Embark on an exciting journey into the world of data engineering with the "Introduction to Data Engineering" course offered by IBM. This beginner-friendly course provides a thorough introduction to the fundamental concepts, processes, and tools necessary to establish a strong foothold in the field of data engineering.
Throughout the course, you will delve into the roles and responsibilities of data engineers, data scientists, and data analysts within the data ecosystem. Gain insights into the modern data ecosystem, data repositories, and various data processing tools. You will also explore the data engineering lifecycle, including data platform architecture, data stores design, data security, governance, compliance, data wrangling, querying, and analysis. Additionally, the course sheds light on career opportunities and paths in the data engineering domain, featuring advice from experienced data engineers.
By the end of this course, you will have practical experience in working with relational databases, loading data, and performing basic querying operations. Whether you are looking to kickstart a career in data engineering or enhance your existing knowledge, this course equips you with the essential skills and knowledge to thrive in this rapidly growing field.
Certificate Available ✔
Get Started / More Info
Discover the core concepts, tools, and skills essential for a career in data engineering through this course. From understanding the modern data ecosystem to exploring data repositories and processing tools, each module provides valuable insights and hands-on experience.
Welcome to the "What is Data Engineering?" module, where you'll gain insights into the roles and responsibilities of data engineers, data scientists, and data analysts. Understand the modern data ecosystem, the types of data structures, file formats, and sources of data. Discover the languages used by data professionals and the components of a data platform.
In the "The Data Engineering Ecosystem" module, you will explore the various types of data and file formats, along with different sources of data. Gain an understanding of data repositories such as Relational Databases, NoSQL, Data Warehouses, Data Marts, and Data Lakes. Delve into ETL, ELT, Data Pipelines, and Big Data processing tools like Apache Hadoop and Spark.
The "Data Engineering Lifecycle" module takes you through architecting the data platform, designing data stores, data security, gathering and importing data, data wrangling, querying, analyzing data, performance tuning, troubleshooting, governance, compliance, and an optional overview of the DataOps methodology. You will also engage in hands-on labs to reinforce your learning.
Explore "Career Opportunities and Data Engineering in Action" to gain insights into career paths and opportunities in the data engineering domain. Learn about the skills and qualities employers seek in data engineers and the diverse paths to a career in data engineering. Benefit from advice shared by experienced data engineers and set your sights on a rewarding career in this field.
Oracle SQL Databases is a beginner-friendly Specialization that equips learners with the skills to proficiently create, modify, and manage Oracle SQL Databases.
Learn to create a project tracker using Airtable, a cloud collaboration service that combines databases and spreadsheets. No prior experience needed.
Exploring and Preparing Your Data with BigQuery - Português is a comprehensive course that equips you with the skills to analyze and transform data using BigQuery...