Apache Flume Syllabus

Introduction to Apache Flume

Apache Flume is a distributed service for efficiently collecting, aggregating, and moving large amounts of log data. This module introduces Apache Flume, covering its architecture, core features, and use cases in data collection and aggregation.

Setting Up Apache Flume

Learn how to install and configure Apache Flume. This section covers system requirements, installation procedures, and initial setup. Explore how to configure Flume agents, channels, and sinks to set up a data collection pipeline.

Understanding Flume Architecture

Discover the architecture of Apache Flume, including its key components such as sources, channels, and sinks. Learn about how Flume’s architecture supports data flow and processing, and how to design a robust data collection system.

Configuring Flume Agents

Gain insights into configuring Flume agents. Learn about setting up sources to collect data, configuring channels to buffer data, and setting up sinks to deliver data to various destinations. Explore how to manage agent configurations and monitor their performance.

Data Collection and Aggregation

Understand how to use Apache Flume for data collection and aggregation. Learn about different data collection patterns, aggregating data from various sources, and ensuring reliable data delivery. Explore how to handle different data formats and sources.

Monitoring and Troubleshooting

Learn how to monitor and troubleshoot Apache Flume. Explore tools and techniques for tracking agent performance, diagnosing issues, and resolving common problems. Understand how to ensure data integrity and system reliability.

Integration with Other Systems

Discover how to integrate Apache Flume with other systems and technologies. Learn about connecting Flume to Hadoop, databases, and cloud services. Explore how to use Flume in combination with other data processing and analytics tools.

Performance Tuning and Best Practices

Explore performance tuning and best practices for using Apache Flume effectively. Learn how to optimize data throughput, manage resources, and ensure efficient operation. Understand best practices for configuring and maintaining Flume agents.

Advanced Features and Customization

Learn about advanced features and customization options in Apache Flume. Explore how to extend Flume with custom sources, sinks, and channels. Understand how to adapt Flume to meet specific requirements and integrate with complex data workflows.

Apache Flume Syllabus

Introduction

  • Overview
  • Architecture
  • Data flow mode
  • Reliability and Recoverability

Setting Up An Agent

  • Configuring individual components
  • Wiring the pieces together
  • Data ingestion
  • Executing Commands
  • Network streams

Setting Multi-Agent Flow

  • Consolidation
  • Multiplexing the flow

Configuration

  • Defining the flow
  • Configuring individual components
  • Adding multiple flows in an agent
  • Configuring A Multi-Agent Flow
  • Fan-out flow

Flume Sources

  • Avro Source
  • Exec Source
  • NetCat Source
  • Sequence Generator Source
  • Syslog Sources
    • Syslog TCP Source
    • Syslog UDP Source
  • Legacy Sources
    • Avro Legacy Source
    • Thrift Legacy Source
  • Custom Source

Flume Sinks

  • HDFS Sink
  • Logger Sink
  • Avro Sink
  • IRC Sink
  • File Roll Sink
  • Null Sink
  • HBase Sinks
    • HBase Sink
    • Async HBase Sink
  • Custom Sink

Flume Channels

  • Memory Channel
  • JDBC Channel
  • Recoverable Memory Channel
  • File Channel
  • Pseudo Transaction Channel
  • Custom Channel

Flume Channel Selectors

  • Replicating Channel Selector
  • Multiplexing Channel Selector
  • Custom Channel Selector

Flume Sink Processors

  • Default Sink Processor
  • Failover Sink Processor
  • Load Balancing Sink Processor
  • Custom Sink Processor

Flume Interceptors

  • Timestamp Interceptor
  • Host Interceptor

Flume Properties

  • Property
  • Security

Monitoring

  • Monitoring techniques
  • Handling agent failures

Troubleshooting

  • Common issues and solutions

Compatibility

  • HDFS
  • AVRO

Training

Basic Level Training

Duration : 1 Month

Advance Level Training

Duration : 1 Month

Project Level Training

Duration : 1 Month

Total Training Period

Duration : 3 Months

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