In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
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來自FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL的熱門評論
Very good Introductory course for getting to know about Big Data . The course structure is well made,I really liked how it took basic Database concepts and then relating that to Big Data.
Awesome foundation to build on skills of query and analysis of big data and to use big data technologies like Hive and Impala I Really enjoyed the course and the instructor is perfect
no real hands down, just a bunch of videos, in the end you end up installing a VM with some database samples, but again, no real hands down beyond that, you are on your own to learn...
If you don't have any background about SQL and you don't know where to start, I think this is the best course to start. It simplifies the concepts into easy ideas to be understandable.
關於 Modern Big Data Analysis with SQL 專項課程
This Specialization teaches the essential skills for working with large-scale data using SQL.
Is financial aid available?
What are the hardware and software requirements for the exercise environment?
• 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)