AI Is Replacing Business Intelligence, and Dashboards Are the First to Go
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AI Is Replacing Business Intelligence, and Dashboards Are the First to Go Announcing Starburst AI & Datanova 2026 Why Context Helps Uncover Real MeaningWhy the Future of AI Relies on Conversation and ContextDemystifying Data Catalogs, Data Products, and Metadata ManagementWhy Data Lineage MattersWhat Data Teams Can Learn About ReadinessData PlaybooksStrategy First: Empowering the Business to Lead in the AI EraNo One Wins AloneWhat is the Semantic Layer?Benchmarking the JDBC Bottleneck in TrinoWhy Data Products and Lakehouses Work Better TogetherShould You Replace Your Cloud Data Warehouse?Getting Started with Apache Iceberg: A RoadmapTop Signs You’re Ready for a Data LakehouseWhat Challenges Does Federated Search Address?Starburst Galaxy: Building a Resilient, Multi-Cloud Managed Trino OfferingHow Does a Data Lakehouse Work?Data Mesh: What Happened?Understanding Managed Iceberg and Why You Need ItExtending Your Data Lakehouse to Include AzureHow Starburst Galaxy Uses Data Ingestion to Complement TrinoBest Practices for Optimizing Apache Iceberg PerformanceStarburst Enterprise Connects AI and Iceberg FunctionalityWhat Is a Data Product?Breaking the Data Barrier: Turning Compliance and Complexity into AlphaThe Vanishing Edge: Why Alpha Now Belongs to the Data‑IntelligentFederated data: How does a data lakehouse help?Comparing Trino Spooling Protocol Client Retrieval ModesFour Big Questions Enterprises Are Asking About AI and Modern Data PlatformsMy Journey with Starburst AI ToolsHow to Build Data ProductsWhat is Lakeside AI?Building Data Products for AI AgentsStarburst Integration with Unity CatalogHow AI Agents Consume Data ProductsHow Starburst Galaxy Helps Unblock AI ProjectsWhat is Vector Storage?The Rise of the Agentic Workforce: Data and AI Platform Enterprises can TrustThe Limits of Centralized Data ArchitecturesHow to Adopt AI in Your OrganizationFrom Amazon S3 to InsightsPrinciples for Building AI Data ProductsHow the Starburst AI Agent Delivers Data FasterUnpacking the EU Data ActBuilding Starburst Data Pipelines with SQL or PythonComparing Foundational Features of Trino, Hive & SparkLeveraging Iceberg is Easy with Starburst GalaxyHow Apache Iceberg Branching Transforms Data ManagementShaping Your Multi-Cluster Data Architecture with Starburst EnterpriseIceberg v3: Getting StartedIceberg Snapshots Affect Storage, Not PerformanceHow Table Maintenance Affects Iceberg SnapshotsVisualizing Iceberg Snapshot Linear HistoryWhy Data Federation is the Key to AIUnderstanding Data Ingestion ArchitectureThe dangers of the JDBC bottleneck in TrinoStarburst + dbt: The New Data StackHow Does AI Change Data Governance?Powering On-Premises and Hybrid AI Workloads with Iceberg Data ProductsStarburst File Ingest Builds Your Data Lakehouse Instantly From Amazon S3Why Unstructured Data is the Key to AI ValueStarburst File Ingest Builds Your Data Lakehouse Instantly From Amazon S3GenAI Requires an Open Data ArchitectureData Governance Drives Change in Financial ServicesHow to Avoid Data Access Bottlenecks When Using Trino On-premises AIStarburst + DatabricksHow data products help AI data governanceImproved Performance with Starburst ODBC Driver Version 3Enabling AI with Starburst EnterpriseStarburst integration with Amazon S3 TablesDell and Starburst continue to push the boundaries of AIApplications Are Dead: Long Live the Data‑Centric EnterpriseWhy Your Data Lakehouse Is the Core of Your AI StrategyStarburst & SparkThree truths about enterprise AIThe journey from Presto to Trino and StarburstAssembling your AI data strategyIcehouse experimentation and migrationUnderstanding data architectureGoogle Cloud Next 2025 + StarburstFaster data compliance and data sovereignty with Stargate ParallelWhy AI is only as good as the data that feeds itExploring Iceberg transactions and metadataGradually reducing data warehouse costs using an Icehouse architectureStarburst achieves AWS Financial Services Competency PartnerUnderstanding data analytics vs AICelebrating women’s contributions to technology with StarburstStarburst + Confluent