#datawarehouse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datawarehouse, aggregated by home.social.
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https://www.europesays.com/ie/501113/ GDP, Earnings and Other Key Things to Watch this Week #Business #ConsumerConfidenceReport #CorePCEPriceIndex #costco #DataWarehouse #Dell #DemandPerspectives #DurableGoodsOrders #EconomicData #EconomicGrowth #Economy #Éire #EnterpriseSoftware #IE #Ireland #MemorialDay
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💡 Databricks Advanced Security with RBAC, RLS & ABAC
Our newest blog-post summarizes authorization patterns on the Databricks platform. How do role-based and attribute-based access control mix with row- and column-level security? All you need to know in a concise little write-up:
🔗 https://www.nextlytics.com/blog/master-databricks-security-with-rbac-rls-abac
#databricks #dataengineering #datascience #sapdatabricks #businessintelligence #blog #azuredatabricks #datawarehouse #datagovernance #unitycatalog
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💡 Databricks Advanced Security with RBAC, RLS & ABAC
Our newest blog-post summarizes authorization patterns on the Databricks platform. How do role-based and attribute-based access control mix with row- and column-level security? All you need to know in a concise little write-up:
🔗 https://www.nextlytics.com/blog/master-databricks-security-with-rbac-rls-abac
#databricks #dataengineering #datascience #sapdatabricks #businessintelligence #blog #azuredatabricks #datawarehouse #datagovernance #unitycatalog
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💡 Databricks Advanced Security with RBAC, RLS & ABAC
Our newest blog-post summarizes authorization patterns on the Databricks platform. How do role-based and attribute-based access control mix with row- and column-level security? All you need to know in a concise little write-up:
🔗 https://www.nextlytics.com/blog/master-databricks-security-with-rbac-rls-abac
#databricks #dataengineering #datascience #sapdatabricks #businessintelligence #blog #azuredatabricks #datawarehouse #datagovernance #unitycatalog
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💡 Databricks Advanced Security with RBAC, RLS & ABAC
Our newest blog-post summarizes authorization patterns on the Databricks platform. How do role-based and attribute-based access control mix with row- and column-level security? All you need to know in a concise little write-up:
🔗 https://www.nextlytics.com/blog/master-databricks-security-with-rbac-rls-abac
#databricks #dataengineering #datascience #sapdatabricks #businessintelligence #blog #azuredatabricks #datawarehouse #datagovernance #unitycatalog
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💡 Databricks Advanced Security with RBAC, RLS & ABAC
Our newest blog-post summarizes authorization patterns on the Databricks platform. How do role-based and attribute-based access control mix with row- and column-level security? All you need to know in a concise little write-up:
🔗 https://www.nextlytics.com/blog/master-databricks-security-with-rbac-rls-abac
#databricks #dataengineering #datascience #sapdatabricks #businessintelligence #blog #azuredatabricks #datawarehouse #datagovernance #unitycatalog
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The Data Lakehouse Explained: Why Apache Iceberg Is Quietly Running the Show
https://techlife.blog/posts/data-lakehouse-iceberg
#ApacheIceberg #DataLakehouse #DataWarehouse #DataLake #Snowflake #ApacheSpark #DataEngineering
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The Data Lakehouse Explained: Why Apache Iceberg Is Quietly Running the Show
https://techlife.blog/posts/data-lakehouse-iceberg
#ApacheIceberg #DataLakehouse #DataWarehouse #DataLake #Snowflake #ApacheSpark #DataEngineering
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Datos de Forma Deliberada: Mejores Prácticas para EDW
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.https://goodstrat.com/2026/03/24/datos-de-forma-deliberada-mejores-practicas-para-edw/
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Datos de Forma Deliberada: Mejores Prácticas para EDW
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.https://goodstrat.com/2026/03/24/datos-de-forma-deliberada-mejores-practicas-para-edw/
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Datos de Forma Deliberada: Mejores Prácticas para EDW
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.https://goodstrat.com/2026/03/24/datos-de-forma-deliberada-mejores-practicas-para-edw/
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Datos de Forma Deliberada: Mejores Prácticas para EDW
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.https://goodstrat.com/2026/03/24/datos-de-forma-deliberada-mejores-practicas-para-edw/
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Datos de Forma Deliberada: Mejores Prácticas para EDW
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs.https://goodstrat.com/2026/03/24/datos-de-forma-deliberada-mejores-practicas-para-edw/
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MASTER CLASS: Mastering Data Warehousing: Balancing Pre-Emption and Back-Filling
The article discusses strategies for expanding subject areas in enterprise data warehousing, weighing proactive pre-emption against reactive back-filling. It advocates a balanced approach to governance that allows analysts some flexibility while preventing scope creep. By combining both methods deliberately, organisations can enhance data quality, governance, and responsiveness to business needs. -
Confused by Data Warehouse vs. Data Lake vs. Data Mesh?
