This course is part of the Modern Big Data Analysis with SQL Specialization

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1,052 ratings

Glynn Durham

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Offered By

Modern Big Data Analysis with SQL SpecializationCloudera

About this Course

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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.
By the end of the course, you will be able to
• 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; and 
• explore databases and tables in a big data platform.

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)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 3 in the

Modern Big Data Analysis with SQL Specialization

Beginner Level

Approx. 11 hours to complete

English

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What you will learn

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

Skills you will gain

Database (DBMS)
Data Warehousing
Data Analysis
Big Data
SQL

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 3 in the

Modern Big Data Analysis with SQL Specialization

Beginner Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.78/5 (303 Ratings)

Glynn Durham

Offered by

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.

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Syllabus - What you will learn from this course

Content Rating96%(4,843 ratings)

Week1

Week 1

2 hours to complete

Data and Databases

2 hours to complete

11 videos (Total 50 min), 4 readings, 1 quiz

11 videos

Welcome to the Specialization6mWelcome to the Course and Week 13mWhat Is Data?3mWhy Organize Data?5mWhat Does a DBMS Do?5mRelational Databases and SQL6mThe Success of RDBMSs and SQL4mOperational and Analytic Databases5mComparing Operational and Analytic DBs: SELECT Statements2mComparing Operational and Analytic DBs: DML Activity4mOperational and Analytic Databases: Further Comparisons1m

4 readings

Hardware Requirements for the Exercise Environment10mData Extraction from Digital Images10mThree Notes about SQL10mReferences10m

1 practice exercise

Data and Databases30m

Week2

Week 2

3 hours to complete

Relational Databases and SQL

3 hours to complete

15 videos (Total 80 min), 3 readings, 1 quiz

15 videos

Welcome to Week 21mIntroducing Table Schemas3mNULL Values3mData Types3mPrimary Keys5mForeign Keys6mTwo Strategies for Database Design3mDatabase Normalization8mDenormalization5mDifferences6mTrade-offs4mDatabase Transactions6mACID6mEnforcing Business Rules: Constraints and Triggers7mBusiness Rules and ACID for Analytics?6m

3 readings

Let There Be Third Normal Form5mSELECT Statements in Transactions5mDatabase Indexes30m

1 practice exercise

Relational Databases30m

Week3

Week 3

2 hours to complete

Big Data

2 hours to complete

12 videos (Total 63 min), 1 reading, 1 quiz

Week4

Week 4

2 hours to complete

SQL Tools for Big Data Analysis

2 hours to complete

12 videos (Total 53 min), 1 reading, 1 quiz

12 videos

Welcome to Week 41mBig Data Analytic Databases (Data Warehouses)2mNoSQL: Operational, Unstructured and Semi-structured4mNon-transactional, Structured Systems2mBig Data ACID-Compliant RDBMSs1mSearch Engines4mChallenges4mWhat We Keep3mWhat We Give Up5mWhat We Add8mWhere to Store Big Data7mCoupling of Data and Metadata7m

1 reading

Open Source and Apache15m

1 practice exercise

SQL Tools for Big Data Analysis30m

Reviews

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TOP REVIEWS FROM FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL

by AMDec 25, 2020

Precise and engaging content!

Takes a definitive and well-explained approach towards teaching Big Data to you :)

Satisfied with the what the content had to offer.

by RLJul 24, 2020

Great course series. Lessons are clear and well made. I learned a great deal about SQL and Database Management and Structure. Highly recommended.

by MBMay 10, 2020

I have taken numerous online courses, but I have to say that this instructor and this course truly raise the bar for all. I learned a lot and looked forward to each class.

by JJAug 8, 2020

It's quiet easy to study... Presentation is awesome... I got understand many things that I need to know while selecting the course...

Thank you

View all reviews

About the Modern Big Data Analysis with SQL Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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)

More questions? Visit the Learner Help Center.

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Foundations for Big Data Analysis with SQL

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