Acerca de este Curso
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Aprox. 20 horas para completar

Sugerido: 5 weeks of study, 1-2 hours/week...

Inglés (English)

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Habilidades que obtendrás

Python ProgrammingApache HadoopMapreduceApache Spark

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Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 20 horas para completar

Sugerido: 5 weeks of study, 1-2 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

2 horas para completar

Hadoop Basics

Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions. ...
7 videos (Total 53 minutos), 4 readings, 1 quiz
7 videos
The Apache Framework: Basic Modules3m
Hadoop Distributed File System (HDFS)5m
The Hadoop "Zoo"5m
Hadoop Ecosystem Major Components11m
Exploring the Cloudera VM: Hands-On Part 116m
Exploring the Cloudera VM: Hands-On Part 26m
4 lecturas
Apache Hadoop Ecosystem10m
Lesson 1 Slides (PDF)10m
Hardware & Software Requirements10m
Lesson 2 Slides - Cloudera VM Tour10m
1 ejercicio de práctica
Basic Hadoop Stack20m
3 horas para completar

Introduction to the Hadoop Stack

In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services....
10 videos (Total 70 minutos), 6 readings, 3 quizzes
10 videos
The Hadoop Distributed File System (HDFS) and HDFS28m
MapReduce Framework and YARN8m
The Hadoop Execution Environment4m
YARN, Tez, and Spark11m
Hadoop Resource Scheduling6m
Hadoop-Based Applications3m
Introduction to Apache Pig7m
Introduction to Apache HIVE7m
Introduction to Apache HBASE7m
6 lecturas
Hadoop Basics - Lesson 1 Slides10m
Lesson 2: Hadoop Execution Environment - Slides10m
Lesson 3: Hadoop-Based Applications Overview - All Slides10m
Command list for Applications Slides10m
Tips to handle service connection errors10m
References for Applications10m
3 ejercicios de práctica
Overview of Hadoop Stack10m
Hadoop Execution Environment14m
Hadoop Applications12m
2 horas para completar

Introduction to Hadoop Distributed File System (HDFS)

In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS....
9 videos (Total 58 minutos), 5 readings, 3 quizzes
9 videos
The HDFS Performance Envelope5m
Read/Write Processes in HDFS4m
HDFS Tuning Parameters6m
HDFS Performance and Robustness9m
Overview of HDFS Access, APIs, and Applications5m
HDFS Commands8m
Native Java API for HDFS4m
5 lecturas
Lesson 1: Introduction to HDFS - Slides10m
HDFS references10m
Lesson 2: HDFS Performance and Tuning - Slides10m
HDFS Access, APIs10m
Lesson 3: HDFS Access, APIs, Applications - Slides10m
3 ejercicios de práctica
HDFS Architecture12m
HDFS performance,tuning, and robustness10m
Accessing HDFS12m
7 horas para completar

Introduction to Map/Reduce

This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools....
9 videos (Total 27 minutos), 3 readings, 3 quizzes
9 videos
The Map/Reduce Framework2m
A MapReduce Example: Wordcount in detail4m
MapReduce: Intro to Examples and Principles2m
MapReduce Example: Trending Wordcount1m
MapReduce Example: Joining Data4m
MapReduce Example: Vector Multiplication2m
Computational Costs of Vector Multiplication3m
MapReduce Summary2m
3 lecturas
Lesson 1: Introduction to MapReduce - Slides10m
A note on debugging map/reduce programs.10m
Lesson 2: MapReduce Examples and Principles - Slides10m
1 ejercicio de práctica
Lesson 1 Review14m
8 horas para completar


Welcome to module 5, Introduction to Spark, this week we will focus on the Apache Spark cluster computing framework, an important contender of Hadoop MapReduce in the Big Data Arena. Spark provides great performance advantages over Hadoop MapReduce,especially for iterative algorithms, thanks to in-memory caching. Also, gives Data Scientists an easier way to write their analysis pipeline in Python and Scala,even providing interactive shells to play live with data....
10 videos (Total 70 minutos), 4 readings, 5 quizzes
10 videos
Architecture of Spark7m
Resilient Distributed Datasets10m
Spark Transformations10m
Wide Transformations10m
Directed Acyclic Graph (DAG) Scheduler8m
Actions in Spark2m
Memory Caching in Spark5m
Broadcast Variables2m
4 lecturas
Setup PySpark on the Cloudera VM10m
Lesson 1: Intro to Apache Spark - Slides10m
Lesson 2: RDD and Transformations - Slides10m
Lesson 3: Scheduling, Actions, Caching - Slides10m
3 ejercicios de práctica
Spark Lesson 112m
Spark Lesson 210m
Spark Lesson 312m
686 revisionesChevron Right


comenzó una nueva carrera después de completar estos cursos


consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones

por GMFeb 1st 2016

I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.

por GCOct 25th 2015

Super hands on introduction to key Hadoop components, such as Spark, Map Reduce, Hive, Pig, HBase, HDFS, YARN, Squoop and Flume.\n\nI can't wait to the next course on the specialization.



Natasha Balac

Director, Predictive Analytics Center of Excellence (PACE)
San Diego Supercomputer Center

Paul Rodriguez

Research Programmer
San Diego Supercomputer Center (SDSC)

Andrea Zonca

HPC Applications Specialist
San Diego Supercomputer Center (SDSC)

Acerca de Universidad de California en San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Preguntas Frecuentes

  • 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.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, 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 participar del curso como oyente sin costo.

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