Think of it this way:
- 📦 Warehouse = organized storage room
- 🌊 Lake = throw everything in, sort later
- 🕸️ Mesh = each team owns and serves its own data - but there is still a common hub.The key insight: Mesh isn't a storage technology. You can run a Data Mesh on top of a Warehouse or Lake. It's about ownership, not infrastructure.
👉 https://www.kdnuggets.com/data-lake-vs-data-warehouse-vs-lakehouse-vs-data-mesh-whats-the-difference
#DataMesh #DataLake #DataWarehouse #DataLiteracy
— bos | 🖼️ ai-generated -
Confused by Data Warehouse vs. Data Lake vs. Data Mesh?
Think of it this way:
- 📦 Warehouse = organized storage room
- 🌊 Lake = throw everything in, sort later
- 🕸️ Mesh = each team owns and serves its own data - but there is still a common hub.The key insight: Mesh isn't a storage technology. You can run a Data Mesh on top of a Warehouse or Lake. It's about ownership, not infrastructure.
👉 https://www.kdnuggets.com/data-lake-vs-data-warehouse-vs-lakehouse-vs-data-mesh-whats-the-difference
#DataMesh #DataLake #DataWarehouse #DataLiteracy
— bos | 🖼️ ai-generated -
Confused by Data Warehouse vs. Data Lake vs. Data Mesh?
Think of it this way:
- 📦 Warehouse = organized storage room
- 🌊 Lake = throw everything in, sort later
- 🕸️ Mesh = each team owns and serves its own data - but there is still a common hub.The key insight: Mesh isn't a storage technology. You can run a Data Mesh on top of a Warehouse or Lake. It's about ownership, not infrastructure.
👉 https://www.kdnuggets.com/data-lake-vs-data-warehouse-vs-lakehouse-vs-data-mesh-whats-the-difference
#DataMesh #DataLake #DataWarehouse #DataLiteracy
— bos | 🖼️ ai-generated -
Every data professional should understand these seven core concepts.
From data warehouses and lakes to pipelines, meshes, and governance, these form the foundation of modern analytics infrastructure.
Mastering them bridges the gap between raw data and actionable business insights.📕 https://ebokify.com/ai-data-science
#DataEngineering #DataScience #DataAnalytics #ETL #DataWarehouse #BigData #BusinessIntelligence #DataPipeline #DataGovernance
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Every data professional should understand these seven core concepts.
From data warehouses and lakes to pipelines, meshes, and governance, these form the foundation of modern analytics infrastructure.
Mastering them bridges the gap between raw data and actionable business insights.📕 https://ebokify.com/ai-data-science
#DataEngineering #DataScience #DataAnalytics #ETL #DataWarehouse #BigData #BusinessIntelligence #DataPipeline #DataGovernance
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Every data professional should understand these seven core concepts.
From data warehouses and lakes to pipelines, meshes, and governance, these form the foundation of modern analytics infrastructure.
Mastering them bridges the gap between raw data and actionable business insights.📕 https://ebokify.com/ai-data-science
#DataEngineering #DataScience #DataAnalytics #ETL #DataWarehouse #BigData #BusinessIntelligence #DataPipeline #DataGovernance
-
Every data professional should understand these seven core concepts.
From data warehouses and lakes to pipelines, meshes, and governance, these form the foundation of modern analytics infrastructure.
