Data Engineering Podcast
AUGUST 13, 2022
In this episode founder Shayan Mohanty explains how he and his team are bringing software best practices and automation to the world of machine learning data preparation and how it allows data engineers to be involved in the process. Can you describe what Watchful is and the story behind it?
Christophe Blefari
APRIL 8, 2023
At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources.
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Christophe Blefari
APRIL 8, 2023
At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources.
Knowledge Hut
JUNE 20, 2023
The generalist position would suit a data scientist looking for a transition into a data engineer. Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team.
Knowledge Hut
JANUARY 30, 2024
Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.
Scott Logic
MARCH 25, 2024
There is a preferred workflow to guide a user through the steps of data preparation, analysis and visualisation but this workflow is not mandatory. Tableau has the greatest number of connectors for data sources, covering many databases, cloud services and Saas services such as SAP and Salesforce.
Knowledge Hut
DECEMBER 7, 2023
Power BI is a robust business analytics tool developed by Microsoft, designed to transform raw data into visually appealing and interactive insights. Users may execute data transformations and develop data models by connecting to a variety of data sources, including databases, spreadsheets, and web services.
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