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Best Data Engineering with Azure Course in Bangalore – Master the Art of Data Management!

Join the Data Engineering with Azure course today! Advanced courses for data engineers and professionals looking to enhance their skills. Get the option of EMI and receive support for placements!
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Course Duration: 90h
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About Course

This 90-hour Data Engineering with Azure Course covers all the important concepts and skills you need to become a data engineer in the Azure environment. Our Data Engineering Courses offer more than just traditional training. They provide participants with practical skills and real-world insights into the dynamic field of data engineering. Graduates emerge with the ability to design, implement, and optimize data solutions, contributing to efficient data management practices. Benefit from the best data engineering course in Bangalore with flexible EMI options, a comprehensive syllabus, and certification upon completion.

Take the first step toward becoming a proficient data engineer and shaping the future of data management! Participants in the course will learn about different data engineering concepts in Azure, including data ingestion, data transformation, and data storage. Students will gain practical experience with commonly used data engineering tools and technologies, including Azure Data Factory, Azure Databricks, and Azure SQL Database.

This course focuses on practical skills and real-world applications. It prepares graduates for success in the rapidly changing field of data engineering. Whether you have experience or are new to data management, this course will help you create efficient data solutions and shape the future of the industry.

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world projects should be incorporated throughout the sessions to reinforce learning.

What you’ll learn

     Foundations of Data Engineering and role of a data engineer

     Overview of data engineering tools and platforms

     Data Modeling and Database Design

     Principles of data modeling for efficient databases

     Designing relational and NoSQL databases

     Big Data Technologies

     Introduction to big data ecosystems (Hadoop, Spark)

     Utilizing big data technologies for large-scale processing

     Cloud-Based Data Engineering with Azure

     Overview of Azure cloud services for data engineering

     Building data pipelines with Azure Data Factory

     Data Warehousing and ETL Processes

     Implementing Extract, Transform, Load (ETL) processes

Requirements

  • Basic Programming Knowledge: Familiarity with programming languages like Python or Java.
  • Database Fundamentals: Understanding of basic database concepts.

Course Content

Introduction to Data Engineering (5 hours)

  • Role of a data engineer in modern organizations
  • Overview of data engineering tools and platforms

Data Engineering Lifecycle (15 hours)

Principles of Data Modeling (8 hours)

Relational and NoSQL Databases (7 hours)

Introduction to Big Data Ecosystems (10 hours)

Big Data Processing with Apache Spark (10 hours)

Azure Cloud Services Overview (8 hours)

Building Data Pipelines with Azure Data Factory (17 hours)

Designing Data Warehouses for Analytics (5 hours)

Implementing ETL Processes (5 hours)

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Student Ratings & Reviews

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Course level:All Levels
Course Duration: 90h
Enrolled:0
Last Updated:March 9, 2024

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