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Data News — Week 23.14

Christophe Blefari

I did not care about data modeling for years. I was in the Hadoop world and all I was doing was denormalisation. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. Denormalisation everywhere.

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Data News — Week 13.14

Christophe Blefari

I did not care about data modeling for years. I was in the Hadoop world and all I was doing was denormalisation. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. Denormalisation everywhere.

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Assess the needs and goals of the business.

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Machine Data: For IoT applications, sensor data extraction is used to collect information from devices, machinery, or sensors, enabling real-time monitoring and analysis. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g.,

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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

Key Features of Azure Synapse Here are some of the key features of Azure Synapse: Cloud Data Service: Azure Synapse operates as a cloud-native service, residing within the Microsoft Azure cloud ecosystem. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.