- Cloud Storage
- Data Analysis
- Big Data
- Cloudera
- SQL
- Database (DBMS)
- Data Warehousing
- Apache Hive
- Apache Impala
- Data Management
- Distributed File Systems
Modern Big Data Analysis with SQL 专项课程
Learn Data Analysis for Big Data. Master using SQL for data analysis on distributed big data systems
提供方
您将学到的内容有
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
您将获得的技能
关于此 专项课程
应用的学习项目
Each course in this Specialization includes a hands-on, peer-graded assignment. To earn the Specialization Certificate, you must successfully complete the hands-on, peer-graded assignment in each course. For this Specialization, there is not a separate Capstone Project like there is in some other Coursera Specializations.
无需相关领域的预备知识无需相关经验。
无需相关领域的预备知识无需相关经验。
专项课程的运作方式
加入课程
Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习,请直接注册专项课程,或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时,您将自动订阅整个专项课程。您可以只完成一门课程,您可以随时暂停学习或结束订阅。访问您的学生面板,跟踪您的课程注册情况和进度。
实践项目
每个专项课程都包括实践项目。您需要成功完成这个(些)项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程,则需要在开始之前完成其他所有课程。
获得证书
在结束每门课程并完成实践项目之后,您会获得一个证书,您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

此专项课程包含 3 门课程
Foundations for Big Data Analysis with SQL
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.
Analyzing Big Data with SQL
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.
Managing Big Data in Clusters and Cloud Storage
In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.
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.
常见问题
退款政策是如何规定的?
我可以只注册一门课程吗?
有助学金吗?
我可以免费学习课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程后我会获得大学学分吗?
Should I take the courses in a specific order?
Is there a fourth course in this Specialization?
What are the hardware and software requirements for the exercise environment?
Will I earn the Cloudera Certified Associate (CCA) Data Analyst credential for completing this Specialization?
What is the hands-on Capstone Project for this Specialization?
I want to purchase this Specialization for my employees! How can I do that?
还有其他问题吗?请访问 学生帮助中心。