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What Is a Data Warehouse? | IBM

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WelcomeOverviewModern data stackAI-ready dataAI data managementDataOps frameworkOverviewStructured vs. unstructured dataMetadata managementDatasetsOverviewOverviewSQLPrimary keyNoSQL databasesOLTPVector databasesDatabase as a service (DBaaS)CAP theoremDatabase schemaMongoDBPostgreSQLRedisElasticsearchetcdCassandraApache HBaseCouchDBPrestoEntity 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 automationFile transferData migrationStreaming dataOverviewETLELTChange data captureReal-time data integrationOverviewData ingestionOLAPStream processingUnstructured data processingOverviewOverviewHDFSMapreduceApache AvroApache RangerOverviewChief Data Officer (CDO)OverviewData literacyData marketplaceData modernizationData reductionData silosData strategyData SLAOverviewOverviewData accuracyData integrityData reliabilityOverviewData observabilityBad dataDark dataOverviewData stewardshipJim HoldsworthMatthew KosinskiAlexandra Jonkerdataextract, transform and loadextract, load, and transformcleanbusiness intelligence (BI)transactional systemscustomer relationship management (CRM)Self-service analyticsInternet of Things (IoT)big dataLatencydata lakehousestransform dataautomationstructured datadata lakesonline analytical processing (OLAP)relational databasesdata miningforecast planningOnline transaction processing (OLTP)workflowdata engineeringIBM Privacy StatementMassively Parallel Processing (MPP)Symmetric Multiprocessing (SMP)data securitydata privacycloud computingdata storagesoftware as a service (SaaS)data centerCommon misconceptions about cloud data warehousesworkloadsschemasdata modelsnormalizedApache SparkELT vs. ETL: What’s the difference?application programming interfaces (APIs)data pipelinesdata governanceMetadatadata governancedata managementdata visualization toolsTableauGo to episodedata martDeep dive: Data warehouses vs. data lakes vs. data lakehousesdatabasedata lakebig dataApache Hadoopdata lakehouseunstructuredreal-time datamachine learningdata scienceartificial intelligence (AI)structured query language (SQL)data qualitydata cleansingdeduplicationaccuracyintegritydata silosgenerative AIfine-tunebusiness applicationsdatabasesobject storageworkload managementlakehousesETLELTdata cleansingdata governancedata observabilitydata qualitydata quality issuesdatabasedata storagebusiness intelligenceData engineerschief data officerdata strategydata managementbusiness intelligencesemantic layersdata governancedata qualitysecurityAlexandra JonkerJim HoldsworthMatthew KosinskiReport Increasing AI Adoption with AI-Ready Data Gain actionable insights on how to invest in AI technology for data and preparing data for AI. 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