April 2015
Beginner to intermediate
194 pages
4h 18m
English
Content preview from Hadoop EssentialsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Data ingestion
Data management in big data is an important and critical aspect. We have to import and export large scale data to do processing, which becomes unmanageable in the production environment. In Hadoop, we deal with different set of sources such as batch, streaming, real time, and also sources that are complex in data formats, as some are semi-structured and unstructured too. Managing such data is very difficult, therefore we have some tools for data management such as Flume, Sqoop, and Storm, which are mentioned as follows:
- Apache Flume: Apache Flume is a widely used tool for efficiently collecting, aggregating, and moving large amounts of log data from many different sources to a centralized data store. Flume is a distributed, reliable, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.