Data Engineer

"Data Engineering Excellence: Shaping the Digital Landscape, One Byte at a Time."

"Dive into the heart of data infrastructure with our comprehensive data engineering course. From data collection and storage to processing and analysis, explore the entire data lifecycle. Learn essential concepts such as ETL (Extract, Transform, Load), data modeling, and data warehousing. Master key technologies including Apache Hadoop, Spark, and cloud platforms like AWS and Azure. Gain hands-on experience through real-world projects, preparing you to design, build, and maintain scalable data pipelines and systems."

Course Overview

📗Introduction to Data Engineering:
Learn about the role of data engineers, their responsibilities, and the importance of data infrastructure.
📗Data Modeling and Warehouse Design:
Understand how to design effective data models and architect data warehouses that support scalability and performance.
📗Big Data Technologies:
Gain proficiency in big data tools and platforms like Hadoop, Spark, and Kafka for processing large datasets.
📗Data Pipeline and ETL Processes:
Explore techniques for building robust data pipelines and performing extract, transform, load (ETL) operations efficiently.
📗Cloud Data Solutions:
Master how to leverage cloud services such as AWS, Google Cloud, and Azure for data storage, processing, and analytics

>Basics
>Print
>variables
>Loop
>Function
>Data types
>list
>Set
>tuple
>Dictionary
>Operators
>Arithmetic operators
>Assignment operators
>Comparison operators
>Logical operators
>Identity operators
>Membership operators

>Syntax
>Database
>Select
>Distinct
>Where
>order by
>and, or, not
>insert, null values, update, delete, select
>min, max, count, sum, like
>between , aliases, joins
>union, group by, having, exists, any, all
>stored procedures, comments

>Basics of ETL

>Basics of Cloud computing

>major projects

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