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HCIA-Big Data Training

Course overview and objectives

5 days
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Duration

5 days

Target Audience

  • Those who desire to become big data engineers
  • Those who desire to obtain the HCIA-Big Data certification
  • Junior big data engineers

Prerequisites

  • Has basic knowledge of network technology
  • Be familiar with big data basics，be familiar with basic operations on Linux operating systems.

Objectives

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

  • Master the technical principles and architectures of common and important big data components, including HDFS, HBase, Hive, ClickHouse, MapReduce, YARN, Spark,Flink, Flume, Kafka, ElasticSearch and ZooKeeper, and capable of using Huawei big data platform MRS;
  • Operate and develop services based on Huawei MRS;
  • Competent for positions related to big data development engineers;
  • Have the knowledge and skills required for big data pre-sales, big data project management, and big data development.

Centralized Training Content

HCIA-Big Data Training V3.5

Big DataDevelopment Trends and the Kunpeng Big Data Solution

■ Big Data Era

■ Big DataApplication Fields

■ Challenges andOpportunities Faced by Enterprises

■ Huawei KunpengSolution

HDFS — HadoopDistributed File System & ZooKeeper

■ HDFS

■ HDFS Overview

■ HDFS-relatedConcepts

■ HDFSArchitecture

■ HDFS KeyFeatures

■ HDFS DataRead/Write Process

■ ZooKeeperDistributed Coordination Service

■ ZooKeeperOverview

■ ZooKeeperArchitecture

HBase —Distributed Database & Hive — Distributed Data Warehouse

■ HBase —Distributed Database

■ HBase Overviewand Data Models

■ HBaseArchitecture

■ HBasePerformance Tuning

■ Common ShellCommands of HBase

■ Hive —Distributed Data Warehouse

■ Hive Overview

■ Hive Functionsand Architecture

■ Basic HiveOperations

ClickHouse —Online Analytical Processing Database Management System

■ ClickHouseOverview

■ ClickHouseArchitecture and Basic Features

■ EnhancedFeatures of ClickHouse

MapReduce andYARN Technical Principles

■ MapReduce andYARN Overview

■ Functions andArchitectures of MapReduce and YARN

■ ResourceManagement and Task Scheduling in YARN

■ EnhancedFeatures of YARN

Spark —In-memory Distributed Computing Engine & Flink — Stream and Batch Processingin a Single Engine

■ Spark —In-memory Distributed Computing Engine

■ Spark Overview

■ Spark DataStructure

■ Spark Principlesand Architecture

■ Flink — Streamand Batch Processing in a Single Engine

■ Flink Principlesand Architecture

■ Flink Time andWindow

■ Flink Watermark

■ Flink FaultTolerance Mechanism

Flume~s MassiveLog Aggregation & Kafka~s Distributed Messaging System

■ Flume: MassiveLog Aggregation

■ Overview andArchitecture

■ Key Features

■ Applications

■ Kafka:Distributed Messaging System

■ Overview

■ Architecture andFunctions

■ Data Management

Elasticsearch —Distributed Search Engine

■ Overview

■ SystemArchitecture

■ Key Features

MRS Huawei~s BigData Platform

■ Overview of MRS

■ MRS Components

■ MRS Cloud-NativeData Lake Baseline Solution

Huawei DataArtsStudio

■ Data Governance

■ Huawei DataArtsStudio

Related Exam

The examination is NOT belong to the scope of training, and it needs to be purchased separately.

Related Certificate Exam

Exam Code

Exam Name

H13-711

HCIA-Big Data

Programme scope, delivery arrangements and suitability are confirmed during enquiry.