Databases

Big Data for Data Engineers

  • 4 weeks

This course introduces you to essential concepts in handling vast datasets, equipping you with the ability to implement an effective data solution.

  • Section 1 Introduction to Big Data and Data Engineering
    Milestone 2: Understand Big Data concepts, challenges, and the role of a data engineer.
  • Section 2 Data Ingestion & Integration
    Milestone 3: Gain skills in moving data from sources into Big Data systems.
  • Section 3 Big Data Architecture & Ecosystem
    Milestone 4: Learn the building blocks of Big Data systems and common architectures.

Course Overview

In today’s data-driven world, organizations grapple with the complexities of managing and extracting value from large volumes of data. In this course, Big Data for Data Engineers, you’ll gain the ability to architect and implement robust data solutions. First, you’ll explore the foundational concepts of big data by diving into its defining characteristics, understanding the history behind big data, and viewing the evolution of the big data technology landscape. Next, you’ll discover the key technologies in the big data ecosystem as well as how these tools efficiently process large amounts of data. Finally, you’ll learn how to design and implement scalable big data architectures by understanding the principles of a big data architecture design as well as the impact it has on business decision making. When you’re finished with this course, you’ll have the skills and knowledge of big data needed to implement a robust data solution that will empower organizations to derive valuable insights and stay ahead in a data-driven world.

Course prerequisites
  • Basics of databases (SQL + relational concepts)
  • Fundamentals of programming (Python/Java/Scala preferred)
  • Fundamentals of programming (Python/Java/Scala preferred)
  • Prior exposure to Linux shell commands
  • Familiarity with cloud platforms (Azure, AWS, or GCP) helpful

What you'll learn

  • Big Data Architecture & Ecosystem
  • Introduction to Big Data and Data Engineering
  • Data Ingestion & Integration

Course Curriculum

  • What is Big Data? (Volume, Variety, Velocity, Veracity) 11 mins
  • Data Engineer vs Data Scientist vs Data Analyst 12 mins
  • Big Data ecosystem overview 12 mins
  • Hadoop ecosystem (HDFS, YARN, MapReduce) 14 mins
  • Apache Spark fundamentals 12 mins
  • Lambda and Kappa architectures 13 mins
  • Batch ingestion (Sqoop, Apache Nifi) 11 mins
  • Streaming ingestion (Kafka, Flume) 14 mins
  • Working with APIs and connectors 15 mins
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James Bond

  • 4 course(s)
  • bond@gmail.com

Technical support workers help maintain, manage and repair IT systems. The role also involves diagnosing software or hardware Technical support workers help maintain, manage and repair IT systems. The role also involves diagnosing software or hardware faults and solving the issues over the phone or in person. It is a career with genuine prospects so if you love all things tech, read on to learn more about becoming a technical support worker. faults and solving the issues over the phone or in person. It is a career with genuine prospects so if you love all things tech, read on to learn more about becoming a technical support worker.

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Course Price

$10

This course introduces you to essential concepts in handling vast datasets, equipping you with the ability to implement an effective data solution.

Course Features
  • Self-Paced course
  • 4 weeks

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