TableflowWhy Trino is the PostgreSQL of analytics?Powered by Starburst: Dell AI Data Platform with NVIDIAThe file explosion problem in Apache Iceberg and what to do when it happens to youIntroducing the Trino spooling protocolWhy you should run frequent data architecture auditsWhy Apache Iceberg is gaining popularity in JapanHPE + Starburst: Setting the stage for the Active Data Lakehouse EraThe 3 foundations of an AI data architectureStarburst + AIWhat is Apache Spark?Racing for commits on Delta Lake tables using StarburstDo you have a data velocity problem?Are you making the most of your Hadoop cluster?How to do data centralization the right wayParquet and ORC’s many shortfalls for machine learning (ML) workloads, and what should be done about themHow Starburst secures your data in flight with AWSStarburst Enterprise Platform 462-e.1 LTS product release5 reasons why operating streaming ingestion as a service is difficultWhat is a data lake?How to identify and manage data silos5 ways to simplify ETL using SQLAnnouncing Streaming Ingest General Availability and Public Preview of File Loader in Starburst GalaxyAnnouncing SQL Engine Enhancements in Starburst Galaxy to Further Optimize Price-PerformanceHow AI and data analytics drive demand for relevant business dataWhat is Trino?Building data applications with Starburst Galaxy and TrinoApache Iceberg vs Delta Lake: What are the differences?Compute Cost Best Practices: How to Optimize Data Costs Across All ArchitecturesWhat is the best way to query Apache Iceberg tables?What’s New in Starburst Galaxy – August 2024Introducing Fast Warm-Up and Autoscaling to Warp Speed in Starburst GalaxyStarburst Galaxy’s Streaming Ingest Now in Public PreviewGenAI drives adoption of open data architectureSolving capacity management problems for Trino clusters, and how Starburst Galaxy makes it easyUsing Trino for Your Data TransformationsTransitioning from Hadoop to a modern lakehouse: The Dell Data Analytics Engine powered by StarburstBuilding an open and interoperable data lakehouse with Starburst GalaxyAnnouncing Starburst & Trino Support for Polaris Catalog for Apache IcebergBuilding a Strong Data Foundation: Insights from Citigroup’s Analytics LeaderGoverning data products at scale: Promoting collaboration between producers and consumersAutomated Table Maintenance for Apache Iceberg TablesUpgrading your SQL engine: The first migration pathway from Hadoop to Starburst3 Data Ingestion Best Practices: The Trends to Drive SuccessStarburst Enterprise Platform 443-e: Reviving advanced file caching with file system cachingWhat’s next for Trino5 Ways to solve the disparate data problem and drive business outcomesTransitioning from Hadoop to modern lakehousesStarburst Enterprise Platform 443-e.1 LTS product releaseWhat’s New in Starburst Galaxy – June 2024Launching a new data quality dashboard in Starburst GalaxyIntroducing data product usage examples in StarburstReal-world insights from Asurion: Data quality in practiceWhy Apache Iceberg will accelerate competition for compute enginesAdvanced Data Management: Trino, Hadoop, and AWS for a Robust LakehouseSnowflake, Databricks, Tabular, Iceberg, what does it all mean?3 Iceberg partitioning best practices to improve performanceEnhancing Apache Hadoop Data Management with Trino and StarburstWhat’s the difference between Apache Parquet vs AVROWhat’s the difference between batch vs streaming data processingTop 5 reasons to not adopt Apache IcebergRedefine tables within object storage connectors like Iceberg and Delta Lake without any downtimeUnlocking the power of Apache Iceberg: Tutorial seriesWhat’s an Icehouse: Icehouse 101What’s New in Starburst Galaxy – May 2024Reduce Snowflake compute costs with Starburst GalaxyIntroducing Enhancements to Starburst Galaxy’s AutoscalerWhy we need Hadoop alternativesThe Icehouse: An update on our commitment to the Open LakehouseWhy choose Apache Iceberg over Databricks’ Delta LakeWhat is data ingestion?Apache Hadoop vs Apache Spark: What are the Differences?Why an open source data architecture is the future of data analyticsWhat’s the difference between HDFS and S3?How AI can fail you and how to make sure it doesn’tIntroducing