It gives us a solution which is reliable and distributed and helps us in collecting, aggregating and moving large amount of data sets like Facebook, Twitter and e-commerce websites.Using Flume, we can ingest data from multiple servers into Hadoop.The transactions in Flume are channel-based where two transactions (one sender & one receiver) are maintained for each message. Flume provides reliable message delivery.If the read rate exceeds the write rate, Flume provides a steady flow of data between read and write operations.Apache Flume can store data in centralized stores (i.e data is supplied from a single store) like HBase & HDFS.Flume is scalable, reliable, fault tolerant and customizable for different sources and sinks.There are several advantages of Apache Flume which makes it a better choice over others. Apache Flume Tutorial: Advantages of Apache Flume Then moving ahead, we will look at the architecture of Flume and try to understand how it works fundamentally. It is fault-tolerant and provides reliability mechanism for Fault tolerance & failure recovery.Īfter understanding what is Flume, now let us advance in this Flume Tutorial blog and understand the benefits of Apache Flume. It has simple and flexible architecture based on streaming data flows. The main idea behind the Flume’s design is to capture streaming data from various web servers to HDFS. Flume is a highly reliable & distributed. It collects, aggregates and transports large amount of streaming data such as log files, events from various sources like network traffic, social media, email messages etc. Apache Flume Tutorial: Introduction to Apache FlumeĪpache Flume is a tool for data ingestion in HDFS. Then moving ahead, we will understand the advantages of using Flume. We will be beginning this Flume tutorial by discussing about what is Apache Flume. In this Apache Flume tutorial blog, we will be covering: This is why Apache Flume is an important part of Hadoop Ecosystem. ![]() Flume can easily integrate with Hadoop and dump unstructured as well as semi-structured data on HDFS, complimenting the power of Hadoop. I hope you may be familiar with Apache Hadoop, which is being used tremendously in the industry as it can store all kinds of data. Lets talk about another important reason why Flume became so popular. There are be multiple sources from which data is gathered in an organization. Data ingestion is the initial & important step in order to process & analyse data, and then derive business values out of it. But before that let us understand the importance of data ingestion. In this Apache Flume tutorial blog, we will understand how Flume helps in streaming data from various sources.
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