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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Using ETL in AWS Glue AWS Glue offers a fully managed serverless environment on the Amazon Web Services (AWS) Cloud where you can extract, transform, and load (ETL) your data. Integrating AWS Glue with Amazon Redshift A new Amazon Redshift Spark connector and JDBC driver are available with AWS Glue ETL jobs version 4.0.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

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What is Data Engineering? Everything You Need to Know in 2022

phData: Data Engineering

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.