Mastering them bridges the gap between raw data and actionable business insights.📕 https://ebokify.com/ai-data-science
#DataEngineering #DataScience #DataAnalytics #ETL #DataWarehouse #BigData #BusinessIntelligence #DataPipeline #DataGovernance
-
Every data professional should understand these seven core concepts.
From data warehouses and lakes to pipelines, meshes, and governance, these form the foundation of modern analytics infrastructure.
Mastering them bridges the gap between raw data and actionable business insights.📕 https://ebokify.com/ai-data-science
#DataEngineering #DataScience #DataAnalytics #ETL #DataWarehouse #BigData #BusinessIntelligence #DataPipeline #DataGovernance
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DATA WORLD: Data Warehouse Action: Big Business Drivers
The Enterprise Data Warehouse (EDW) should prioritise genuine business needs over IT preferences. Martyn Rhisiart Jones emphasises starting with business requirements, avoiding speculative builds, and measuring success by business outcomes. Ongoing business involvement ensures adaptability to market changes, positioning the EDW as a strategic tool for informed decision-making and financial returns.https://goodstrat.com/2026/02/11/data-warehouse-musings-drivers/
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Precog giải quyết bài toán nan giải: làm cho dữ liệu doanh nghiệp (Salesforce, SAP, NetSuite…) sẵn sàng cho AI. Thay vì đổ dữ liệu thô vào LLM, Precog chỉ lấy các trường liên quan, thêm lớp ngữ nghĩa và giữ dữ liệu gốc trong kho. Dùng Snowflake Cortex để chuyển ngôn ngữ tự nhiên thành SQL – dùng AI đúng việc. Dữ liệu không rời kho, an toàn & hiệu quả. #AI #DataWarehouse #EnterpriseAI #LLM #Precog #AIAnToàn #DữLiệuDoanhNghiệp #TríTuệNhânTạo
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Ingest files into your Fabric Data Warehouse using the OPENROWSET function
#DataWarehouse #SQL #MicrosoftFabric #DataIngestion
https://blog.fabric.microsoft.com/en-US/blog/ingest-files-into-your-fabric-data-warehouse-using-the-openrowset-function/?wt.mc_id=DP-MVP-4015656 -
Ingest files into your Fabric Data Warehouse using the OPENROWSET function
#DataWarehouse #SQL #MicrosoftFabric #DataIngestion
https://blog.fabric.microsoft.com/en-US/blog/ingest-files-into-your-fabric-data-warehouse-using-the-openrowset-function/?wt.mc_id=DP-MVP-4015656 -
Ingest files into your Fabric Data Warehouse using the OPENROWSET function
#DataWarehouse #SQL #MicrosoftFabric #DataIngestion
https://blog.fabric.microsoft.com/en-US/blog/ingest-files-into-your-fabric-data-warehouse-using-the-openrowset-function/?wt.mc_id=DP-MVP-4015656 -
Ingest files into your Fabric Data Warehouse using the OPENROWSET function
#DataWarehouse #SQL #MicrosoftFabric #DataIngestion
https://blog.fabric.microsoft.com/en-US/blog/ingest-files-into-your-fabric-data-warehouse-using-the-openrowset-function/?wt.mc_id=DP-MVP-4015656 -
Ingest files into your Fabric Data Warehouse using the OPENROWSET function
#DataWarehouse #SQL #MicrosoftFabric #DataIngestion
https://blog.fabric.microsoft.com/en-US/blog/ingest-files-into-your-fabric-data-warehouse-using-the-openrowset-function/?wt.mc_id=DP-MVP-4015656 -
OneLake Security on the SQL Analytics Endpoint
#DataWarehouse #Lakehouse #MicrosoftFabric #OneLake #Cybersecurity #DataSecurity
https://blog.fabric.microsoft.com/en-US/blog/onelake-security-on-the-sql-analytics-endpoint/?wt.mc_id=DP-MVP-4015656 -
OneLake Security on the SQL Analytics Endpoint
#DataWarehouse #Lakehouse #MicrosoftFabric #OneLake #Cybersecurity #DataSecurity
https://blog.fabric.microsoft.com/en-US/blog/onelake-security-on-the-sql-analytics-endpoint/?wt.mc_id=DP-MVP-4015656 -
When the boss explain the story of datawarehouse architecture. https://williaminmon.substack.com/p/a-tale-of-two-architectures-kimball #inmon #datawarehouse #kimball #datavault #dv2 #dfakto
