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.
Este curso faz parte do Programa de cursos integrados Modern Big Data Analysis with SQL
Foundations for Big Data Analysis with SQL
oferecido por
Informações sobre o curso
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O que você vai aprender
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
Habilidades que você terá
Database (DBMS)Data WarehousingData AnalysisBig DataSQL
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 19 horas para completar
Sugerido: 10 hours/week
Inglês
Legendas: Inglês
oferecido por
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.
Programa - O que você aprenderá com este curso
2 horas para concluir
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 horas para concluir
11 vídeos (Total 50 mín.), 4 leituras, 1 teste
11 videos
Welcome to the Course and Week 13min
What Is Data?3min
Why Organize Data?5min
What Does a DBMS Do?5min
Relational Databases and SQL6min
The Success of RDBMSs and SQL4min
Operational and Analytic Databases5min
Comparing Operational and Analytic DBs: SELECT Statements2min
Comparing Operational and Analytic DBs: DML Activity4min
Operational and Analytic Databases: Further Comparisons1min
4 leituras
Hardware Requirements for the Exercise Environment10min
Data Extraction from Digital Images10min
Three Notes about SQL10min
References10min
1 exercício prático
Data and Databases30min
3 horas para concluir
Relational Databases and SQL
3 horas para concluir
15 vídeos (Total 80 mín.), 3 leituras, 1 teste
15 videos
Introducing Table Schemas3min
NULL Values3min
Data Types3min
Primary Keys5min
Foreign Keys6min
Two Strategies for Database Design3min
Database Normalization8min
Denormalization5min
Differences6min
Trade-offs4min
Database Transactions6min
ACID6min
Enforcing Business Rules: Constraints and Triggers7min
Business Rules and ACID for Analytics?6min
3 leituras
Let There Be Third Normal Form5min
SELECT Statements in Transactions5min
Database Indexes30min
1 exercício prático
Relational Databases30min
2 horas para concluir
Big Data
2 horas para concluir
12 vídeos (Total 63 mín.), 1 leitura, 1 teste
12 videos
How Big Is Big Data?3min
Distributed Storage6min
Distributed Processing9min
Structured Data4min
Unstructured Data4min
Semi-Structured Data3min
Strengths of Traditional RDBMSs4min
Limitations of Traditional RDBMSs7min
SQL and Structured Data5min
SQL and Semi-structured Data4min
SQL and Unstructured Data7min
1 leituras
What about Velocity?15min
1 exercício prático
Big Data30min
2 horas para concluir
SQL Tools for Big Data Analysis
2 horas para concluir
12 vídeos (Total 53 mín.), 1 leitura, 1 teste
12 videos
Big Data Analytic Databases (Data Warehouses)2min
NoSQL: Operational, Unstructured and Semi-structured4min
Non-transactional, Structured Systems2min
Big Data ACID-Compliant RDBMSs1min
Search Engines4min
Challenges4min
What We Keep3min
What We Give Up5min
What We Add8min
Where to Store Big Data7min
Coupling of Data and Metadata7min
1 leituras
Open Source and Apache15min
1 exercício prático
SQL Tools for Big Data Analysis30min
Avaliações
Principais avaliações do FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL
por AGSep 27, 2019
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! :)
por 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
por 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.
por 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!
por 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.
por 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.
por 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.
por 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.
por JGJan 28, 2020
Great foundational course for somebody who has some experience using SQL but no formal training -- it really fills in the gaps.
por NHApr 1, 2020
Good start of specialization. Great instructor and nicely elaborated difference between RDBMS and Big Data Analytics.
por MDDec 8, 2019
Amazing course! :) Very well introduction to Big Data ecosystem and gold-standard information about SQL.
por EROct 19, 2019
informative background info of Big Data that's good to know about. not too simple or too challenging.
por GTNov 4, 2019
I learned so much. I intended to continual review the entire material in this course. Thanks All.
por HAOct 19, 2019
Good course to understand the foundations of big data using good examples and real life problems.
por VDJan 12, 2020
Very well designed course for beginners and also a review for the intermediate and advanced.
por LRMar 28, 2020
Excellent course for big data analysis and concepts. I highly recommend this course.
por AUAug 9, 2019
Best course for learning the basic concept about big data and SQL.
por TMMar 4, 2020
A great course to build the basis for dealing with Big Data!
por FDNov 3, 2019
Excellent class, earned a lot from the lecturer. Thank you.
por DMNov 22, 2019
Good videos and background info for database uses.
Sobre Programa de cursos integrados Modern Big Data Analysis with SQL
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
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)
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.