Managing Big Data in Clusters and Cloud Storage (Coursera)

By the end of the course, you will be able to
• use different tools to browse existing databases and tables in big data systems;
• use different tools to explore files in distributed big data filesystems and cloud storage;
• create and manage big data databases and tables using Apache Hive and Apache Impala; and
• describe and choose among different data types and file formats for big data systems.
To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:
• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)
• 64-bit operating system (32-bit operating systems will not work)
• 8 GB RAM or more
• 25GB free disk space or more
• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;
on Windows and Linux computers, you might need to enable it in the BIOS)
• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

What You Will Learn

• Use different tools to browse existing databases and tables in big data systems
• Use different tools to explore files in distributed big data filesystems and cloud storage
• Create and manage big data databases and tables using Apache Hive and Apache Impala
• Describe and choose among different data types and file formats for big data systems

Course 3 of 3 in the Modern Big Data Analysis with SQL Specialization.

Syllabus

WEEK 1: Orientation to Data in Clusters and Cloud Storage
WEEK 2: Defining Databases, Tables, and Columns
WEEK 3: Data Types and File Types
WEEK 4: Managing Datasets in Clusters and Cloud Storage
WEEK 5: Optimizing Hive and Impala (Honors)