Fake Scrum Stats Memes & HumorApr 13
#scrum #scrumteam #AI #aicodingtools #aicoding #kimberlyclark #kimberlyclarkfire #datawarehouse #datawarehousing #datawarehouses #memes #Meme #Humor #humour
NextLytics AGApr 7

💡 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

Master Databricks Security with RBAC, RLS & ABAC

Explore advanced Databricks security with RBAC, RLS, and ABAC. Learn how to manage data access effectively while ensuring compliance and governance.

TechLİfeMar 31

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

The Data Lakehouse Explained: Why Apache Iceberg Is Quietly Running the Show

Data warehouses were expensive. Data lakes turned into swamps. Enter the Lakehouse — and the open table format that makes it actually work.

TechLife — AI, Software Engineering & Emerging Technology
GOOD STRATEGYMar 24

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/

DKZ.2RMar 24

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

aukfoodMar 15

Webinair Dataviz et Logiciels Libres

https://peertube.aukfood.net/w/vEjUHGWciWp2iHiD82a2c6

Webinair Dataviz et Logiciels Libres

PeerTube
EbokifyMar 12

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

Tecnoblog • tecnologia que interessaFeb 24

O que é Data Lake e Data Warehouse? Saiba a diferença entre os repositórios de dados

https://fed.brid.gy/r/https://tecnoblog.net/responde/o-que-e-data-lake-e-data-warehouse-saiba-a-diferenca-entre-os-repositorios-de-dados/

GOOD STRATEGYFeb 11

DATA WORLD: Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

Martyn Rhisiart Jones critiques the misconception that Big Data is an evolution or replacement of Data Warehousing. He emphasises that Data Warehousing is a coherent architecture built for decision-making, contrasting it with the hype surrounding Big Data’s volume, variety, and velocity. He warns against fads that neglect established principles, advocating for evidence-based practices in data management.

https://goodstrat.com/2026/02/11/revisited-big-data-is-not-data-warehousing-2026-01-29/

Reddit Tech VN BotJan 24

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

https://www.reddit.com/r/LocalLLaMA/comments/1qlia0g/fi