Este curso forma parte de Programa especializado: Modern Big Data Analysis with SQL

4.8
estrellas
984 calificaciones

96 %

Glynn Durham

42.987 ya inscrito

ofrecido por

Programa especializado: Modern Big Data Analysis with SQLCloudera

Acerca de este Curso

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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.
By the end of the course, you will be able to
• 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; and 
• explore databases and tables in a big data platform.

To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:
• 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)

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

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Curso 1 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 12 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)

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 Warehousing
Data Analysis
Big Data
SQL

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

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

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 12 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)

Instructor

Calificación del instructor

4,76/5 (287 calificaciones)

Glynn Durham

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

Calificación del contenido96%(4,480 calificaciones)

Semana

Semana 1

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 Specialization6m

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

Semana

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

Welcome to Week 21m

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

Semana

Semana 3

2 horas para completar

Big Data

2 horas para completar

12 videos (Total 63 minutos), 1 lectura, 1 cuestionario

Semana

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

Welcome to Week 41m

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

Reseñas

4.8

243 reseña

5 stars
80,73 %
4 stars
16,38 %
3 stars
1,48 %
2 stars
0,49 %
1 star
0,89 %

Principales reseñas sobre FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL

por RP2 de dic. de 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 MO25 de feb. de 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 AA14 de ago. de 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 JJ8 de ago. de 2020

It's quiet easy to study... Presentation is awesome... I got understand many things that I need to know while selecting the course... Thank you

Ver todas las reseñas

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?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿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.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
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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Foundations for Big Data Analysis with SQL