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When the boss explain the story of datawarehouse architecture. https://williaminmon.substack.com/p/a-tale-of-two-architectures-kimball #inmon #datawarehouse #kimball #datavault #dv2 #dfakto
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When the boss explain the story of datawarehouse architecture. https://williaminmon.substack.com/p/a-tale-of-two-architectures-kimball #inmon #datawarehouse #kimball #datavault #dv2 #dfakto
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SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences
#Development #Datawarehouse #SSMS #MicrosoftFabric #SQLServer
https://blog.fabric.microsoft.com/en-US/blog/ssms-22-meets-fabric-data-warehouse-evolving-the-developer-experiences/?wt.mc_id=DP-MVP-4015656 -
Resolving Write Conflicts in Microsoft Fabric Data Warehouse
#MicrosoftFabric #DataWarehouse #TSQL #DDL
https://blog.fabric.microsoft.com/en-US/blog/concurrency-control-and-conflict-resolution-in-microsoft-fabric-data-warehouse/?wt.mc_id=DP-MVP-4015656 -
The real differentiator isn’t the technology, it is execution:
* Start from business outcomes, not tables and tools
* Map those outcomes to data sources and quality
* Deliver value in small, focused phases
* Measure and communicate impact at every step💡 In short: a data warehouse is less an IT project and more a strategic capability for data-driven decision-making.
#DataWarehouse #Analytics #DataStrategy #BusinessIntelligence
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RE: https://saptodon.org/@nextlytics/115626302471687794
Mal wieder ein tieftechnischer Blogpost aus meinem Team. Jemand sagte mir neulich, komplexe Merges im Data Warehousing gäbe es mit #dbt für lau - ganz so einfach ist es aber nicht.
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RE: https://saptodon.org/@nextlytics/115626302471687794
Mal wieder ein tieftechnischer Blogpost aus meinem Team. Jemand sagte mir neulich, komplexe Merges im Data Warehousing gäbe es mit #dbt für lau - ganz so einfach ist es aber nicht.
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RE: https://saptodon.org/@nextlytics/115626302471687794
Mal wieder ein tieftechnischer Blogpost aus meinem Team. Jemand sagte mir neulich, komplexe Merges im Data Warehousing gäbe es mit #dbt für lau - ganz so einfach ist es aber nicht.
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RE: https://saptodon.org/@nextlytics/115626302471687794
Mal wieder ein tieftechnischer Blogpost aus meinem Team. Jemand sagte mir neulich, komplexe Merges im Data Warehousing gäbe es mit #dbt für lau - ganz so einfach ist es aber nicht.
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RE: https://saptodon.org/@nextlytics/115626302471687794
Mal wieder ein tieftechnischer Blogpost aus meinem Team. Jemand sagte mir neulich, komplexe Merges im Data Warehousing gäbe es mit #dbt für lau - ganz so einfach ist es aber nicht.
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✅ Advanced Data Warehousing in Databricks with DBT Macros and Snapshots
💡 Read our latest blog post to learn how to use advanced features of the dbt data modeling framework to harmonize Data Warehouse routine tasks like history-preserving merges.
#blog #databricks #dbt #datawarehouse #dataengineering #businessintelligence #nextlytics
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✅ Advanced Data Warehousing in Databricks with DBT Macros and Snapshots
💡 Read our latest blog post to learn how to use advanced features of the dbt data modeling framework to harmonize Data Warehouse routine tasks like history-preserving merges.
#blog #databricks #dbt #datawarehouse #dataengineering #businessintelligence #nextlytics
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✅ Advanced Data Warehousing in Databricks with DBT Macros and Snapshots
💡 Read our latest blog post to learn how to use advanced features of the dbt data modeling framework to harmonize Data Warehouse routine tasks like history-preserving merges.
#blog #databricks #dbt #datawarehouse #dataengineering #businessintelligence #nextlytics