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The Race For Data Quality in a Medallion Architecture

DataKitchen

Bronze layers can also be the raw database tables. We have also seen a fourth layer, the Platinum layer , in companies’ proposals that extend the Data pipeline to OneLake and Microsoft Fabric. The need to copy data across layers, manage different schemas, and address data latency issues can complicate data pipelines.

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Data News — Week 23.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. Rare footage of a foundation model ( credits ) Fast News ⚡️ Twitter's recommendation algorithm — It was an Elon tweet. I hope he will fill the gaps.

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Data News — Week 13.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. Rare footage of a foundation model ( credits ) Fast News ⚡️ Twitter's recommendation algorithm — It was an Elon tweet. I hope he will fill the gaps.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Modeling using multiple algorithms. Data Engineers are skilled professionals who lay the foundation of databases and architecture.

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The Rise of the Data Engineer

Maxime Beauchemin

Storage and compute is cheaper than ever, and with the advent of distributed databases that scale out linearly, the scarcer resource is engineering time. The use of natural, human readable keys and dimension attributes in fact tables is becoming more common, reducing the need for costly joins that can be heavy on distributed databases.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

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