#datawarehouse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datawarehouse, aggregated by home.social.
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Watch Now: https://zurl.co/7QNmv
Extract, Transform & Load (ETL) Explained | ETL Process in Data Engineering | Beginner to Advanced
#ETL #DataEngineering #DataWarehouse #DataIntegration #SalesforceDataCloud #SQL #ELT #BusinessIntelligence #DataAnalytics #BigData #DataPipeline #CloudComputing #Informatica #Talend #AWSGlue #Peoplewoo #Salesforce #LearnETL #TechTutorial #DataEngineer -
Watch Now: https://zurl.co/7QNmv
Extract, Transform & Load (ETL) Explained | ETL Process in Data Engineering | Beginner to Advanced
#ETL #DataEngineering #DataWarehouse #DataIntegration #SalesforceDataCloud #SQL #ELT #BusinessIntelligence #DataAnalytics #BigData #DataPipeline #CloudComputing #Informatica #Talend #AWSGlue #Peoplewoo #Salesforce #LearnETL #TechTutorial #DataEngineer -
Tired of queries that slow to a crawl when the team logs in? Facing a Broadcom or cloud renewal with no good options on the table? Or managing data that legally can’t leave your environment? There’s a modern, open, sovereign alternative ready today with EDB Postgres AI: https://www.enterprisedb.com/blog/time-your-data-warehouse-answers-opportunity-gone-0 #PostgreSQL #datawarehouse #warehousepg
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Tired of queries that slow to a crawl when the team logs in? Facing a Broadcom or cloud renewal with no good options on the table? Or managing data that legally can’t leave your environment? There’s a modern, open, sovereign alternative ready today with EDB Postgres AI: https://www.enterprisedb.com/blog/time-your-data-warehouse-answers-opportunity-gone-0 #PostgreSQL #datawarehouse #warehousepg
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Votre data warehouse est un *grenier* ? *Rangez-le*. #DataEngineering #DataWarehouse #Humour #Tech #NoBullshit #Optimisation ... https://www.linkedin.com/posts/gabriel-chandesris_dataengineering-datawarehouse-humour-share-7478731787611979776-NwLs/
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Votre data warehouse est un *grenier* ? *Rangez-le*. #DataEngineering #DataWarehouse #Humour #Tech #NoBullshit #Optimisation ... https://www.linkedin.com/posts/gabriel-chandesris_dataengineering-datawarehouse-humour-share-7478731787611979776-NwLs/
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Databricks aims to make ETL between databases and analytics obsolete
LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require a common data basis.
#DataWarehouse #Datenbanken #Datenintegration #IT #KünstlicheIntelligenz #PostgreSQL #Wirtschaft #news
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Databricks aims to make ETL between databases and analytics obsolete
LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require a common data basis.
#DataWarehouse #Datenbanken #Datenintegration #IT #KünstlicheIntelligenz #PostgreSQL #Wirtschaft #news
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Databricks will ETL zwischen Datenbanken und Analytics überflüssig machen
LTAP heißt die neue Architektur von Databricks, mit der operative Datenbanken und analytische Systeme nur noch eine gemeinsame Datenbasis benötigen sollen.
#DataWarehouse #Datenbanken #Datenintegration #IT #KünstlicheIntelligenz #PostgreSQL #Wirtschaft #news
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Databricks will ETL zwischen Datenbanken und Analytics überflüssig machen
LTAP heißt die neue Architektur von Databricks, mit der operative Datenbanken und analytische Systeme nur noch eine gemeinsame Datenbasis benötigen sollen.
#DataWarehouse #Datenbanken #Datenintegration #IT #KünstlicheIntelligenz #PostgreSQL #Wirtschaft #news
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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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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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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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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 -
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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✅ 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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RE: https://saptodon.org/@nextlytics/115501853415430874
Our #webinar from last week is available as an on-demand recording for anyone who missed it. How can #SAP Business Data Cloud interact with a wider ecosystem of modern data platforms like #Databricks, #Snowflake, #BigQuery, and (new this week) #Fabric? Where does this trend lead?
Spoiler: maybe truly open players have the advantage in the future interoperable data ecosystem over old-fashioned proprietary-first vendors...
#datascience #dataengineering #datawarehouse #datalakehouse #lakehouse
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RE: https://saptodon.org/@nextlytics/115501853415430874
Our #webinar from last week is available as an on-demand recording for anyone who missed it. How can #SAP Business Data Cloud interact with a wider ecosystem of modern data platforms like #Databricks, #Snowflake, #BigQuery, and (new this week) #Fabric? Where does this trend lead?
Spoiler: maybe truly open players have the advantage in the future interoperable data ecosystem over old-fashioned proprietary-first vendors...
#datascience #dataengineering #datawarehouse #datalakehouse #lakehouse
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A Data Warehouse is the backbone of modern analytics.
Data flows from operational systems (ERP, CRM, Sales, Marketing, External Sources) → Integration Layer (Staging & ODS) → Central Warehouse.
From there, Strategic Marts support exploration & mining, while Data Marts serve department-specific needs. The result: reliable insights at scale.
