Remove 2020 Remove Data Preparation Remove Deep Learning Remove Hadoop
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How to Become a Big Data Engineer in 2023

ProjectPro

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer?

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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Data lakes emerged in the 2010s, suggesting that all of an enterprise’s structured, unstructured, and semi-structured data should be stored together in a single location. Data Lake Vs. Data Warehouse: Latest Industry Stats . The Global Data-Warehouse-as-a-Service Market is expected to be worth USD 2,311.51

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Build and Deploy ML Models with Amazon Sagemaker

ProjectPro

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. With over 100,000 active users globally, Amazon SageMaker has quickly become a go-to tool for companies looking to incorporate machine learning into their products or services.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This role is gradually picking up the pace of popularity and is on the verge of beating Data Scientist as the sexiest job of the 21st century. According to a Dice Tech Job Report - 2020 , it’s happening, i.e., the demand for Data Engineering roles is boosting up. The second stage is data preparation.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. To grasp how DevOps principles can be integrated into machine learning, read our article on MLOps methods and tools. In brief, AutoML promises to. AutoML use cases.