Huawei Certifed ICT Professional-Big Data Developer (HCIP-BIG DATA-DEV)

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
    • 1. Real-time stream computing application solution
    • 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
    • 1. Background of Data Warehouse
    • 2. Introduction to DWS
    • 3. Converged data warehouse cases