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100% 在線

立即開始,按照自己的計劃學習。

第 1 門課程(共 5 門)

可靈活調整截止日期

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中級

完成時間大約為45 小時

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

英語(English)

字幕:英語(English)

您將獲得的技能

Python ProgrammingApache HadoopMapreduceApache Spark

100% 在線

立即開始,按照自己的計劃學習。

第 1 門課程(共 5 門)

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為45 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 24 分鐘

Welcome

8 個視頻 (總計 14 分鐘), 1 個閱讀材料
8 個視頻
Issues BigData can solve1分鐘
BigData Applications1分鐘
What is BigData Essentials?2分鐘
Course Structure2分鐘
Meet Emeli1分鐘
Meet Alexey2分鐘
Meet Ivan1分鐘
1 個閱讀材料
Slack Channel is the quickest way to get answers to your questions10分鐘
完成時間為 8 小時

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

18 個視頻 (總計 136 分鐘), 10 個閱讀材料, 4 個測驗
18 個視頻
File system managing6分鐘
File content exploration 15分鐘
File content exploration 213分鐘
Processes4分鐘
Scaling Distributed File System9分鐘
Block and Replica States, Recovery Process 16分鐘
Block and Replica States, Recovery Process 27分鐘
HDFS Client9分鐘
Web UI, REST API4分鐘
Namenode Architecture8分鐘
Introduction10分鐘
Text formats9分鐘
Binary formats 18分鐘
Binary formats 28分鐘
Compression7分鐘
How to submit your first assignment3分鐘
How to Install Docker on Windows 7, 8, 104分鐘
10 個閱讀材料
Basic Bash Commands10分鐘
HDFS Lesson Introduction10分鐘
Gentle Introduction into "curl"10分鐘
File formats extra (optional)10分鐘
Grading System: Instructions and Common Problems10分鐘
Docker Installation Guide10分鐘
HDFS CLI Playground30分鐘
Programming Assignment: Instructions and Common Problems10分鐘
FAQ How to show your code to teaching staff10分鐘
Slack channel "Bigdata-coursera" - the quickest to solve technical problems.10分鐘
2 個練習
Distributed File Systems16分鐘
Big Data and Distributed File Systems25分鐘
2
完成時間為 3 小時

Solving Problems with MapReduce

17 個視頻 (總計 94 分鐘), 1 個閱讀材料, 3 個測驗
17 個視頻
Unreliable Components 28分鐘
MapReduce4分鐘
Distributed Shell8分鐘
Fault Tolerance7分鐘
Fault Tolerance. Live Demo3分鐘
Streaming7分鐘
Streaming in Python3分鐘
WordCount in Python5分鐘
Distributed Cache4分鐘
Environment, Counters4分鐘
Testing5分鐘
Combiner5分鐘
Partitioner7分鐘
Comparator1分鐘
Speculative Execution / Backup Tasks3分鐘
Compression4分鐘
1 個閱讀材料
Hadoop Streaming Assignments: Intro and Code Samples10分鐘
3 個練習
Hadoop MapReduce Intro26分鐘
MapReduce Streaming26分鐘
Hadoop Streaming Final30分鐘
3
完成時間為 4 小時

Solving Problems with MapReduce (practice week)

1 個視頻 (總計 3 分鐘), 5 個閱讀材料, 5 個測驗
5 個閱讀材料
Hadoop Streaming Assignments: Intro and Code Samples10分鐘
Hints to Debug Hadoop Streaming Applications10分鐘
Grading System and Grading System Sandbox User Guide10分鐘
Hadoop Streaming Assignments: Instructions10分鐘
Hint to the "Stop words" programming assignment10分鐘
4
完成時間為 3 小時

Introduction to Apache Spark

16 個視頻 (總計 95 分鐘), 2 個閱讀材料, 2 個測驗
16 個視頻
Welcome6分鐘
RDDs8分鐘
Transformations 16分鐘
Transformations 27分鐘
Actions5分鐘
Resiliency6分鐘
Execution & Scheduling6分鐘
Caching & Persistence5分鐘
Broadcast variables5分鐘
Accumulator variables5分鐘
Getting started with Spark & Python6分鐘
Working with text files6分鐘
Joins4分鐘
Broadcast & Accumulator variables5分鐘
Spark UI4分鐘
Cluster mode3分鐘
2 個閱讀材料
Spark Assignments Intro10分鐘
Instructions for Spark programming assignment10分鐘
2 個練習
Lesson 1 Quiz20分鐘
Lesson 2 Quiz24分鐘
4.0
110 條評論Chevron Right

50%

完成這些課程後已開始新的職業生涯

25%

通過此課程獲得實實在在的工作福利

14%

加薪或升職

來自Big Data Essentials: HDFS, MapReduce and Spark RDD的熱門評論

創建者 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.

創建者 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.

講師

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Ivan Puzyrevskiy

Technical Team Lead
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Alexey A. Dral

Founder and Chief Executive Officer
BigData Team
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Pavel Mezentsev

Senior Data Scientist
PulsePoint inc

關於 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....

關於 Big Data for Data Engineers 專項課程

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

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