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? What are your core goals at Watchful?
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.
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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? Identifying customer segments based on purchase behavior in a sales database.
Knowledge Hut
SEPTEMBER 26, 2023
It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. Azure provides the infrastructure and tools necessary to build, deploy, and manage applications and services efficiently.
ProjectPro
DECEMBER 16, 2021
If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.
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