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What Is a DataOps Framework? | 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 stewardshipAlexandra JonkerEric JonesDataOpsdata managementDevOpsagile methodologiessoftware developmentIT operationscontinuous integrationcontinuous deliveryautomationdata productgovernedDataOps architectureDataOps toolsIBM Privacy StatementBig dataArtificial intelligencemachine learningdatasets.data silosdata lakesdata processingdata lifecycleWatch all episodes of Mixture of Expertsdata analyticsWorkflow orchestrationData governanceContinuous integrationcontinuous deploymentobservabilityworkflowsdata pipelinedata integrationdata ingestiondata storagetransformationaccurateconsistentsecureData quality managementquality of an organization’s datadata validationdata cleansingContinuous integrationcontinuous deploymentdata teamsunit testsintegration testsend-to-end testsobservabilityvisualizationlogs, events and metricsresource utilizationdata privacyGDPRdata engineeringdata scienceself-servicedata-driven decision-makingcontinuous improvementtoolsadvanced analyticsacquireddata modeleddata platformsdata warehousesdata lakesdata lakehousescompliantaccess controlsdata lineagemaster data management (MDM)metadataschemaAlexandra JonkerEric JonesEbook Accelerate your journey to AI with DataOps By using the power of automation, DataOps helps solve the issues associated with inefficiencies in data management, such as accessing, onboarding, preparing, integrating and making data available. Read the ebookEbook 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 ebookGuide Is your data ready for gen AI? Explore our Data Matters hub to learn how you can tackle data and AI challenges. See why data mattersEbook 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 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 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 nowCase 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 studyInsights 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. Read the insightsInsights From data chaos to AI clarity: Activating AI through high-quality enterprise data Understand how focusing on well-governed, secure, and collaborative access to data at scale empowers enterprises to maximize their AI investments. Read the insightsDiscover watsonx.dataExplore DataOps solutionsExplore data and AI consulting servicesDiscover watsonx.dataExplore DataOps solutionsGood practices for the adoption of DataOps in the software industry

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