Cloudera - Analyzing Big Data with SQL
4.0 /5- Offered byCoursera
- Public/Government Institute
Analyzing Big Data with SQL at Coursera Overview
Analyzing Big Data with SQL
at Coursera
Duration | 27 hours |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Analyzing Big Data with SQL
Table of contents
- Overview
- Highlights
- Course Details
- Curriculum
- Entry Requirements
- + 1 more item
Analyzing Big Data with SQL at Coursera Highlights
Analyzing Big Data with SQL
at Coursera
- Requires effort of 9 hours per week
- Offered by Cloudera
- Learn in-depth knowledge from senior instructor of Cloudera
- Earn a certificate upon successful completion
Read more
Analyzing Big Data with SQL at Coursera Course details
Analyzing Big Data with SQL
at Coursera
What are the course deliverables?
- Understand the basics of SELECT statements
- Understand how and why to filter results
- Explore grouping and aggregation to answer analytic questions
- Work with sorting and limiting results
More about this course
- In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.
Analyzing Big Data with SQL at Coursera Curriculum
Analyzing Big Data with SQL
at Coursera
Week 1: Orientation to SQL on Big Data
Week 2: SQL SELECT Essentials
Week 3: Filtering Data
Week 4: Grouping and Aggregating Data
Week 5: Sorting and Limiting Data
Week 6: Combining Data
Analyzing Big Data with SQL at Coursera Entry Requirements
Analyzing Big Data with SQL
at Coursera
Eligibility criteria
- 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
Conditional Offer
- Not mentioned
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