HCIA-Big Data V3.0(French)

Huawei Talent

This course is applicable to HCIA-Big Data V3.0. It covers Big Data Development Trend and Kunpeng Big Data Solution,Technical Principles and architectures of common and important big data components, including HDFS, Hive, HBase, Flume, Spark, Flink, Elasticsearch and Redis,and Huawei Big Data Solution.

HCIA-Big Data V3.0

Target Trainees

Those who desire to become big data engineers

Those who desire to obtain the HCIA-Big Data certification

Junior big data engineers

Course Objectives

After completing this course, you will be able to master the technical principles and architecture of common and important big data components, basic operations of HDFS, HBase client and table operations of the distributed database, common HQL statement query of the Hive, data storage and retrieval of the Elasticsearch, real-time Flink data processing, and comprehensive applications in typical scenarios.

Course Outline

1. Trend

1.1 Big Data Era Overview
1.2 Big Data Application
1.3 Challenges and Opportunities for Enterprises

2. HDFS

2.1 HDFS1
2.2 HDFS2
2.3 HDFS3
2.4 HDFS4
2.5 HDFS5
2.6 HDFS6

3. Hive

3.1 Hive1
3.2 Hive2
3.3 Hive3

4. Hbase

4.1 Hbase1
4.2 Hbase2
4.3 Hbase3
4.4 Hbase4
4.5 Hbase5
4.6 Hbase6
4.7 Hbase7

5. Mapreduce

5.1 Map1
5.2 Map2
5.3 Map3
5.4 Map4

6. Spark

6.1 Spark1
6.2 Spark2
6.3 Spark3

7. Flink

7.1 Flink1
7.2 Flink2
7.3 Flink3
7.4 Flink4

8. Flume

8.1 Flume1
8.2 Flume2
8.3 Flume3

9. Loader Data Conversion

9.1 Loader-section1
9.2 Loader-section2

10. Kafka

10.1 Kafka1
10.2 Kafka2
10.3 Kafka3

11. LDAP and Kerberos

11.1 LDAP and Kerberos-section1
11.2 LDAP and Kerberos-section2
11.3 LDAP and Kerberos-section3
11.4 LDAP and Kerberos-section4

12. Redis

12.1 Redis1
12.2 Redis2
12.3 Redis3



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