New Data Observability Features in Starburst Galaxy – Now in Public PreviewWhat’s New in Starburst Galaxy – April 2024Automating the “Icehouse” – Fully-managed Open Lakehouse Platform on Starburst GalaxyStarburst brings enterprise-grade SQL analytics to Google Distributed Cloud’s air-gapped solution for regulated customersIntroducing a new user experience in Starburst GalaxyWhat is Apache Hadoop (HDFS)?What is Apache Hive?What is a data pipeline?What is a Delta Lake?What is a data lakehouse?What is an open data warehouse?What is a data analytics architecture?2024 Data Rebel Award WinnersWhat is Apache Iceberg?What is data mesh?What is an open data lakehouse?What are Open Table Formats?Introducing support for UNLOAD in Starburst GalaxyStarburst Enterprise 438-e STSDell annonce le lancement du Dell Data Analytics Engine qui intègre Starburst et permet d’unifier toutes les données pour accélérer les projets analytiques et d’IAData migration: Maximizing value with SQL, Trino, and StarburstStarburst Enterprise 435-e LTS product releaseThe new Dell Data Analytics Engine powered by Starburst unifies all your data and accelerates AI and analyticsStarburst Enterprise Platform Support Clarification Regarding Trino Community ConnectorsThe Icehouse Manifesto: Building an Open LakehouseStarburst named a leader in 2024 GigaOm Radar for Data Lakes and LakehousesReady, Set, Go! Trino Fest 2024 Awaits!How to implement CDC using Debezium, Kafka and Starburst GalaxyIntroducing multilayer caching in Starburst GalaxyJumpstart your future: Starburst summer internships and insider application tips!Starburst Data Products on AWS Accelerate Time to Insight Using Core Software Engineering PrinciplesBuilding a security data platformData virtualization will become a core component of data lakehousesStarburst Galaxy 2023 WrappedDeprecation of RubiX, Alluxio, and Sentry in the Starburst Enterprise Hive connectorStarburst Enterprise Support Updates: Java 21Starburst Enterprise Platform support updates about Trino community connectorsIntroducing new SQL enhancements in Starburst GalaxyHow Annalect Super-Charged Cross-Company Collaboration with Data MeshStarburst Enterprise Support Updates: Java 212024 Data and AI Executive Survey and the European Union AI ActDo you have a TCO problem or a vendor lock-in problem?5 Challenges of data warehousesIbis and TrinoTis the Season to Trino: Join us at Trino Summit 2023!The unbundling of cloud data warehousesEverything I knew about enterprise data warehousing is now failing meWhat is the value of a data lakehouse?What is the difference between database and schema?The difference between a data mesh and data warehouseData Mesh vs Data Lakehouse: Understanding the DifferencesSupercharge your data marketplace with Starburst and CollibraIntroducing streaming ingest in Starburst Galaxy — Now in Private PreviewIntroducing automated data lake optimization in Starburst GalaxyIntroducing external data sharing in Starburst GalaxyIntroducing AI-powered data lake analytics in Starburst GalaxyWhat’s New in Starburst Galaxy – re:Invent 2023 EditionAnnouncing the general availability of attribute-based access controls (ABAC) in GravityHow to build data transformations with Python, Ibis, and Starburst GalaxyIntroducing Data Observability in Starburst Galaxy – Now in Public PreviewArtificial intelligence life cycleWhy wait for sequential processing when parallel is faster?State of data catalogs: The battle for your metadataStarburst Galaxy: The magic glue that secures flexible supply chain data for 7Bridges clientsA data lakehouse as a hybrid solutionStarburst Enterprise 427-e STSAn introduction and integration: Delta Lake in Starburst GalaxyPyStarburst: the DataFrame APIStarburst and Dell expand partnership to accelerate AI efforts with more intelligent data collectionJoining the RevolutionWhat are the benefits of a data lake?Combining AWS services with Apache Iceberg tables lets companies build powerful, cost-effective data lakesHow to migrate from Postgres to a S3 data lake with dbt Cloud and Starburst GalaxyBuilding a SQL-based data pipeline with Trino & Starburst5 considerations when configuring a cluster in Starburst GalaxyStarburst Enterprise 