#DataWarehouse #ETL #DataEngineering #Analytics #BusinessIntelligence #BigData #SQL
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Snowflake just unveiled an AI engine that goes beyond traditional retrieval‑augmented generation. It can query, combine and aggregate insights from thousands of unstructured docs in seconds, turning your data warehouse into a live knowledge hub. Curious how this reshapes analytics? Read on. #SnowflakeAI #RAG #VectorDB #DataWarehouse
🔗 https://aidailypost.com/news/snowflake-adds-ai-that-surpasses-rag-querying-aggregating-thousands
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Workspace-Level Private Link in Microsoft Fabric (Generally Available)
#DataEngineering #DataLake #DataScience #datawarehouse #MicrosoftFabric
https://blog.fabric.microsoft.com/en-us/blog/announcing-general-availability-of-workspace-level-private-link-in-microsoft-fabric?ft=All -
Workspace-Level Private Link in Microsoft Fabric (Generally Available)
#DataEngineering #DataLake #DataScience #datawarehouse #MicrosoftFabric
https://blog.fabric.microsoft.com/en-us/blog/announcing-general-availability-of-workspace-level-private-link-in-microsoft-fabric?ft=All -
Wir hatten #Datawarehouse.
Wir hatten #DataCubes.
Wir hatten #datalake
Wir hatten #DataSwamp.Und wir hatten immer das Versprechen, "Entscheider" könnten nun endlich datengetriebene Entscheidungen treffen, selber Auswertungen machen, selber Muster erkennen. Funktioniert hat das noch nie, immer haben Entwickler versucht, mit den passenden Werkzeugen passende Reports zu bauen.
Jetzt füttert man den Datenbestand in ein LLM. Und hofft, dass das LLM nun die Muster findet. Ob diesmal klappt?
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Airbyte 2.0: Data integration up to six times faster
The open-source platform Airbyte is released in version 2.0 with significantly higher sync speed, data activation, and a hybrid enterprise approach.
#DataWarehouse #Datenintegration #DSGVO #IT #Kubernetes #OpenSource #news
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Airbyte 2.0: Data integration up to six times faster
The open-source platform Airbyte is released in version 2.0 with significantly higher sync speed, data activation, and a hybrid enterprise approach.
#DataWarehouse #Datenintegration #DSGVO #IT #Kubernetes #OpenSource #news
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Airbyte 2.0: Datenintegration bis zu sechsmal schneller
Die Open-Source-Plattform Airbyte erscheint in Version 2.0 mit deutlich höherer Sync-Geschwindigkeit, Data Activation und einem hybriden Enterprise-Ansatz.
#DataWarehouse #Datenintegration #DSGVO #IT #Kubernetes #OpenSource #news
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Airbyte 2.0: Datenintegration bis zu sechsmal schneller
Die Open-Source-Plattform Airbyte erscheint in Version 2.0 mit deutlich höherer Sync-Geschwindigkeit, Data Activation und einem hybriden Enterprise-Ansatz.
#DataWarehouse #Datenintegration #DSGVO #IT #Kubernetes #OpenSource #news
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Why is modern data architecture so confusing? And what made sense for me
https://www.exasol.com/hub/data-warehouse/architecture/
#HackerNews #modernDataArchitecture #dataConfusion #dataStrategy #dataWarehouse #insights
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Why is modern data architecture so confusing? And what made sense for me
https://www.exasol.com/hub/data-warehouse/architecture/
#HackerNews #modernDataArchitecture #dataConfusion #dataStrategy #dataWarehouse #insights
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Unveiling the latest visual for 'Data Science for the Modern Enterprise'! This one maps the crucial journey from raw data to meaningful insights, covering Database Design and Data Warehouse Design.
It's the backbone of any robust data strategy! What are the biggest challenges you've faced in designing or maintaining effective databases and data warehouses? Let's connect and share experiences! 👇
#DatabaseDesign #DataWarehouse #DataScience #DataArchitecture #SQL #ETL #OLAP #DataManagement #Tech -
Unveiling the latest visual for 'Data Science for the Modern Enterprise'! This one maps the crucial journey from raw data to meaningful insights, covering Database Design and Data Warehouse Design.
It's the backbone of any robust data strategy! What are the biggest challenges you've faced in designing or maintaining effective databases and data warehouses? Let's connect and share experiences! 👇
#DatabaseDesign #DataWarehouse #DataScience #DataArchitecture #SQL #ETL #OLAP #DataManagement #Tech -
How Tabby built a scalable DWH on GCP: BigQuery core, Debezium→Pub/Sub near-real-time sync, layered data architecture and practical lessons for analytics. https://hackernoon.com/the-price-of-bigquery-and-the-true-cost-of-being-data-driven #datawarehouse
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How Tabby built a scalable DWH on GCP: BigQuery core, Debezium→Pub/Sub near-real-time sync, layered data architecture and practical lessons for analytics. https://hackernoon.com/the-price-of-bigquery-and-the-true-cost-of-being-data-driven #datawarehouse
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#KRITIS Sektor #Banken und #Versicherungen
Wieder ein Skandal - #Paypal: Deutsche Banken blockieren Zahlungen in Milliardenhöhe
"Der Cybersicherheitsexperte Manuel Atug erklärt den Vorfall bei dem #Zahlungsdienstleister so: „Paypal hat eine sogenannte Fraud-Erkennung. Das bedeutet: In einem #Datawarehouse speichert Paypal viele Millionen #Datensätze über die Nutzerinnen und deren übliches #Zahlungsverhalten mittels sogenanntem #Profiling.“..."
https://www.rnd.de/wirtschaft/paypal-probleme-deutsche-banken-blockieren-lastschrifen-in-milliardenhoehe-CPLCCD735NAG7BAIIF5LQOBP5Q.html -
Paris: Apache Iceberg Paris Community Meetup #1, Le jeudi 19 juin 2025 de 18h00 à 21h30. https://www.agendadulibre.org/events/32653 #data #dataLakehouse #dataEngineer #dataScience #dataPlatform #dataWarehouse #apacheIceberg