Big Data Track

Big Data Track

Huawei Big Data Certification Training

HCIA-Big Data Training

Training Path             

1

HCIA-Big Data Training

Lecture,Practice

5.0 days

Target Audience

  • Big data practitioners
  • Big data related industry practitioners

Prerequisites

  • Have basic knowledge of Linux
  • With IT project experience
  • Have Hadoop basics

Objectives

On completion of this program, the participants will be able to:

  • Master the principles of big data components
  • Master the usage of big data components

Training Contents

HCIA-Big Data Training

MapReduce - Distributed Off-line Batch Processing and Yarn - Resource Negotiator

  • Introduction to MapReduce and YARN
  • Functions and Architectures of MapReduce and YARN
  • Resource Management and Task Scheduling of YARN
  • Enhanced Features

HBase - Distributed NoSQL Database

  • Introduction to HBase
  • Functions and Architecture of HBase
  • Key Processes of HBase
  • Huawei Enhanced Features of HBase

HDFS - Hadoop Distributed File System

  • HDFS Overview and Application Scenarios
  • Position of HDFS in FusionInsight HD
  • HDFS System Architecture
  • Key Features

Streaming - Distributed Stream Computing Engine

  • Introduction to Streaming
  • System Architecture
  • Key Features
  • Introduction to StreamCQL

Kafka - Distributed Message Subscription System

  • Introduction to Kafka
  • Architecture and Functions of Kafka
  • Key Processes of Kafka

Zookeeper - Cluster Distributed Coordination Service

  • Introduction to ZooKeeper
  • Position of ZooKeeper in FusionInsight
  • System Architecture
  • Key Features
  • Relationship with Other Components

Big Data Industry and Technological Trends

  • Big Data Era
  • Big Data Application Scope
  • Opportunities and Challenges in the Big Data Era
  • Huawei Big Data Solution

FusionInsight HD Solution Overview

  • FusionInsight Overview
  • FusionInsight Features
  • Success Cases of FusionInsight

Flume - Massive Logs Aggregation

  • Flume Overview and Architecture
  • Key Characteristics of Flume
  • Flume Applications

Hive - Distributed Data Warehouse

  • Introduction to Hive
  • Hive Functions and Architecture
  • Basic Hive Operations

Spark2x - In-memory Distributed Computing Engine

  • Spark Overview
  • Spark Principles and Architecture
  • Spark Integration in FusionInsight HD

Loader - Data Transformation

  • Introduction to Loader
  • Loader Job Management

Flink – Stream Processing and Batch Processing Platform

  • Flink Overview
  • Technical Principles and Architecture of Flink
  • Flink Integration in FusionInsight HD

Duration

5 working days

logo

MoHESR AWS Academic Hub is all about supporting universities, academic staff and MOHESR in its mission to establish an undergraduate Cloud and Emerging Technologies Associate Degree that will be offered across Eligible
Higher Education Institutes.