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Data Engineering

Explore articles about data engineering, data architecture, and data transformation. Learn about data engineering careers, essential technical skills, and how to build organized, meaningful data that supports business decisions.

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Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Linux Commands, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

Skills you'll gain: Data Store, Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Extract, Transform, Load, Data Lakes, Data Integration, Infrastructure as Code (IaC), Data Management

Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Pipelines, Feature Engineering, Data Governance, Extract, Transform, Load, Enterprise Architecture, Solution Architecture, Dataflow, AI Security, Test Data, Model Evaluation, AI Workflows, AI Enablement, Data Processing, Data Quality, Operational Databases, Data Store, Software Documentation, Dependency Analysis

In today's data-driven world, professionals skilled in data disciplines are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within data engineering to start your journey in this exciting and rewarding domain.

Ready to start learning? Explore our catalog of data engineering, big data, and database administration courses for beginners and experienced professionals.

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