HCIA-Big Data V3.0 Course

سرفصل های دوره

1.Big Data Development Trend and Kunpeng Big Data Solution

1.1.1 Big Data Era Overview 1.1 Challenges and Opportunities

1.1.2 Big Data Application Fields and Big Data Computing Tas

1.1.3 Challenges and Opportunities for Enterprises 1.1 Chall

1.2.1 Huawei Kunpeng Big Data Solution 1.2 Huawei Kunpeng Bi

01.Introduction of HCIA-Big Data V3.0 Course Introduction of HC

1_Big_Data_Development_Trend_and_Kunpeng_Big_Data_Solution.pdf

2.HDFS and ZooKeeper

2.1.1 HDFS Overview and Application Scenarios 2.1 HDFS Overv

2.2.1 HDFS-related Concepts 2.2 HDFS-related Concepts EBG202

2.3.1 HDFS Architecture 2.3 HDFS Architecture EBG2020CCHW110

2.4.1 Key Features 2.4 Key Features EBG2020CCHW1100114 Cours

2.5.1 HDFS Data Read Write Process 2.5 HDFS Data Read Write

2.6.1 ZooKeeper Overview and Architecture 2.6 ZooKeeper Over

2_HDFS_and_ZooKeeper.pdf

3.Hive-Distributed Data Warehouse

3.1.1 Hive Overview 3.1 Hive Overview EBG2020CCHW1100114 Cou

3.2.1 Hive Functions and Architecture 3.2 Hive Functions and

3.3.1 Basic Hive Operations 3.3 Basic Hive Operations EBG202

3_Hive_-_Distributed_Data_Warehouse.pdf

4. HBase Technical Principles

4.1.1 Introduction to HBase 4.1 Introduction to HBase EBG202

4.2.1 HBase Data Model 4.2 HBase Data Model EBG2020CCHW11001

4.3.1 HBase Architecture 4.3 HBase Architecture EBG2020CCHW1

4.4.1 HBase Key Processes 4.4 HBase Key Processes EBG2020CCH

4.5.1 HBase Highlights 4.5 HBase Highlights EBG2020CCHW11001

4.6.1 HBase Performance Tuning 4.6 HBase Performance Tuning

4.7.1 Common Hbase Shell Commands 4.7 Common Hbase Shell Com

4_HBase_Technical_Principles.pdf

5.MapReduce and YARN Technical Principles

5.1.1 Introduction to MapReduce and YARN 5.1 Introduction to

5.2.1 Functions and Architectures of MapReduce and YARN 5.2

5.2.1 Functions and Architectures of MapReduce and YARN 5.2 -1

5.3.1 Resource Management and Task Scheduling of YARN 5.3 Re

5.4.1 Enhanced Features 5.4 Enhanced Features EBG2020CCHW110

5_MapReduce_and_YARN_Technical_Principles.pdf

6. Spark - An In-Memory Distributed Computing Engine

6.1.1 Spark Overview 6.1 Spark Overview EBG2020CCHW1100114 C

6.2.1 Spark Data Structure 6.2 Spark Data Structure EBG2020C

6.2.1 Spark Data Structure 6.2 Spark Data Structure EBG2020C-1

6.3.1 Spark Principles and Architecture 6.3 Spark Principles

6.3.1 Spark Principles and Architecture 6.3 Spark Principles-1

6_Spark_-_An_In-Memory_Distributed_Computing_Engine.pdf

7.Flink, Stream and Batch Processing in a Single Engine

7.1.1 Principles and Architecture of Flink 7.1 Principles an

7.2.1 Flink Time & Window 7.2 Flink Time & Window EBG2020CCH

7.3.1 Flink Watermark 7.3 Flink Watermark EBG2020CCHW1100114

7.4 Fault Tolerance of Flink 7.4 Fault Tolerance of Flink EB

7_Flink__Stream_and_Batch_Processing_in_a_Single_Engine.pdf

8.Flume-Massive Log Aggregation

8.1.1 Flume Overview and Architecture 8.1 Flume Overview and

8.2.1 The Key Features of Flume 8.2 The Key Features of Flum

8.3.1 Application senarios of Flume 8.3 Application senarios

8_Flume_-_Massive_Log_Aggregation.pdf

9.Loader Data Conversion

9.1.1 Introduction to Loader 9.1 Introduction to Loader EBG2

9.2.1 Loader Job Management 9.2 Loader Job Management EBG202

9_Loader_Data_Conversion.pdf

10.Kafka Distributed Publish-Subscribe Messaging System

10.1.1 Introduction to Kafka 10.1 Introduction to Kafka EBG2

10.2.1 The Architecture and Functions of Kafka 10.2 The Arch

10.3.1 Data Storage Reliability 10.3 Data Management in Kafk

10_Kafka_Distributed_Publish-Subscribe_Messaging_System.pdf

11.LDAP and Kerberos

11.1.1 IAM (Identity and Access Management) 11.1 IAM (Identi

11.2.1 Directory Services and Basic Principles of LDAP 11.2

11.3.1 SSO and Basic Principles of Kerberos 11.3 SSO and Bas

11.4.1 Scenario Architecture of Huawei Big Data Security Aut

11_LDAP_and_Kerberos.pdf

12.Elasticsearch - Distributed Search Engine

12.1.1 Elasticsearch Overview 12.1 Elasticsearch Overview EB

12.2.1 Elasticsearch System Architecture 12.2 Elasticsearch

12.3.1 Elasticsearch Key Features 12.3 Elasticsearch Key Fea

12_Elasticsearch_-_Distributed_Search_Engine.pdf

13.Redis In-Memory Database

13.1.1 Redis Application Scenarios 13.1 Redis Application Sc

13.2.1 Redis Service Process 13.2 Redis Service Process EBG2

13.3.1 Redis Features and Data Types 13.3 Redis Features and

13.3.1 Redis Features and Data Types 13.3 Redis Features and-1

13.4.1 Redis Optimization 13.4 Redis Optimization EBG2020CCH

13.5.1 Redis Application Cases 13.5 Redis Application Cases

13_Redis_In-Memory_Database.pdf

14.Huawei Big Data Solution

14.1.1 Development Trend of the ICT Industry 14.1 Developmen

14.2.1 HUAWEI CLOUD Big Data Services 14.2 HUAWEI CLOUD Big

14.3.1 HUAWEI CLOUD Intelligent Data Lake Operation Platform

14_Huawei_Big_Data_Solution.pdf

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تولید کننده: Huawei