This Hadoop Fundamentals course teaches you the basics of Apache Hadoop and the concept of Big Data.
Hadoop Fundamentals
A definir
Objetivos
- It takes you on a journey that explains the Hadoop conceptual design
- It looks how to use the application and then manipulate data without the use of complex coding.
Destinatários
- This course targets it professionals that want to start learning Hadoop.
Pré-Requisitos
- Participants of this course need to have some understanding of Java/Python programming and SQL.
Programa
- Hadoop 3: Background and Introduction
- Planning and Setting Up Hadoop Clusters
- Hadoop Distributed File System
- Developing MapReduce Applications
- Building Rich YARN Applications
- Monitoring and Administration of a Hadoop Cluster
- Demystifying Hadoop Ecosystem Components
- Other Topics in Apache Hadoop
Hadoop 3: Background and Introduction
- How it all started
- What Hadoop is and why it is important
- How Apache Hadoop works
- Hadoop 3.x releases and new features
- Choosing the right Hadoop distribution
Planning and Setting Up Hadoop Clusters
- Prerequisites for Hadoop setup
- Running Hadoop in standalone mode
- Setting up a pseudo Hadoop cluster
- Planning and sizing clusters
- Setting up Hadoop in cluster mode
- Diagnosing the Hadoop cluster
Hadoop Distributed File System
- How HDFS works
- Key features of HDFS
- Data flow patterns of HDFS
- HDFS configuration files
- Hadoop filesystem CLIs
- Working with data structures in HDFS
Developing MapReduce Applications
- How MapReduce works
- Configuring a MapReduce environment
- Understanding Hadoop APIs and packages
- Setting up a MapReduce project
- Deep diving into MapReduce APIs
- Compiling and running MapReduce jobs
- Streaming in MapReduce programming
Building Rich YARN Applications
- Understanding YARN architecture
- Key features of YARN
- Configuring the YARN environment in a cluster
- Working with YARN distributed CLI
- Deep dive with YARN application framework
- Building and monitoring a YARN application on a cluster
Monitoring and Administration of a Hadoop Cluster
- Roles and responsibilities of Hadoop administrators
- Planning your distributed cluster
- Resource management in Hadoop
- High availability of Hadoop
- Securing Hadoop clusters
- Performing routine tasks
Demystifying Hadoop Ecosystem Components
- Understanding Hadoop’s Ecosystem
- Working with Apache Kafka
- Understanding Hive
- Using HBase for NoSQL storage
Other Topics in Apache Hadoop
- Hadoop use cases in industries
- Advanced Hadoop data storage file formats
- Data analytics with Apache Spark
