Data Integration Software Platforms 2025 Vendor Assessment
Read the IDC MarketScape: Worldwide Data Integration Software Platforms 2025 Vendor Assessment to learn why IBM was named a leader.
Read the reportWebinar | On demand
Bridging the data engineering skills gap
Watch the webinar to get an exclusive look at three IBM watsonx.data integration authoring styles and the innovation driving our roadmap.
Watch nowReport
IBM named a Leader in the 2025 Gartner Magic Quadrant for Data Integration Tools
Access the full report to learn why IBM is recognized as a Leader
Download the reportExplore watsonx.data integrationExplore data integration solutionsExplore data and AI consulting servicesExplore IBM streaming data integrationExplore data integration solutionsEmory University Hospital explores ‘intensive care unit of the future’
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