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Why Data Analysts End Up Playing Data Detective

Dataversity

Many data analysts are getting a raw deal. For all the optimism around cloud-based systems promising to make Data Management easier, analysts often wind up playing detective ­– battling through huge information stores on the hunt for useful data, instead of running analysis.

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

JuMa is a service of BMW Group’s AI platform for its data analysts, ML engineers, and data scientists that provides a user-friendly workspace with an integrated development environment (IDE). JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

ML 154
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Define data ownership, access controls, and data management processes to maintain the integrity and confidentiality of your data. Data integration: Integrate data from various sources into a centralized cloud data warehouse or data lake. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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Exploring the Data Science vs Computer Science Debate

Data Science Dojo

Algorithms and Data Structures : Deep understanding of algorithms and data structures to develop efficient and effective software solutions. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

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Exploring the Data Science vs Computer Science Debate

Data Science Dojo

Algorithms and Data Structures : Deep understanding of algorithms and data structures to develop efficient and effective software solutions. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

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4 Ways To Boost Looker Performance in Data-Centric Companies

Smart Data Collective

This allows them to define business metrics that the entire company can agree and rely on so employees can analyze and explore data sets at their own leisure. This helps companies extract the maximum amount of value from their data sets.

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Future insights and challenges in data analytics with Aksinia Chumachenko

Dataconomy

It was my first job as a data analyst. The time I spent at Renault helped me realize that data analytics is something I would be interested in pursuing as a full-time career. Sometimes, data analysts forget to ask themselves this question. But I think it’s crucial to have a business mindset.

Analytics 113