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 .
Those who desire to become big data engineers. Those who desire to obtain the HCIA-Big Data certification. Junior big data engineers.
HCIA-Big Data V3.0 exam covers:
- 1.Development trend of the big data industry, big data features, and Huawei Kunpeng big data.
- 2.Basic technical principles of common and important big data components (including HDFS, ZooKeeper, Hive, HBase, MapReduce, YARN, Spark, Flink, Flume, Loader, Kafka, LDAP and Kerberos, Elasticsearch and Redis).
- 3.Huawei big data solutions, functions and features, and success stories in the big data industry.
Has basic knowledge of network technology. Be familiar with basic operations on Linux operating systems .