Acerca de este Curso
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Nivel intermedio

Aprox. 44 horas para completar

Sugerido: 6 weeks of study, 6-8 hours/week...

Inglés (English)

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Habilidades que obtendrás

Python ProgrammingApache HadoopMapreduceApache Spark

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 intermedio

Aprox. 44 horas para completar

Sugerido: 6 weeks of study, 6-8 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

24 minutos para completar


8 videos (Total 14 minutos), 1 reading
8 videos
Issues BigData can solve1m
BigData Applications1m
What is BigData Essentials?2m
Course Structure2m
Meet Emeli1m
Meet Alexey2m
Meet Ivan1m
1 lectura
Slack Channel is the quickest way to get answers to your questions10m
8 horas para completar

What are BigData and distributed file systems (e.g. HDFS)?

18 videos (Total 136 minutos), 9 readings, 5 quizzes
18 videos
File system managing6m
File content exploration 15m
File content exploration 213m
Scaling Distributed File System9m
Block and Replica States, Recovery Process 16m
Block and Replica States, Recovery Process 27m
HDFS Client9m
Namenode Architecture8m
Text formats9m
Binary formats 18m
Binary formats 28m
How to submit your first assignment3m
How to Install Docker on Windows 7, 8, 104m
9 lecturas
Basic Bash Commands10m
HDFS Lesson Introduction10m
Gentle Introduction into "curl"10m
File formats extra (optional)10m
Grading System: Instructions and Common Problems10m
Docker Installation Guide10m
Programming Assignment: Instructions and Common Problems10m
FAQ How to show your code to teaching staff10m
Slack channel "Bigdata-coursera" - the quickest to solve technical problems.10m
2 ejercicios de práctica
Distributed File Systems16m
Big Data and Distributed File Systems25m
3 horas para completar

Solving Problems with MapReduce

17 videos (Total 94 minutos), 1 reading, 3 quizzes
17 videos
Unreliable Components 28m
Distributed Shell8m
Fault Tolerance7m
Fault Tolerance. Live Demo3m
Streaming in Python3m
WordCount in Python5m
Distributed Cache4m
Environment, Counters4m
Speculative Execution / Backup Tasks3m
1 lectura
Hadoop Streaming Assignments: Intro and Code Samples10m
3 ejercicios de práctica
Hadoop MapReduce Intro26m
MapReduce Streaming26m
Hadoop Streaming Final30m
4 horas para completar

Solving Problems with MapReduce (practice week)

1 video (Total 3 minutos), 5 readings, 5 quizzes
5 lecturas
Hadoop Streaming Assignments: Intro and Code Samples10m
Hints to Debug Hadoop Streaming Applications10m
Grading System and Grading System Sandbox User Guide10m
Hadoop Streaming Assignments: Instructions10m
Hint to the "Stop words" programming assignment10m
3 horas para completar

Introduction to Apache Spark

16 videos (Total 95 minutos), 2 readings, 2 quizzes
16 videos
Transformations 16m
Transformations 27m
Execution & Scheduling6m
Caching & Persistence5m
Broadcast variables5m
Accumulator variables5m
Getting started with Spark & Python6m
Working with text files6m
Broadcast & Accumulator variables5m
Spark UI4m
Cluster mode3m
2 lecturas
Spark Assignments Intro10m
Instructions for Spark programming assignment10m
2 ejercicios de práctica
Lesson 1 Quiz20m
Lesson 2 Quiz24m
7 horas para completar

Introduction to Apache Spark (practice week)

2 readings, 2 quizzes
2 lecturas
Spark assignments Intro10m
Building an intuition behind the PMI definition10m
11 horas para completar

Real-World Applications

9 videos (Total 59 minutos), 2 readings, 5 quizzes
9 videos
Estimating proportions7m
Map and Reduce Side Joins9m
Tabular Data, KeyFieldSelection8m
Data Skew, Salting4m
Twitter graph case study6m
Shortest path7m
2 lecturas
Data and code10m
Starter for "Reconstructing the path" assignment10m
3 ejercicios de práctica
Sample estimates10m
Advanced MapReduce Techniques20m
Real-World Applications10m
86 revisionesChevron Right


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Principales revisiones

por YHNov 22nd 2018

Everything in this course is new to me, but it provides me with many practice so I can gradually get familiar with all these new stuff. I find it a bit challenging, but overall it's quite good.

por SHMay 10th 2019

The course takes you from basic level , step level .But It is quite fast for beginners , you may need pause video in between and try to understand the concept.



Ivan Puzyrevskiy

Technical Team Lead

Alexey A. Dral

Founder and Chief Executive Officer
BigData Team

Acerca de Yandex

Yandex is a technology company that builds intelligent products and services powered by machine learning. Our goal is to help consumers and businesses better navigate the online and offline world....

Acerca del programa especializado Big Data for Data Engineers

This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) — don’t miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale. In four concise courses you will learn the basics of Hadoop, MapReduce, Spark, methods of offline data processing for warehousing, real-time data processing and large-scale machine learning. And Capstone project for you to build and deploy your own Big Data Service (make your portfolio even more competitive). Over the course of the specialization, you will complete progressively harder programming assignments (mostly in Python). Make sure, you have some experience in it. This course will master your skills in designing solutions for common Big Data tasks: - creating batch and real-time data processing pipelines, - doing machine learning at scale, - deploying machine learning models into a production environment — and much more! Join some of best hands-on big data professionals, who know, their job inside-out, to learn the basics, as well as some tricks of the trade, from them. Special thanks to Prof. Mikhail Roytberg (APT dept., MIPT), Oleg Sukhoroslov (PhD, Senior Researcher, IITP RAS), Oleg Ivchenko (APT dept., MIPT), Pavel Akhtyamov (APT dept., MIPT), Vladimir Kuznetsov, Asya Roitberg, Eugene Baulin, Marina Sudarikova....
Big Data for Data Engineers

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 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.

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