Acerca de este Curso

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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Qué aprenderás

  • 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 obtendrás

Database (DBMS)Data WarehousingData AnalysisBig DataSQL
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Inglés (English)


ofrecido por

Logotipo de Cloudera


Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up97%(1,540 calificaciones)Info

Semana 1

2 horas para completar

Data and Databases

2 horas para completar
11 videos (Total 50 minutos), 4 lecturas, 1 cuestionario
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 lecturas
Hardware Requirements for the Exercise Environment10m
Data Extraction from Digital Images10m
Three Notes about SQL10m
1 ejercicio de práctica
Data and Databases30m

Semana 2

3 horas para completar

Relational Databases and SQL

3 horas para completar
15 videos (Total 80 minutos), 3 lecturas, 1 cuestionario
15 videos
Introducing Table Schemas3m
NULL Values3m
Data Types3m
Primary Keys5m
Foreign Keys6m
Two Strategies for Database Design3m
Database Normalization8m
Database Transactions6m
Enforcing Business Rules: Constraints and Triggers7m
Business Rules and ACID for Analytics?6m
3 lecturas
Let There Be Third Normal Form5m
SELECT Statements in Transactions5m
Database Indexes30m
1 ejercicio de práctica
Relational Databases30m

Semana 3

2 horas para completar

Big Data

2 horas para completar
12 videos (Total 63 minutos), 1 lectura, 1 cuestionario
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 lectura
What about Velocity?15m
1 ejercicio de práctica
Big Data30m

Semana 4

2 horas para completar

SQL Tools for Big Data Analysis

2 horas para completar
12 videos (Total 53 minutos), 1 lectura, 1 cuestionario
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
What We Keep3m
What We Give Up5m
What We Add8m
Where to Store Big Data7m
Coupling of Data and Metadata7m
1 lectura
Open Source and Apache15m
1 ejercicio de práctica
SQL Tools for Big Data Analysis30m



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Acerca de Programa especializado: 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

Preguntas Frecuentes

  • 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.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • • 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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