Shulou(Shulou.com)05/31 Report--

This article mainly introduces "what are the main components of Hadoop". In daily operation, I believe many people have doubts about what the main components of Hadoop contain. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for you to answer the questions of "what are the main components of Hadoop?" Next, please follow the editor to study!

What are the main components of Hadoop

Software framework written by Hadoop:Java to support data-intensive distributed applications

ZooKeeper: distributed Coordination system with High Reliability

MapReduce: a flexible parallel data processing Framework for big data

HDFS:Hadoop distributed file system

Oozie: responsible for MapReduce job scheduling

HBase:Key-value database

Hive: a data Warehouse package built on MapRudece

Pig:Pig is an advanced data processing layer based on Hadoop. The PigLatin language provides programmers with a more intuitive way to customize data streams.

What are the application scope and typical characteristics of HadoopMapReduce method

A huge amount of data

Little or no data dependency

Contains both structured and unstructured data

Suitable for large-scale parallel processing

Application use case

A batch analyzer fast enough to meet business needs and business reports, such as website traffic and product recommendation analysis.

Iterative analysis using data mining and machine learning algorithms. Such as association rule analysis K-means data aggregation, link analysis (data analysis technology), data mining classification, the famous Bayes algorithm analysis.

Statistical analysis and extraction, such as Web log analysis, data analysis

Behavior analysis, such as clickstream analysis, user video behavior, etc.

Conversion and enhancements such as social media, ETL processing, data standardization, etc.

In general, Hadoop is used in distributed environments. As was the case with Linux, vendors integrate and test components of the ApacheHadoop ecosystem and add their own tools and management capabilities.

At this point, the study of "what are the main components of Hadoop" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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