Data Engineering

Data engineering is the process of designing, transforming, and architecting data infrastructure. Businesses rely on data engineers to create organized, meaningful data to make decisions. Get started in your dream data career with these resources.

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Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking

Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming

Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Data Infrastructure, Database Systems, Data Integration, AWS Kinesis, Infrastructure as Code (IaC)

Working with data is an exciting career path with in-demand skills. That's why we've collected resources on data engineering and other data topics, including:

  • AI and machine learning

  • Data analytics

  • Data basics

  • Data science

  • Generative AI and ChatGPT

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