Huawei Certifed ICT Professional-Big Data Developer (HCIP-BIG DATA-DEV) – Программа курса
Программа курса
Chapter 1 Big Data Application Development Guide
1. Mainstream big data technologies
2. Scenario-based big data solution
3. Big data application development
Chapter 2 Big Data Scenario-based Solution — Offline Processing
1. Offline batch processing solution
2. Introduction, technical principles, parameter attributes, and important configurations of the offline batch processing framework, including data storage (HDFS), data warehouse (Hive), offline analysis tool (SparkSQL), and data collection tools (Loader, Sqoop, and Kettle)
3. Offline batch processing cases
Chapter 3 Big Data Scenario-based Solution — Real-Time Retrieval
1. Real-time retrieval solution
2. Introduction, technical principles, parameter attributes, and important configurations of distributed databases, including HBase, ElasticSearch, and GES
3. Real-time retrieval cases
Chapter 4 Big Data Scenario-based Solution — Real-Time Stream Processing
2. Introduction, technical principles, parameter attributes, and important configurations of the real-time stream computing components, including Flume, Kafka, Flink, SparkStreaming, and Redis
3. Real-time stream processing configuration solution and success cases
Chapter 5 Big Data Scenario-based Solution — Converged Data Warehouse