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.
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.
1.1 Big Data Era Overview1.2 Big Data Application1.3 Challenges and Opportunities for Enterprises
2. HDFS
2.1 HDFS12.2 HDFS22.3 HDFS32.4 HDFS42.5 HDFS52.6 HDFS6
3. Hive
3.1 Hive13.2 Hive23.3 Hive3
4. Hbase
4.1 Hbase14.2 Hbase24.3 Hbase34.4 Hbase44.5 Hbase54.6 Hbase64.7 Hbase7
5. Mapreduce
5.1 Map15.2 Map25.3 Map35.4 Map4
6. Spark
6.1 Spark16.2 Spark26.3 Spark3
7. Flink
7.1 Flink17.2 Flink27.3 Flink37.4 Flink4
8. Flume
8.1 Flume18.2 Flume28.3 Flume3
9. Loader Data Conversion
9.1 Loader-section19.2 Loader-section2
10. Kafka
10.1 Kafka110.2 Kafka210.3 Kafka3
11. LDAP and Kerberos
11.1 LDAP and Kerberos-section111.2 LDAP and Kerberos-section211.3 LDAP and Kerberos-section311.4 LDAP and Kerberos-section4
12. Redis
12.1 Redis112.2 Redis212.3 Redis3
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