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 forma parte de Programa Especializado - Modern Big Data Analysis with SQL
ofrecido por
Acerca de este Curso
147,170 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 3 en
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.
Curso 1 de 3 en
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
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 - Qué aprenderás en este curso
2 horas para completar
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 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
References10m
1 ejercicio de práctica
Data and Databases30m
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
Denormalization5m
Differences6m
Trade-offs4m
Database Transactions6m
ACID6m
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
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
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
Challenges4m
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
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Hay ayuda económica disponible?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
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)
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