426-e STSJoin us to celebrate Trino and round out 2023What’s the difference between PrestoDB and PrestoSQL?Data-driven innovation: If you want to innovate with data, this is what you should do!Revamping data consumption at Meesho for modern data needsStarburst Enterprise 423-e LTS product releaseIntroducing Python DataFrames in Starburst Galaxy – Now in Public PreviewStarburst expands partnership with Google Cloud and the reach of Vertex AI with their federation engineComparing the benefits of a data warehouse vs data lake vs data lakehouseLeveraging Starburst Galaxy for security incident responseAnnouncing Starburst’s Community ForumBestSecret’s data journey: Moving beyond SnowflakeGigaOm TCO report: Starburst data lakehouse enables 3x faster time to insight at half the costOperationalizing data products at scale with AIBuilding a near real-time data lake with Onehouse and StarburstHarnessing Trino for performance engineering and data analytics at SalesforceHow does data federation work?What are the challenges of using a legacy data lake?What’s New in Starburst Galaxy – August 2023Partitioning limitations for data lake analyticsHow Starburst’s data engineering team builds resilient telemetry data pipelinesHow to use Starburst and Airflow to create resilient data pipelinesStarburst Enterprise 422-e STSData pipelines and data lakehousesReal-world evidence: Improve healthcare data-driven decision makingHow to use dbt and Trino with Iceberg for a change data capture on a data lakeGenerative AI and Starburst: Pioneering natural language interfaces for data explorationTime travel: What did they do to my data?Starburst Enterprise 420-e STSHow to connect a client to Starburst GalaxyStarburst Galaxy Launch Week wrap upComment Starburst Galaxy augmente et optimise votre cloud data warehouseAnnouncing the public preview of Warp Speed in Starburst GalaxyAchieve even faster performance on Starburst Galaxy, now powered by AWS Graviton3Announcing the public preview of data products in Starburst GalaxyA first-class experience for Iceberg, Delta Lake, and Hudi in Starburst GalaxyIntroducing cross-cloud analytics in Starburst GalaxyInside Starburst’s hackathon: Into the great wide open(AI)Announcing the public preview of Gravity in Starburst GalaxyTableau and Starburst Simplifies BI on the Modern Data LakeIntroducing Starburst Galaxy as a data lake analytics platformStarburst and Zing: A modern data experience that’s out of this worldGoogle Looker & Starburst Galaxy: Trusted BI for your modern data lakeHow row filtering & column masking enables enterprise grade securityStarburst Galaxy launch week: New features and enhancements4 Data Product Mistakes to AvoidStarburst invites the Trino community and you!Data products and data mesh: how they relate, and how they are differentStarburst Enterprise support: Deprecation of legacy Cloudera platformsDesigning a data lake and analytics architectureStarburst Enterprise 413-e LTS release10 benefits and challenges of data meshWelcome, Megan Maslanka, Starburst’s Chief People Officer!Re-architecting Trino: The development of fault-tolerant executionTop 12 benefits of data products for users and the businessSecuring customer data in SaaS productsAccelerate AI with a data lake analytics platformHealthcare analytics: Improve patient care and maximize cost efficiencyBuilding an open lakehouse just got easier with Starburst Galaxy & TabularHive vs Iceberg: Choosing the best table format for your analytics workload4 Best practices for developing and scaling data productsTutorial: Using Starburst Galaxy’s materialized views with Apache IcebergTutorial: Connecting Starburst Galaxy to TabularModern standards for anti-money laundering monitoringWhy data products are critical to environmental, social, and governance (ESG)Hosting the Trino communityBuild an open data lake architecture with dbt Cloud and Starburst GalaxyAccelerating environmental initiatives with OS ClimateStarburst Galaxy May 2023 roundup: Optimizing for price-performanceThe difference between Hudi and IcebergBCG study: Data costs & architectural complexity reach a tipping pointWhat’s the difference between cloud object storage vs HDFSBuild and run