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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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15 Power BI Projects Examples and Ideas for Practice

ProjectPro

Nearly 80% of industrial data is said to be ‘unstructured’ The global Business Intelligence market is forecasted to reach USD 33.3 Data insights, improved quality, and correct data condensed in a single document have become more critical. Product Sales Data Analysis 3. Covid-19 Insights Analysis 13.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. petabytes of data every hour!

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100+ Machine Learning Datasets Curated For You

ProjectPro

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Machine learning algorithms learn from data.

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Dat: Distributed Versioned Data Sharing with Danielle Robinson and Joe Hand - Episode 16

Data Engineering Podcast

Summary Sharing data across multiple computers, particularly when it is large and changing, is a difficult problem to solve. In order to provide a simpler way to distribute and version data sets among collaborators the Dat Project was created. To save 60% off your tickets go to dataengineeringpodcast.com/odsc-east-2018 and register.

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The Top Data Analytics and Science Influencers and Content Creators on LinkedIn

Databand.ai

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. But for all the nuggets of wisdom, there’s a lot of noise to sift through.