Informações sobre o curso
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100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 18 horas para completar

Sugerido: 10 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

  • 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

Habilidades que você terá

Database (DBMS)Data WarehousingData AnalysisBig DataSQL

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 18 horas para completar

Sugerido: 10 hours/week...

Inglês

Legendas: Inglês

Os alunos que estão fazendo este Course são

  • Data Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Economists

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Data and Databases

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
Semana
2
3 horas para concluir

Relational Databases and SQL

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
Semana
3
2 horas para concluir

Big Data

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
Semana
4
2 horas para concluir

SQL Tools for Big Data Analysis

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
4.8
18 avaliaçõesChevron Right

Principais avaliações do Foundations for Big Data Analysis with SQL

por 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

por 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.

Instrutores

Avatar

Glynn Durham

Senior Instructor
Cloudera

Sobre 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. ...

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....
Modern Big Data Analysis with SQL

Perguntas Frequentes – FAQ

  • 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.

  • 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.

  • • 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.