scalable transformation pipelines using dbt Cloud and StarburstStarburst Enterprise 413-e STSDesigning for agile analyticsImproving performance with Iceberg sorted tablesClosing the data management and analytics divide in Financial ServicesOffload Your Cloud Data Warehouse WorkloadsPersona-driven data mesh designJoin us at Trino Fest 2023Starburst Enterprise 411-e STSFine-grained governance & security to your cloud data sources with ABACStarburst Galaxy April 2023 roundup: A new and improved security & governance experienceThe difference between SEMMA and CRISP-DM7 key takeaways: The future of financial services with distributed dataNew integrations extend Starburst capabilities to Google Cloud’s Dataplex and BigQueryFueling Trino large-scale geospatial analysis with Starburst Warp SpeedRun optimized geospatial queries with Trino6 ways to foster curiosity in data engineering and drive real resultsThe hidden value of your data lakeStarburst Enterprise 407-e LTS Product ReleaseThe data product lifecycleTrust MOM to guide your data transformationStarburst Enterprise 407-e LTSThe data truths shall set your business freeShopify cuts execution time from hours to seconds with Iceberg and TrinoComcast’s data journey into data mesh with StarburstHow data engineering fails2023 Data Rebel Award WinnersLie #5 — Vendor Benchmarks Measure Real-World PerformanceLie #4 — You need to hire to close the skills gapLie #3 — You’re ready for the AI + ML deep endThe modern data stack isn’t modernA single source of truthDatanova 2023: data rebels, may the force be with youDiscussing data mesh with a digital transformation leaderTrino for Large-Scale ETL @ LyftDatanova 2023: is Data Mesh the end of data engineering?Datanova 2023: gaze into the crystal ball as it reveals the future of dataObtenir un avantage concurrentiel grâce aux Data Products : 4 leviers d’optimisation clésBuilding a federated data lakehouse with Starburst GalaxySimplified Cloud Storage Governance with Starburst and ImmutaImplications of Data Mesh: Redefining the Role of the CDOOver 80 Data & Analytics Statistics, Data, Trends, and FactsDismantling the Status Quo Of Data Silos And Vendor Lock-In4 tendances data à suivre en 2023Tableau Cloud + Starburst: New Connector Supports Shift to Cloud-based SaaSWhat Are The Different Types Of Data ProductsDatanova 2023: The Data Rebels Are Coming, The Data Rebels Are ComingOptimizing Your S3 Data Lakehouse Architecture with Starburst GalaxyDatanova 2023: A Princess Restores Data Freedom With Her StarshipApache Iceberg Time Travel & Rollbacks in TrinoHow data and schema interact with a data lake and data warehouseRefresh your data faster using incremental modelsFirst dbt-trino data pipelineSetting up Trino for dbtBuilding lakehouse with dbt and TrinoBuilding and governing a data mesh with Starburst and AWS Lake FormationApache Iceberg Schema Evolution in TrinoOptimize your Data Products for Competitive DifferentiationReliving the Hype: Highlights from Trino Summit 2022Apache Iceberg DML (update/delete/merge) & Maintenance in TrinoIntroducing Full Query Passthrough For Faster Query FederationWhen to use a data lakehouse architectureIceberg Partitioning and Performance Optimizations in TrinoJoin the Team: Realizing the Promise Of Big DataHow To Migrate Queries From Amazon Athena To Starburst GalaxyClarifying Data Mesh Roles And ResponsibilitiesCountdown to Trino Summit 2022Risk Management and Compliance Best Practices for Data MeshWhat’s New in Starburst Galaxy – October 20226 Considerations for Choosing the Right Cloud Data Lake SolutionIntroduction to Apache Iceberg In TrinoBuild a Data Lakehouse Reporting Structure with dbt and Starburst GalaxyAccenture Master Class: How to Adopt a Data Product MindsetData lake vs Data VirtualizationThe Seeds of RevolutionSecond Edition of Trino: The Definitive GuideBuilding Reporting Structures on S3 using Starburst Galaxy and Apache IcebergThe Data Virtualization Evolution is Just BeginningSpace Quest League: Mission 3 Finale & Mission 4 Launch!Delivering Text Search Capabilities Directly on the Data Lake with StarburstPwC Data Mesh Study: TL;DR for Busy ExecutivesEMEA Diaries: Starburst Founding and Growth in Poland4 