本课程是 Modern Big Data Analysis with SQL 专项课程专项课程的一部分

4.9
星
473 个评分

Ian Cook

22,891 人已注册

提供方

Modern Big Data Analysis with SQL 专项课程Cloudera

课程信息

27,714 次近期查看

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.
By the end of the course, you will be able to
• explore and navigate databases and tables using different tools;
• 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; and 
• combine multiple tables in different ways.

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)

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 2 门课程（共 3 门）

Modern Big Data Analysis with SQL 专项课程

初级

完成时间大约为18 小时

英语（English）

字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

您将学到的内容有

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

您将获得的技能

Apache Hive
Apache Impala
Data Analysis
Big Data
SQL

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 2 门课程（共 3 门）

Modern Big Data Analysis with SQL 专项课程

初级

完成时间大约为18 小时

英语（English）

授课教师

授课教师评分

4.9/5 （110 个评分）

Ian Cook

Staff Curriculum Developer

Cloudera

24,750 个学生

2 门课程

提供方

Cloudera

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.

授课大纲 - 您将从这门课程中学到什么

内容评分96%（2,252 个评分）

周

周 1

完成时间为 3 小时

Orientation to SQL on Big Data

完成时间为 3 小时

9 个视频（总计 47 分钟）, 5 个阅读材料, 2 个测验

9 个视频

Welcome to the Course4分钟

Review and Preparation4分钟

Using the Hue Query Editors7分钟

Running SQL Utility Statements6分钟

Running SQL SELECT Statements5分钟

Understanding Different SQL Interfaces4分钟

Overview of Beeline and Impala Shell2分钟

Using Beeline8分钟

Using Impala Shell3分钟

5 个阅读材料

Instructions for Downloading and Installing the Exercise Environment30分钟

Troubleshooting the VM5分钟

(Optional) What about Spark SQL?10分钟

Expectations for Learners10分钟

(Optional) Using Other SQL Engines10分钟

2 个练习

Week 1 Core Quiz30分钟

Week 1 Honors Quiz5分钟

周

周 2

完成时间为 3 小时

SQL SELECT Essentials

完成时间为 3 小时

16 个视频（总计 83 分钟）, 4 个阅读材料, 2 个测验

16 个视频

Introduction2分钟

SQL SELECT Building Blocks2分钟

Introduction to the SELECT List7分钟

Expressions and Operators7分钟

Data Types6分钟

Column Aliases5分钟

Built-In Functions7分钟

Data Type Conversion5分钟

The DISTINCT Keyword5分钟

Introduction to the FROM Clause3分钟

Identifiers7分钟

Formatting SELECT Statements4分钟

Using Beeline in Non-Interactive Mode5分钟

Using Impala Shell in Non-Interactive Mode4分钟

Formatting the Output of Beeline and Impala Shell4分钟

Saving Hive and Impala Query Results to a File5分钟

4 个阅读材料

Order of Operations5分钟

Division and Modulo Operators15分钟

Common String Functions15分钟

Case (In)Sensitivity in SQL10分钟

2 个练习

Week 2 Core Quiz30分钟

Week 2 Honors Quiz5分钟

周

周 3

完成时间为 3 小时

Filtering Data

完成时间为 3 小时

14 个视频（总计 85 分钟）, 6 个阅读材料, 2 个测验

14 个视频

Introduction1分钟

About the Datasets4分钟

Introduction to the WHERE Clause2分钟

Using Expressions in the WHERE Clause9分钟

Comparison Operators9分钟

Data Types and Precision4分钟

Logical Operators7分钟

Other Relational Operators4分钟

Understanding Missing Values8分钟

Handling Missing Values6分钟

Conditional Functions9分钟

Using Variables with Beeline and Impala Shell7分钟

Calling Beeline and Impala Shell from Scripts6分钟

Querying Hive and Impala in Scripts and Applications2分钟

6 个阅读材料

Data Reference5分钟

(Optional) Unicode Characters10分钟

Working with Literal Strings15分钟

Missing Values with Logical Operators10分钟

Missing Values in String Columns5分钟

(Optional Exercise) Change VM Desktop Color30分钟

2 个练习

Week 3 Core Quiz30分钟

Week 3 Honors Quiz5分钟

周

周 4

完成时间为 3 小时

Grouping and Aggregating Data

完成时间为 3 小时

15 个视频（总计 82 分钟）, 6 个阅读材料, 2 个测验

15 个视频

Introduction1分钟

Introduction to Aggregation2分钟

Common Aggregate Functions2分钟

Using Aggregate Functions in the SELECT Statement8分钟

Introduction to the GROUP BY Clause6分钟

Choosing an Aggregate Function and Grouping Column4分钟

Grouping Expressions6分钟

Grouping and Aggregation, Together and Separately5分钟

NULL Values in Grouping and Aggregation4分钟

The COUNT Function7分钟

Tips for Applying Grouping and Aggregation7分钟

Filtering on Aggregates2分钟

The HAVING Clause8分钟

Understanding Hive and Impala Version Differences10分钟

Understanding Hue Version Differences2分钟

6 个阅读材料

COUNT(*) and SUM(1)5分钟

Interpreting Aggregates: Populations and Samples10分钟

The least and greatest Functions5分钟

Why Aggregate Expressions Ignore NULL Values5分钟

(Optional) Shortcuts for Grouping10分钟

How Grouping and Aggregation Can Mislead10分钟

2 个练习

Week 4 Core Quiz30分钟

Week 4 Honors Quiz10分钟

审阅

4.9

131 条评论

5 stars
88.72%
4 stars
9.63%
3 stars
0.81%
2 stars
0.40%
1 star
0.40%

来自ANALYZING BIG DATA WITH SQL的热门评论

由 GH 提供Apr 25, 2020

Great course. Nice assignment at the end. Maybe you could add a couple of more assignments.

由 FT 提供Jul 9, 2020

I have took many SQL courses but this is one of the best ,I highly recommend this course to beginners, It takes you from zero to hero.

由 AF 提供Dec 29, 2020

Brilliant course, one of the best I have done on Coursera! The teaching is phenomenal - thanks guys!

由 ES 提供Nov 23, 2020

Great overview of SQL. Some decent hands-on and well thought-of quiz questions. Recommended even for people who might know SQL somewhat, but never had a structured overview of it.

查看所有评论

关于 Modern Big Data Analysis with SQL 专项课程

This Specialization teaches the essential skills for working with large-scale data using SQL.

Maybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.

常见问题

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
有助学金吗？
是的。如果您负担不起学习计划的注册费，则可以在选择学习计划时申请助学金或奖学金。如果您选择的学习计划提供助学金或奖学金，则您将在描述页面上看到一个申请链接。
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)

还有其他问题吗？请访问学生帮助中心。

Analyzing Big Data with SQL