About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 19 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

What you will learn

  • Check

    Distinguish operational from analytic databases, and understand how these are applied in big data

  • Check

    Understand how database and table design provides structures for working with data

  • Check

    Appreciate how differences in volume and variety of data affects your choice of an appropriate database system

  • Check

    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 WarehousingData AnalysisBig DataSQL

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 19 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Data and Databases

11 videos (Total 50 min), 4 readings, 1 quiz
11 videos
Welcome to the Course and Week 13m
What Is Data?3m
Why Organize Data?5m
What Does a DBMS Do?5m
Relational Databases and SQL6m
The Success of RDBMSs and SQL4m
Operational and Analytic Databases5m
Comparing Operational and Analytic DBs: SELECT Statements2m
Comparing Operational and Analytic DBs: DML Activity4m
Operational and Analytic Databases: Further Comparisons1m
4 readings
Hardware Requirements for the Exercise Environment10m
Data Extraction from Digital Images10m
Three Notes about SQL10m
References10m
1 practice exercise
Data and Databases30m
Week
2
3 hours to complete

Relational Databases and SQL

15 videos (Total 80 min), 3 readings, 1 quiz
15 videos
Introducing Table Schemas3m
NULL Values3m
Data Types3m
Primary Keys5m
Foreign Keys6m
Two Strategies for Database Design3m
Database Normalization8m
Denormalization5m
Differences6m
Trade-offs4m
Database Transactions6m
ACID6m
Enforcing Business Rules: Constraints and Triggers7m
Business Rules and ACID for Analytics?6m
3 readings
Let There Be Third Normal Form5m
SELECT Statements in Transactions5m
Database Indexes30m
1 practice exercise
Relational Databases30m
Week
3
2 hours to complete

Big Data

12 videos (Total 63 min), 1 reading, 1 quiz
12 videos
How Big Is Big Data?3m
Distributed Storage6m
Distributed Processing9m
Structured Data4m
Unstructured Data4m
Semi-Structured Data3m
Strengths of Traditional RDBMSs4m
Limitations of Traditional RDBMSs7m
SQL and Structured Data5m
SQL and Semi-structured Data4m
SQL and Unstructured Data7m
1 reading
What about Velocity?15m
1 practice exercise
Big Data30m
Week
4
2 hours to complete

SQL Tools for Big Data Analysis

12 videos (Total 53 min), 1 reading, 1 quiz
12 videos
Big Data Analytic Databases (Data Warehouses)2m
NoSQL: Operational, Unstructured and Semi-structured4m
Non-transactional, Structured Systems2m
Big Data ACID-Compliant RDBMSs1m
Search Engines4m
Challenges4m
What We Keep3m
What We Give Up5m
What We Add8m
Where to Store Big Data7m
Coupling of Data and Metadata7m
1 reading
Open Source and Apache15m
1 practice exercise
SQL Tools for Big Data Analysis30m
4.8
23 ReviewsChevron Right

Top reviews from Foundations for Big Data Analysis with SQL

By AESep 10th 2019

Awesome foundation to build on skills of query and analysis of big data and to use big data technologies like Hive and Impala\n\nI Really enjoyed the course and the instructor is perfect

By AAAug 15th 2019

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.

Instructor

Avatar

Glynn Durham

Senior Instructor
Cloudera

About 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. ...

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....
Modern Big Data Analysis with SQL

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

  • • 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.