Key Things You Should Know About IndexingFive Exciting Big Data Trends Worth Taking a Closer LookConclusionDeserialization part 2Deserialization part 1ParsingPrintingSerializationQ&A with Javier Molina: What Hispanic Heritage Means in the Tech WorldRethinking SIEM SolutionsThe Difference Between Micro-Partitioning vs. Indexing and a Better WayStarburst Enterprise 393-e LTS Product ReleaseAccenture Master Class: Why Organizations Should Create Data ProductsData Lake Solutions Foster a Range of Analytics Use CasesWhat’s New in Starburst Galaxy – August 2022Identify threats faster with a security data lakeIntroducing Autoscaling in Starburst GalaxyCan the data fabric automate the creation of data products?Kicking off your career in tech: Why you should sell at StarburstPractical Security And Policy-Based Governance In A Data MeshTrino Turns Ten!Near Real-Time Ingestion For TrinoThe Starburst Internship Program: Meet our Summer InternsStarburst’s First CFO: David FreemanStarburst Lakehouse: Data Warehouse Functionality, Without The CostScaling Up: When to Migrate from PostgreSQL to a Data LakeAnnouncing the 2022 Trino SummitConfessions of a Space Quest League AdvocateHiring for (Customer) Success: Come Build your Career with StarburstSOC 2 Type 2 Certification: What A Ride And Wonderful Accomplishment!Starburst Acquires Varada To Deliver Faster (and Cheaper) Data Lake AnalyticsEMEA Diaries: Record-Breaking Growth And New Hiring InitiativesEmployee Perspective: Accelerating Data-Driven Insights in AdTechLet’s Get Granular: Why Granularity Impacts Role-Based Access ControlTransforming Your Data Pipelines with StarburstData Mesh TV: Leveraging International Data Management Standards In Your Data MeshThe Benefit Of Using An Externally-Audited Data Analytics SolutionMore than a 100 Data Products: Vista Leverages Valuable Data with a Data MeshThe Past, Present, and Future of TrinoStarburst Enterprise 380-e LTS Product ReleaseIt’s Intern Season at Starburst: Meet our Former All-Star InternsEarly Adoption of the Self-Service Data InfrastructureData Mesh TV: Building A Digital Operations Model With A Data MeshStarburst Listed as a Representative Vendor in the 2022 Gartner Market Guide for Analytics Query AcceleratorsETL vs Interactive Queries: The Case for BothIntroducing Great Lakes Connectivity for Starburst GalaxyCombining Data Mesh and Data Fabric CapabilitiesStarburst and Data Products: The Key to a Data MeshUnlocking the Value of a Data Mesh Through MetadataEnter the Starburst Space Quest League for a Chance to Win Big!What to Know When Applying for a UX Internship, and How to Land an InterviewAnnouncing Starburst’s AWS EKS Marketplace ListingStarburst Enriches Google BigQuery’s Customer Experience with Access to Data Across Hybrid, Cross-Cloud, Salesforce, and Data WarehousesData Mesh TV: Overcoming Data Access ChallengesFaster Query Processing: CPU TimeStarburst and Databricks Collaborate on the Trino Delta Lake ConnectorWelcome to Starburst, Andrii Rosa!How data mesh and a data fabric are fundamentally changing the role of the data engineerThe 2022 State of Data: A Sneak PeekGartner® Report: Are Data Fabric and Data Mesh the Same or Different?Jump Start Your Data Mesh Strategy5 Security Elements to Consider When Selecting a Data Access SolutionData Mesh TV: A CDO Discussion on the Data Mesh JourneyStarburst Announces $250M Series DData Mesh TV: Quantifying Risk on a MeshTop 6 Reasons to Migrate to the CloudInnovate Faster with Starburst Galaxy: The Embedded Data EngineDon’t Hit Reset On Your Digital TransformationWhat does fully managed means in the cloudThe Right Way to Query Across Data Sources in Tableau (or, The Cross-Database Join Is Not Always Your Friend)Data Mesh Book Bulletin: Principle of Federated Computational GovernanceAchieving Lightning-Fast Analytics on the Salesforce Customer 360Data Mesh: Federated Computational GovernanceEMEA Diaries: A Landmark Year of Growth and Traction in EuropeIntroducing Starburst Galaxy on Google Cloud2022-25 Data Strategy: Three New Actionable Ideas for the CDOMeet Adrian Estala — Former Shell CDO and now Starburst VP, Field CDOStarburst Stargate: One Cluster to Rule Them AllData Mesh: Self-Service