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

Webinair Dataviz et Logiciels Libres

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

#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.

✅ Task parallelization
✅ Uber jobs for small transfers
✅ Improved observability

Result: 5× replication capacity & seamless on-prem-to-cloud migration.

Read more: https://bit.ly/4bwUUFt

#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake

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/

Most ML issues are not model problems. They are data problems.

I retrained the same churn model twice.
Same code. Same path to the data.
Different result.

Why? Because of mutable data references.

 I wrote a small Data Lake vs Data Lakehouse demo showing why versioned data makes ML debugging reproducible: https://tinyurl.com/lake-vs-lakehouse-medium

 Friend-Link: https://medium.com/towards-artificial-intelligence/from-data-lake-to-data-lakehouse-why-ai-changes-the-rules-for-data-platforms-c78feab48e1c?sk=405811cbc10baa4622bcfcad90736ed4

#ai #machinelearning #data #lakehouse #warehouse #python #datalake #technology #regression

Процедурное SQL-расширение в Lakehouse-платформе – новые возможности для работы с данными

Вас приветствует команда Data Sapience, и в сегодняшней публикации мы расскажем о реализации процедурного расширения для работы с MPP-движками Lakehouse-платформы данных Data Ocean Nova, которое стало доступным для пользователей. В материале пойдет речь о возможностях, применимости и сценариях использования процедурного языка в аналитической платформе данных и примеры реализации решения типовых задач.

https://habr.com/ru/companies/datasapience/articles/987006/

#lakehouse #impala #starrocks #bigdata #dwh #datalakehouse #datalake #bi

Shifting Left delivers clean, reliable, and accessible data to everyone who needs it - right when they need it.

The result? Less complexity, lower overhead, and far less break-fix work, freeing teams to focus on higher-value problems.

At the core of a #ShiftLeft strategy are Data Products. They form the backbone of healthy data communication and ensure quality is built in - not patched on later.

📖 Great insights from this #InfoQ article on rethinking the Medallion Architecture: https://bit.ly/3WHjxsf

#SoftwareArchitecture #DataMesh #DataEngineering #DataLake #DataPipelines

via #Microsoft : Microsoft announces acquisition of Osmos to accelerate autonomous data engineering in Fabric

https://ift.tt/MpyJ38g
#Microsoft #Osmos #DataEngineering #AI #AutonomousAI #MicrosoftFabric #DataAnalytics #DataWorkflows #DataIntegration #BigData #DataLake #OneLak…