Lecturer: Wu Chao

OneClass hourHas been updated to 1)Tenbranch

Rate of praise100%Free of charge

Course introduction: local Spark model to explain

Lecturer: Wu Chao

SixteenClass hourHas been updated to 16)03hour04branch

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Introduction to the course: to acquire the HBase architecture through the study of HBase, cluster installation, access data in HBase HBase shell, use Java HBase HBase access, use MapReduce data from HDFS to import HBase master filter tools.

Lecturer: Wu Chao

TenClass hourHas been updated to 10)02hourSeventeenbranch

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Course introduction: Master MapReduce entry, data serialization, counter and other methods of operation

Lecturer: Wu Chao

FourClass hourHas been updated to 4)Fifty-fivebranch

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Course introduction: to build a yarn cluster, configuration historyserver, analysis yarn platform structure, learning buffer protocol.

Lecturer: Wu Chao

SixteenClass hourHas been updated to 16)03hourFifty-onebranch

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Course introduction: to explain the Java shell, HDFS operation, HDFS cluster structures

Lecturer: Wu Chao

SixClass hourHas been updated to 6)01hourNineteenbranch

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Course introduction: Hadoop2 entry learning to explain the HDFS, Hadoop2 pseudo Distributed installation and other content

Lecturer: CSDN open class

OneClass hourHas been updated to 1)01hour04branch

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Course introduction: introduce the guests: Zhou Zhai, worked in Baidu, senior experts in the technology of Hadoop and attention in Hadoop& big data, data mining, natural language processing and other fields. 2009 began to build a business class big data system using Hadoop, is one of the earliest people in the field of the field, responsible for the design of a number of large data platform and analysis system based on Hadoop. 2011 co authored published "Hadoop open source cloud computing platform". In the field of natural language processing to apply for a patent for invention. The latest book "Hadoop core technology".

Lecturer: Hou Yongjiao

NineteenClass hourHas been updated to 19)03hourThirty-threebranch

Rate of praise100%$69

Course introduction: This article is the about cloud from the zero based on the introduction of big data, added knowledge, including: Java, Linux, virtual machines and other knowledge, and then Hadoop ecosystem from cluster deployment to the development of knowledge and other knowledge

Lecturer: Li Feng

TenClass hourHas been updated to 2)Elevenbranch

Rate of praise100%$99

Introduction to the course: making students by learning Hadoop2.X tutorial to master hadoop2 application principle, the system structure of hadoop2 have clear understanding of, and be able to skillfully deployed Hadoop2 high availability of the environment of distributed computing.

Lecturer: Zhang Yong

TenClass hourHas been updated to 10)08hourFifty-ninebranch

Rate of praise100%$50

Hadoop is a software framework for distributed processing of large amounts of data. But Hadoop is processed in a reliable, efficient and scalable manner. Hadoop is reliable because it assumes that computing elements and storage will fail, so it maintains multiple copies of the working data and ensures that the nodes can be re distributed processing for failure. Hadoop is efficient, because it works in a parallel manner and speeds up processing through parallel processing.

Lecturer: Zhang Yong

FiveClass hourHas been updated to 5)04hourTwenty-threebranch

Rate of praise100%$30

Course introduction: This course is mainly to explain the application of Storm, with the project voice billing (1) system development allows students to learn Storm development and application in the shortest time

Lecturer: Dong Xicheng

FourteenClass hourHas been updated to 14)07hourFifty-sixbranch

Rate of praise100%$499

Course Description: This course will help you to comprehensive understanding Hadoop as the core framework of big data platform technology and ecological system, focusing on the study of the 2.0 version of Hadoop MapReduce, yarn, and using method of the principle of the three modules of HDFS architecture, through the course can also be a preliminary understanding of HBase, Hive/Pig, Flume/Sqoop and mahout, zookeeper, Oozie/Azkaban modules such as basic principle and application scenarios.

Lecturer: Zhang Yong

EightClass hourHas been updated to 5)03hourForty-fivebranch

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Course Description: This course in the premise of both Hadoop curriculum knowledge system and improve the to the actual development of the application is the most, the deepest, most practical extraction technology, through this course, you will reach the high point, entry into the cloud computing better world.

Lecturer: Yang Fei

ThreeClass hourHas been updated to 3)Fifty-eightbranch

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Course Description: Jose is a complete Hadoop operating platform, from the Hadoop task to the production cycle of the task scheduling Jose to support the task of the entire life cycle, from the functional, support: Debugging and running of MapReduce Hadoop task Debugging and running of Hive task Operation of Shell task Visualization query and data preview of Hive metadata Automatic scheduling of Hadoop tasks Complete document management This course will explain the detailed Hadoop platform Zeus Zeus

Lecturer: Dong Xicheng

FourClass hourHas been updated to 4)Fifty-eightbranch

Rate of praise100%Free of charge

Introduction to the course: the current rapid development of Hadoop, especially Hadoop 2.0, HDFS and yarn two systems have multiple major characteristics are realized, so as to promote the development of upper computer system, including tez the hive and pig have greater improvement in performance, various yarn model framework based on.

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