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1. Master the technical principles and architectures of common and important big data components, including HDFS, Hive, HBase, Flume, Spark, Flink, Elasticsearch and Redis, and capable of using Huawei big data platform MRS. 2. Able to operate and develop services based on Huawei MRS. 3. Competent for positions related to big data development engineers.
Technical principles and architecture of common and important big data components. Knowledge and skills required for big data pre-sales, big data project management, and big data development.
After completing this course, you will be able to:
Those who desire to become big data engineers. Those who desire to obtain the HCIA-Big Data certification. Junior big data engineers.
Has basic knowledge of network technology. Be familiar with basic operations on Linux operating systems.
Big Data Development Trend and Kunpeng Big Data Solution
HDFS and ZooKeeper
Hive – Distributed Data Warehouse
HBase Technical Principles
MapReduce and YARN Technical Principles
Spark – An In-Memory Distributed Computing Engine
Flink, Stream and Batch Processing in a Single Engine
Flume – Massive Log Aggregation
Loader Data Conversation
Kafka Distributed Publish-Subscribe Messaging System
LDAP and Kerberos
Elasticsearch – Distributed Search Engine
Redis In-Memory Database
Huawei Big Data Solution
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