AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Manage Data Cloud profile data ( Data Cloud_profile_api ).

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DataRobot

FEBRUARY 22, 2021

The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists. Here, in their own words, three graduates describe their backgrounds and experience.

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Pickl AI

DECEMBER 4, 2024

The Rise of Citizen Data Scientists The concept of citizen Data Scientists is gaining momentum as organisations strive to empower non-technical employees with the tools and knowledge needed to analyse data effectively. This foundational knowledge is essential for any Data Science project.

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Dataversity

MARCH 17, 2021

Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City. And the demand for data scientists […].

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Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. While an RDBMS can still be used in a modern data stack, it is not as common because it is not as well-suited for managing big data.

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Dataconomy

MARCH 19, 2025

Roles of data professionals Various professionals contribute to the data science ecosystem. Data scientists are the primary practitioners, employing methodologies to extract insights from complex datasets. Essential technical skills Data preparation and mining: Proficiency in cleaning and organizing data effectively.

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Dataconomy

MARCH 5, 2025

Qualifications and required skills A robust educational foundation and skill set are essential for data scientists: Educational background: Most data scientists have a bachelor’s degree in a related field, with a substantial portion holding masters degrees.

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