What is Apache Flume?
Apache Flume is an open-source tool for collecting, aggregating, and moving large amounts of streaming data from the external web servers to the central store, say HDFS, HBase, etc. It is a highly available and reliable service which has tunable recovery mechanisms. The major purpose of designing Apache Flume is to move streaming data generated by different applications to Hadoop Distributed File System(HDFS).
Why Apache Flume?
An enterprise has millions of services that are running on multiple servers. Thus, produce lots of logs. In order to gain insights and understand client behavior, they are required to analyze these logs altogether. In order to process logs, an enterprise needs an extensible, scalable, and reliable distributed data collection service. That service must be capable of performing the flow of unstructured data such as logs from source to the system where they will be processed (such as in Hadoop Distributed File System). Flume is an open-source distributed data collection service used for transferring the data from source to destination.
Flume has a simple and flexible architecture. Apache Flume is highly robust and fault-tolerant and has tunable reliability mechanisms for fail-over and recovery. It provides the collection of data collection as well as in streaming mode.
Features of Apache Flume:
Here, some of the major features were discussed below.
•Flume ingests log data from multiple web servers into a centralized store (HDFS, HBase) efficiently. By using Flume, we can get the information from multiple servers immediately into Hadoop.
•Along with the log files, Flume is also used to import large volumes of event information produced by social networking sites such as Facebook and Twitter, and e-commerce websites such as Amazon and Flipkart.
•Apache Flume assists a huge set of sources and destinations types.
•Flume assists multi-hop flows, fan-in fan-out flows, contextual routing, etc.
•This tool can be scaled horizontally.
Advantages of Apache Flume:
•This tool allows us to store streaming data into any of the centralized repositories (like HBase, HDFS).
•Flume offers steady data flow between producer and consumer during reading2/write operations. This flume assists the feature of contextual routing and the tool can guarantee reliable information delivery.
•Apache Flume is most reliable, scalable, extensible, fault-tolerant, manageable, and customizable.
Disadvantages of Apache Flume:
•Apache Flume provides weaker ordering guarantees. This tool does not guarantee that the information reaching is hundred percent unique. It also has complex topology and reconfiguration is challenging.
•Apache Flume may suffer from scalability and reliability issues.
Applications of Apache Flume:
•Apache Flume is used by e-commerce enterprises to analyze client behavior from a particular region.
•We can use Apache Flume to move large amounts of information generated by application servers into the Hadoop Distributed File System at a higher speed. This tool is used for fraud detections.
•We can use Apache Flume in Internet of Things(IOT) applications. This can be used for aggregating machine and sensor-generated information.
•We can use Apache Flume in the alerting or SIEM.
Latest Developments of Apache Flume:
Most often Hadoop developers use this tool to get log data from social media sites. It is developed by Cloudera for aggregating and moving a very huge amount of data. The primary use is to gather log files from various sources and asynchronously persists in the Hadoop cluster. Apache Flume has scent percent plugin-based architecture. It can load and ship data from external sources to external destinations which are separate from Flume. So that most of the big data analysts use this tool for streaming data.
Market Share of Apache Flume:
Apache flume is a most useful tool and it has a lot of opportunities from so many reputed enterprises around the world. Apache Flume has a market share of about 70.37 percent. An Apache Flume skillful employee can easily earn up to $130,000.
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