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.
Этот курс входит в специализацию ''Специализация Modern Big Data Analysis with SQL'
Foundations for Big Data Analysis with SQL
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Об этом курсе
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Чему вы научитесь
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
Приобретаемые навыки
Database (DBMS)Data WarehousingData AnalysisBig DataSQL
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Курс 1 из 3 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень
Прибл. 19 часа на выполнение
Предполагаемая нагрузка: 10 hours/week
Английский
Субтитры: Английский
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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.
Программа курса: что вы изучите
2 ч. на завершение
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.
2 ч. на завершение
11 видео ((всего 50 мин.)), 4 материалов для самостоятельного изучения, 1 тест
11 видео
Welcome to the Course and Week 13мин
What Is Data?3мин
Why Organize Data?5мин
What Does a DBMS Do?5мин
Relational Databases and SQL6мин
The Success of RDBMSs and SQL4мин
Operational and Analytic Databases5мин
Comparing Operational and Analytic DBs: SELECT Statements2мин
Comparing Operational and Analytic DBs: DML Activity4мин
Operational and Analytic Databases: Further Comparisons1мин
4 материала для самостоятельного изучения
Hardware Requirements for the Exercise Environment10мин
Data Extraction from Digital Images10мин
Three Notes about SQL10мин
References10мин
1 практическое упражнение
Data and Databases30мин
3 ч. на завершение
Relational Databases and SQL
3 ч. на завершение
15 видео ((всего 80 мин.)), 3 материалов для самостоятельного изучения, 1 тест
15 видео
Introducing Table Schemas3мин
NULL Values3мин
Data Types3мин
Primary Keys5мин
Foreign Keys6мин
Two Strategies for Database Design3мин
Database Normalization8мин
Denormalization5мин
Differences6мин
Trade-offs4мин
Database Transactions6мин
ACID6мин
Enforcing Business Rules: Constraints and Triggers7мин
Business Rules and ACID for Analytics?6мин
3 материала для самостоятельного изучения
Let There Be Third Normal Form5мин
SELECT Statements in Transactions5мин
Database Indexes30мин
1 практическое упражнение
Relational Databases30мин
2 ч. на завершение
Big Data
2 ч. на завершение
12 видео ((всего 63 мин.)), 1 материал для самостоятельного изучения, 1 тест
12 видео
How Big Is Big Data?3мин
Distributed Storage6мин
Distributed Processing9мин
Structured Data4мин
Unstructured Data4мин
Semi-Structured Data3мин
Strengths of Traditional RDBMSs4мин
Limitations of Traditional RDBMSs7мин
SQL and Structured Data5мин
SQL and Semi-structured Data4мин
SQL and Unstructured Data7мин
1 материал для самостоятельного изучения
What about Velocity?15мин
1 практическое упражнение
Big Data30мин
2 ч. на завершение
SQL Tools for Big Data Analysis
2 ч. на завершение
12 видео ((всего 53 мин.)), 1 материал для самостоятельного изучения, 1 тест
12 видео
Big Data Analytic Databases (Data Warehouses)2мин
NoSQL: Operational, Unstructured and Semi-structured4мин
Non-transactional, Structured Systems2мин
Big Data ACID-Compliant RDBMSs1мин
Search Engines4мин
Challenges4мин
What We Keep3мин
What We Give Up5мин
What We Add8мин
Where to Store Big Data7мин
Coupling of Data and Metadata7мин
1 материал для самостоятельного изучения
Open Source and Apache15мин
1 практическое упражнение
SQL Tools for Big Data Analysis30мин
Рецензии
4.8
Лучшие отзывы о курсе FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL
от партнера AESep 9, 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
от партнера AAAug 14, 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.
от партнера SYMar 3, 2020
Thank you for bringing such a Awesome and High quality course - Cloudera. Course instructors are just exceptional in presenting the course material in a clear, concise manner!
от партнера AKJul 25, 2019
Amazing course, full of useful information, the quiz are good way to test your knowledge and the instructor is an expert in this field and has very good presentation skills.
от партнера PKJul 26, 2019
Big data is the one of the most emerging technologies in the world and this cloudera course will definitely help us to understand the hive and impala with practical.
от партнера MOFeb 25, 2020
Excellent course for beginners, that want to get started with big data. This course also help me appreciate traditional RDMS systems while clearing confusions.
от партнера RPDec 2, 2019
Useful concepts for starting to understand and learn how world of big data works. Would have enjoyed to be a bit more practical at last assignment.
от партнера JGJan 28, 2020
Great foundational course for somebody who has some experience using SQL but no formal training -- it really fills in the gaps.
от партнера MDDec 8, 2019
Amazing course! :) Very well introduction to Big Data ecosystem and gold-standard information about SQL.
от партнера EROct 19, 2019
informative background info of Big Data that's good to know about. not too simple or too challenging.
от партнера HAOct 19, 2019
Good course to understand the foundations of big data using good examples and real life problems.
от партнера GTNov 4, 2019
I learned so much. I intended to continual review the entire material in this course. Thanks All.
от партнера VDJan 12, 2020
Very well designed course for beginners and also a review for the intermediate and advanced.
от партнера AUAug 9, 2019
Best course for learning the basic concept about big data and SQL.
от партнера TMMar 4, 2020
A great course to build the basis for dealing with Big Data!
от партнера FDNov 3, 2019
Excellent class, earned a lot from the lecturer. Thank you.
от партнера DMNov 22, 2019
Good videos and background info for database uses.
Специализация Modern Big Data Analysis with SQL: общие сведения
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.
Часто задаваемые вопросы
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Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.
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Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
Какие правила возврата средств?
Можно ли получить финансовую помощь?
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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