Data InfrastructureData warehouse vs Lake vs Lakehouse architectureAzure data lake with Starburst Galaxy for better analyticsStarburst Galaxy Now Available on AWS, Azure, GCPStarburst Achieves AWS Data & Analytics CompetencyData Fabric vs. Data Mesh: What’s the Difference?Starburst Enterprise 364-e LTS Product ReleaseTableau is Just Better with StarburstData Mesh: 6 Myths and MisconceptionsIntro to Trino for the TrinewbieData Mesh Book Bulletin: Principle of Self-Service Data PlatformData Mesh: Data as a ProductData Mesh Architecture: Domain-oriented OwnershipData as a ProductData Mesh: A Software Engineer’s PerspectiveData Mesh Book Bulletin: Principle of Domain OwnershipData Mesh: Embracing Decentralized Data ParadigmsDynamic Filtering: Supporting High Speed Access to DataDoes the data mesh make data integration harder?Countdown to Big Data LDNHow Data Mesh Scales Data VirtualizationThe Intelligent EdgeHow Assurance Unlocked More Business Value with StarburstThe Mars Digital EngineAccelerating Data Science with TrinoEMEA Diaries: An Evening of Data Mesh, Networking, and Wine TastingWhy Performance Matters: Parquet, Delta Lake, Dynamic FilteringStarburst Vision: How We’ll Get ThereData Mesh Book Bulletin: After the Inflection PointLet Starburst Light Up Your WorldHybrid Distributed Data Store and RDBMSData Mesh Book Bulletin: The Inflection PointStarburst is The Analytics Engine for Data MeshMoving On-Premise Data to Azure Cloud ADLSThe data mesh approach to analytics at scaleKafka and Starburst: 3 Considerations for Accelerating Time to ValueWhy Data Lakehouse Architecture Now?EMEA Diaries: Rencontrez l’équipe Starburst Europe Du Sud – Focus sur le marché analytique en FranceThe State of Data AnalystsQuery Federation Made Simple at ComcastRapid Controlled Access to Data with Starburst and ImmutaTrino on Ice IV: Deep Dive Into Iceberg InternalsManaging Secrets in TrinoTrino on Ice III: Iceberg Concurrency Model, Snapshots, and the Iceberg SpecTrino on Ice II: In-Place Table Evolution and Cloud Compatibility with IcebergTrino On Ice I: A Gentle Introduction To IcebergTrino, Data Governance, and Accelerating Data ScienceData Mesh: The Answer to the Data Warehouse HypocrisyStarburst wins the Data Breakthrough Award for “Data Access Solution of the Year”!Starburst Global Access ControlWhy did we call our product Starburst Galaxy?A Gentle Introduction to the Hive ConnectorAnnouncing: Starburst GalaxyUnicorn Valuation, Workhorse Values: Part 2 of Our Series C AnnouncementStarburst Announces $100M Series C Led by Andreessen HorowitzPrestoSQL becomes TrinoThe Rise of X Analytics in an Uncertain EconomyBuilding an Inclusive Meritocracy at StarburstThe Death of Apache DrillHow to Prepare for Hadoop’s Uncertain FuturePresto & Data Science: Getting Data Into the Hands of Data Scientists (Faster)Starburst Announces $42 Million Series BHow to Optimize Trino Performance with Different Storage LayersThe 4 Stages to Big Data Nirvana (In the Cloud)Consumption Layers 101Optionality in enterprise data architecturesStarburst Enterprise & Databricks Delta Lake SupportThe Art of Abstraction: the continuing separation of compute and storage for data analyticsStarburst Enterprise Cloud 203e now available on AWS MarketplaceData Lakes without HadoopTrue Separation of Storage and ComputeBuilding data lakes using AWS S3 object storage
Announcing Starburst AI & Datanova 2026
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Why Context Helps Uncover Real Meaning
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Why the Future of AI Relies on Conversation and Context
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Demystifying Data Catalogs, Data Products, and Metadata Management
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Why Data Lineage Matters
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What Data Teams Can Learn About Readiness
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Data Playbooks
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Strategy First: Empowering the Business to Lead in the AI Era
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No One Wins Alone
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