Infosyte | HCIA-Big Data

Huawei HCIA-Big Data v3.5

RM5,500.00

Course Duration: 5 Days

Categories: Huawei, Data Science, Data Science (Intermediate), Huawei Certified ICT Associate Tag: Huawei

Description
COURSE OUTLINE

Description

COURSE OBJECTIVE

After completing the training, you 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

PREREQUISITES

Has basic knowledge of network technology
Be familiar with basic operations on Linux operating systems.

AUDIENCE

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

MORE INFO

COURSE OUTLINE

COURSE OUTLINE

1. Big Data Development Trends and the Kunpeng Big Data Solution

Big Data Era
Big Data Application Fields
Challenges and Opportunities Faced by Enterprises
Huawei Kunpeng Solution

2. HDFS — Hadoop Distributed File System & ZooKeeper

HDFS
HDFS Overview
HDFS-related Concepts
HDFS Architecture
HDFS Key Features
HDFS Data Read/Write Process
ZooKeeper Distributed Coordination Service
ZooKeeper Overview
ZooKeeper Architecture

3. HBase — Distributed Database & Hive — Distributed Data Warehouse

HBase — Distributed Database
HBase Overview and Data Models
HBase Architecture
HBase Performance Tuning
Common Shell Commands of HBase
Hive — Distributed Data Warehouse
Hive Overview
Hive Functions and Architecture
Basic Hive Operations

4. ClickHouse — Online Analytical Processing Database Management System

ClickHouse Overview
ClickHouse Architecture and Basic Features
Enhanced Features of ClickHouse

5. MapReduce and YARN Technical Principles

MapReduce and YARN Overview
Functions and Architectures of MapReduce and YARN
Resource Management and Task Scheduling in YARN
Enhanced Features of YARN

6. Spark — In-memory Distributed Computing Engine & Flink — Stream and Batch Processing in a Single Engine

Spark — In-memory Distributed Computing Engine
Spark Overview
Spark Data Structure
Spark Principles and Architecture
Flink — Stream and Batch Processing in a Single Engine
Flink Principles and Architecture
Flink Time and Window
Flink Watermark
Flink Fault Tolerance Mechanism

7. Flume’s Massive Log Aggregation & Kafka’s Distributed Messaging System

Flume: Massive Log Aggregation
Overview and Architecture
Key Features
Applications
Kafka: Distributed Messaging System
Overview
Architecture and Functions
Data Management

8. Elasticsearch — Distributed Search Engine

Overview
System Architecture
Key Features

9. MRS Huawei’s Big Data Platform

Overview of MRS
MRS Components
MRS Cloud-Native Data Lake Baseline Solution

10. Huawei DataArts Studio

Data Governance
Huawei DataArts Studio

AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia

AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia AWS Authorized Training Provider · O nly VEEAM Authorized Training Provider in Malaysia