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.
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課程信息
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第 1 門課程（共 3 門）
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初級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
您將學到的內容有
Distinguish operational from analytic databases, and understand how these are applied in big data
Understand how database and table design provides structures for working with data
Appreciate how differences in volume and variety of data affects your choice of an appropriate database system
Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis
您將獲得的技能
Database (DBMS)Data WarehousingData AnalysisBig DataSQL
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 3 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
初級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Data and Databases
In this week, you'll get an overview of this Specialization and of Course 1. Then you'll learn about database systems and the distinction between operational and analytic databases.
完成時間為 2 小時
11 個視頻 （總計 50 分鐘）, 4 個閱讀材料, 1 個測驗
11 個視頻
Welcome to the Course and Week 13分鐘
What Is Data?3分鐘
Why Organize Data?5分鐘
What Does a DBMS Do?5分鐘
Relational Databases and SQL6分鐘
The Success of RDBMSs and SQL4分鐘
Operational and Analytic Databases5分鐘
Comparing Operational and Analytic DBs: SELECT Statements2分鐘
Comparing Operational and Analytic DBs: DML Activity4分鐘
Operational and Analytic Databases: Further Comparisons1分鐘
4 個閱讀材料
Hardware Requirements for the Exercise Environment10分鐘
Data Extraction from Digital Images10分鐘
Three Notes about SQL10分鐘
References10分鐘
1 個練習
Data and Databases30分鐘
完成時間為 3 小時
Relational Databases and SQL
完成時間為 3 小時
15 個視頻 （總計 80 分鐘）, 3 個閱讀材料, 1 個測驗
15 個視頻
Introducing Table Schemas3分鐘
NULL Values3分鐘
Data Types3分鐘
Primary Keys5分鐘
Foreign Keys6分鐘
Two Strategies for Database Design3分鐘
Database Normalization8分鐘
Denormalization5分鐘
Differences6分鐘
Trade-offs4分鐘
Database Transactions6分鐘
ACID6分鐘
Enforcing Business Rules: Constraints and Triggers7分鐘
Business Rules and ACID for Analytics?6分鐘
3 個閱讀材料
Let There Be Third Normal Form5分鐘
SELECT Statements in Transactions5分鐘
Database Indexes30分鐘
1 個練習
Relational Databases30分鐘
完成時間為 2 小時
Big Data
完成時間為 2 小時
12 個視頻 （總計 63 分鐘）, 1 個閱讀材料, 1 個測驗
12 個視頻
How Big Is Big Data?3分鐘
Distributed Storage6分鐘
Distributed Processing9分鐘
Structured Data4分鐘
Unstructured Data4分鐘
Semi-Structured Data3分鐘
Strengths of Traditional RDBMSs4分鐘
Limitations of Traditional RDBMSs7分鐘
SQL and Structured Data5分鐘
SQL and Semi-structured Data4分鐘
SQL and Unstructured Data7分鐘
1 個閱讀材料
What about Velocity?15分鐘
1 個練習
Big Data30分鐘
完成時間為 2 小時
SQL Tools for Big Data Analysis
完成時間為 2 小時
12 個視頻 （總計 53 分鐘）, 1 個閱讀材料, 1 個測驗
12 個視頻
Big Data Analytic Databases (Data Warehouses)2分鐘
NoSQL: Operational, Unstructured and Semi-structured4分鐘
Non-transactional, Structured Systems2分鐘
Big Data ACID-Compliant RDBMSs1分鐘
Search Engines4分鐘
Challenges4分鐘
What We Keep3分鐘
What We Give Up5分鐘
What We Add8分鐘
Where to Store Big Data7分鐘
Coupling of Data and Metadata7分鐘
1 個閱讀材料
Open Source and Apache15分鐘
1 個練習
SQL Tools for Big Data Analysis30分鐘
審閱
來自FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL的熱門評論
由 AG 提供2019年9月27日
The course is an excellent overview of database technologies and introduction into big data. Useful also for those who already worked with a few SQL engines. MIllion thanks to the creators! :)
由 AE 提供2019年9月9日
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
由 RM 提供2020年6月15日
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...
由 AA 提供2019年8月14日
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.
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.
常見問題
我什么时候能够访问课程视频和作业？
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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。
退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
有助学金吗？
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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)
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