Getting Started with Data Management

Learn the basics of how organizations deal with data. Analyze data using Python and SQL. Explore Hadoop and Hive.

Data Management is one of the most important competencies your company has. With Digital Transformation at the top of the strategic agenda for many large organizations, Data Governance and Data Management are vital to building a strong foundation for integration, analysis, execution, and overall business value. Business and data professionals are currently facing The Fourth Industrial Revolution’s convergence of megatrends around Customer 360, Artificial Intelligence, Big Data, programmatic marketing, and globalization. To survive these unrelenting business pressures, it’s more critical, and strategic, than ever to put your data to work!

What you’ll learn

  • Get started working with data.
  • Understand big data fundamentals.
  • Explore tabular data with Python.
  • Learn the fundamentals of SQL.
  • Use the ETL workflow for data integration.

Course Content

  • The Value of Data Management –> 2 lectures • 4min.
  • Understanding Data Governance –> 5 lectures • 11min.
  • Exploring Tabular Data –> 7 lectures • 20min.
  • Relational Database Basics –> 2 lectures • 6min.
  • Improving Data Quality –> 5 lectures • 13min.
  • Database Design –> 4 lectures • 7min.
  • SQL –> 11 lectures • 30min.
  • Up and Running with Ubuntu Linux –> 3 lectures • 8min.
  • Data Integration –> 7 lectures • 11min.
  • Understanding Big Data –> 7 lectures • 17min.
  • Data Management Careers –> 8 lectures • 9min.

Getting Started with Data Management

Requirements

  • If you know how to install software to your computer, you’re good to go.

Data Management is one of the most important competencies your company has. With Digital Transformation at the top of the strategic agenda for many large organizations, Data Governance and Data Management are vital to building a strong foundation for integration, analysis, execution, and overall business value. Business and data professionals are currently facing The Fourth Industrial Revolution’s convergence of megatrends around Customer 360, Artificial Intelligence, Big Data, programmatic marketing, and globalization. To survive these unrelenting business pressures, it’s more critical, and strategic, than ever to put your data to work!

In this course, you will learn about the various disciplines of data management. First, you will discover what Data Governance is and why you might want to implement a governance program for your organization, after which you will go through some very basic exploratory Data Analysis using the Python programming language.

Next up, you’ll cover basic Database Design, Data Quality essentials, and the fundamentals of the Structured Query Language. Then, you will get hands-on with some rudimentary Data Integration ETL, as well as Big Data with Hadoop.

Finally, you will explore the various disciplines in the Data Management space.

By the end of the course, you will have a firm understanding of enterprise data management and what the various disciplines do.