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

4.7
estrellas
277 calificaciones

95 %

Ian Cook +1 instructores más

10.978 ya inscrito

Ofrecido Por

Programa especializado: Modern Big Data Analysis with SQLCloudera

Acerca de este Curso

10.143 vistas recientes

In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.
By the end of the course, you will be able to
• use different tools to browse existing databases and tables in big data systems;
• use different tools to explore files in distributed big data filesystems and cloud storage;
• create and manage big data databases and tables using Apache Hive and Apache Impala; and
• describe and choose among different data types and file formats for big data systems.

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

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Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

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Curso 3 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 21 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Qué aprenderás

Use different tools to browse existing databases and tables in big data systems
Use different tools to explore files in distributed big data filesystems and cloud storage
Create and manage big data databases and tables using Apache Hive and Apache Impala
Describe and choose among different data types and file formats for big data systems

Habilidades que obtendrás

Data Management
Distributed File Systems
Cloud Storage
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 3 de 3 en

Programa especializado: Modern Big Data Analysis with SQL

Nivel principiante

Aprox. 21 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructores

Calificación del instructor

4,85/5 (56 calificaciones)

Ian Cook

Staff Curriculum Developer

Cloudera

26.653 alumnos

2 cursos

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.

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Programa - Qué aprenderás en este curso

Calificación del contenido95%(1,124 calificaciones)

Semana

Semana 1

3 horas para completar

Orientation to Data in Clusters and Cloud Storage

3 horas para completar

7 videos (Total 56 minutos), 3 lecturas, 1 cuestionario

7 videos

Welcome to the Course4m

Browsing Tables with Hue7m

Browsing Tables with SQL Utility Statements6m

Browsing HDFS with the Hue File Browser13m

Browsing HDFS from the Command Line9m

Understanding S3 and Other Cloud Storage Platforms6m

Browsing S3 Buckets from the Command Line8m

3 lecturas

Review and Preparation30m

Instructions for Downloading and Installing the Exercise Environment30m

Troubleshooting the VM5m

1 ejercicio de práctica

Week 1 Graded Quiz30m

Semana

Semana 2

5 horas para completar

Defining Databases, Tables, and Columns

5 horas para completar

7 videos (Total 33 minutos), 12 lecturas, 2 cuestionarios

7 videos

Week 2 Introduction3m

Introduction to the CREATE TABLE Statement5m

Using Different Schemas on the Same Data12m

Specifying TBLPROPERTIES2m

Examining, Modifying, and Removing Tables1m

Hive and Impala Interoperability2m

Impala Metadata Refresh3m

12 lecturas

Creating Databases and Tables with Hue30m

Creating Databases and Tables with SQL15m

Permissions to Create Databases and Tables5m

The ROW FORMAT Clause25m

The STORED AS Clause15m

The LOCATION Clause20m

CREATE TABLE Shortcuts10m

Using Hive SerDes15m

Working with Unstructured and Semi-Structured Data15m

Examining Table Structure10m

Dropping Databases and Tables5m

Modifying Existing Tables35m

2 ejercicios de práctica

Week 2 Practice Quiz30m

Week 2 Graded Quiz30m

Semana

Semana 3

3 horas para completar

Data Types and File Types

3 horas para completar

5 videos (Total 14 minutos), 12 lecturas, 2 cuestionarios

5 videos

Week 3 Introduction1m

Overview of Data Types1m

Choosing the Right Data Types4m

Overview of File Types3m

Choosing the Right File Types3m

12 lecturas

Integer Data Types5m

Decimal Data Types10m

Character String Data Types10m

Other Data Types5m

Examining Data Types10m

Out-of-Range Values5m

Text Files5m

Avro Files5m

Parquet Files5m

ORC Files5m

Other File Types5m

Creating Tables with Avro and Parquet Files20m

2 ejercicios de práctica

Week 3 Practice Quiz20m

Week 3 Graded Quiz30m

Semana

Semana 4

5 horas para completar

Managing Datasets in Clusters and Cloud Storage

5 horas para completar

8 videos (Total 48 minutos), 13 lecturas, 3 cuestionarios

8 videos

Week 4 Introduction3m

Refresh Impala's Metadata Cache after Loading Data2m

Loading Files into HDFS with Hue's Table Browser10m

Loading Files into HDFS with Hue's File Browser6m

Loading Files into HDFS from the Command Line8m

Loading Files into S3 from the Command Line10m

Using Hive and Impala to Load Data into Tables3m

Conclusion2m

13 lecturas

More about HDFS Shell Commands10m

Chaining and Scripting with HDFS Commands5m

HDFS Permissions5m

Other Ways to Load Files into S35m

S3 Permissions10m

Missing Values15m

Character Sets5m

Using Sqoop to Import Data15m

More Sqoop Import Options5m

Using Sqoop to Export Data5m

SQL LOAD DATA Statements10m

SQL INSERT Statements10m

SQL INSERT ... SELECT and CTAS Statements15m

2 ejercicios de práctica

Week 4 Practice Quiz30m

Week 4 Graded Quiz30m

Reseñas

4.7

64 reseña

5 stars
79,06 %
4 stars
15,88 %
3 stars
3,61 %
2 stars
1,08 %
1 star
0,36 %

Principales reseñas sobre MANAGING BIG DATA IN CLUSTERS AND CLOUD STORAGE

por GK9 de feb. de 2020

Very good material and the labs using the VM are wonderful hands-on experience.

por RA27 de may. de 2020

The course spanned across multiple areas. It was great learning.

por TM4 de mar. de 2020

Great practical applications learned in this course-this course is demanding but I loved it!

por MN7 de ago. de 2020

Absolutely amazing! Have learnt a lot from this course!

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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Managing Big Data in Clusters and Cloud Storage

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás