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What is Streaming Data? | IBM

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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 stewardshipAnnie BadmanMatthew KosinskidatasetsdataInternet of Things (IoT)data-driven decision-makingdata analysisbusiness intelligence (BI)big databig data analyticsartificial intelligence (AI)machine learningIBM Privacy Statementbatch processingGo to episodeData integrationdata visualizationdata storagedata compliancedata lakesdata lakehousesdata warehousedata fabricLearn more about the difference between data lakes, lakehouses and warehousesapplication programming interface (API)automationfraud detectionpreventive maintenancecybersecurityAI modeldata pipelinesopen sourceLearn more about Apache Kafkapredictive maintenanceLearn more about Apache FlinkLearn more about Apache Sparkdata privacypersonally identifiable informationthe General Data Protection Regulation (GDPR)California Consumer Privacy Act (CCPA)data governanceAnnie BadmanMatthew KosinskiNews 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 DataOps solutionsExplore StreamSetsDiscover analytics servicesExplore IBM streaming data integrationExplore data integration solutions"Gartner Survey Finds 61% of Organizations Are Evolving Their D&A Operating Model Because of AI Technologies,"

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