About this Course
4.1
223 ratings
65 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 43 hours to complete

Suggested: 6 weeks of study, 6-8 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Python ProgrammingApache HadoopMapreduceApache Spark
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 43 hours to complete

Suggested: 6 weeks of study, 6-8 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
14 minutes to complete

Welcome

...
Reading
8 videos (Total 14 min)
Video8 videos
Issues BigData can solve1m
BigData Applications1m
What is BigData Essentials?2m
Course Structure2m
Meet Emeli1m
Meet Alexey2m
Meet Ivan1m
Hours to complete
8 hours to complete

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

...
Reading
18 videos (Total 136 min), 10 readings, 5 quizzes
Video18 videos
File system managing6m
File content exploration 15m
File content exploration 213m
Processes4m
Scaling Distributed File System9m
Block and Replica States, Recovery Process 16m
Block and Replica States, Recovery Process 27m
HDFS Client9m
Web UI, REST API4m
Namenode Architecture8m
Introduction10m
Text formats9m
Binary formats 18m
Binary formats 28m
Compression7m
How to submit your first assignment3m
How to Install Docker on Windows 7, 8, 104m
Reading10 readings
Basic Bash Commands10m
Slack Channel is the quickest way to get answers to your questions10m
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
Quiz2 practice exercises
Distributed File Systems16m
Big Data and Distributed File Systems25m
Week
2
Hours to complete
3 hours to complete

Solving Problems with MapReduce

...
Reading
17 videos (Total 94 min), 1 reading, 3 quizzes
Video17 videos
Unreliable Components 28m
MapReduce4m
Distributed Shell8m
Fault Tolerance7m
Fault Tolerance. Live Demo3m
Streaming7m
Streaming in Python3m
WordCount in Python5m
Distributed Cache4m
Environment, Counters4m
Testing5m
Combiner5m
Partitioner7m
Comparator1m
Speculative Execution / Backup Tasks3m
Compression4m
Reading1 reading
Hadoop Streaming Assignments: Intro and Code Samples10m
Quiz3 practice exercises
Hadoop MapReduce Intro26m
MapReduce Streaming26m
Hadoop Streaming Final30m
Week
3
Hours to complete
4 hours to complete

Solving Problems with MapReduce (practice week)

...
Reading
1 video (Total 3 min), 5 readings, 5 quizzes
Reading5 readings
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
Week
4
Hours to complete
3 hours to complete

Introduction to Apache Spark

...
Reading
16 videos (Total 95 min), 2 readings, 2 quizzes
Video16 videos
RDDs8m
Transformations 16m
Transformations 27m
Actions5m
Resiliency6m
Execution & Scheduling6m
Caching & Persistence5m
Broadcast variables5m
Accumulator variables5m
Getting started with Spark & Python6m
Working with text files6m
Joins4m
Broadcast & Accumulator variables5m
Spark UI4m
Cluster mode3m
Reading2 readings
Spark Assignments Intro10m
Instructions for Spark programming assignment10m
Quiz2 practice exercises
Lesson 1 Quiz20m
Lesson 2 Quiz24m
4.1
65 ReviewsChevron Right

Top Reviews

By 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.

By SDJun 28th 2018

Absolutely essential for everyone who wants a proper introduction to HDFS, MapReduce and Spark. Brought to you by a great team of geniuses of their time ;)

Instructors

Avatar

Ivan Puzyrevskiy

Technical Team Lead
Avatar

Alexey A. Dral

Founder and Chief Executive Officer
BigData Team

About 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....

About the Big Data for Data Engineers Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.