Sun.Apr 07, 2024

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Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem.

Data Lake 162
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Data Engineering Weekly #166

Data Engineering Weekly

dbt: 2024 State of Analytics Engineering The 2024 dbt’s state of analytical engineering report is out. Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

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How to make ChatGPT do anything you want by Charlie Olive

Scott Logic

Introduction OpenAI released an early demo of ChatGPT on the 30th of November 2022. Since then, it has propelled the general public’s awareness of the power of Large Language Models (LLM). In other words, ChatGPT was the first viral AI-powered ChatBot. These Generative Pre-Trained Transformers take a prompt (a block of written text with no other context) and will attempt at producing a coherent written response.

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