Data Engineering

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About Course

Learn Data Engineering

Data Engineering is the process of designing, building, and maintaining systems that allow for the collection, storage, and analysis of large volumes of data. It is a crucial field within data science and analytics, focused on preparing data for analysis by cleaning, transforming, and organizing it into usable formats. Data engineers build and manage data pipelines, integrate different data sources, and ensure that data is stored and processed efficiently.

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Course Content

Introduction to Data Engineering and its Role

Data Warehousing and ETL (Extract, Transform, Load)

Data Modeling and Schema Design

Data Pipelines and Workflow Orchestration

Working with Databases: SQL and NoSQL

Big Data Technologies (Hadoop, Spark, etc.)

Cloud Data Engineering (AWS, Azure, GCP)

Data Storage Solutions (Data Lakes, Data Warehouses)

Real-time Data Processing and Stream Processing

Data Governance and Security

Data Engineering Best Practices and Case Studies

Your Instructors

Admin

srinivas