`

Elasticsearch for Hadoop

阅读更多

太强了


 

 

Seamlessly Move Data between Elasticsearch and Hadoop

With a native integration and a rich query API, ES-Hadoop lets you index data directly into Elasticsearch from Hadoop, query Elasticsearch from Hadoop, and use HDFS as a long-term archive for Elasticsearch.

 

Queries Take (Sub)Seconds — Not Minutes, Hours, or Days

While Hadoop lets you batch, join, and analyze to your heart’s content, its queries aren’t the quickest. ES-Hadoop changes that by providing a bridge for index your Hadoop data into Elasticsearch, letting you take full advantage of its querying speed and get value from it faster than ever before.

 

Have Your Real-Time Search with Analytics, Too

Elasticsearch is a powerful search and analytics engine, fully-loaded with a variety of aggregations. ES-Hadoop is an easy way for you to index your Hadoop data into Elasticsearch and analyze (even visualize!) while you search.

 

Enhanced Security Keeps Your Big Data in the Right Hands

Manage who has access to your data and prevent snooping over the wire to preserve data confidentiality. ES-Hadoop's enhanced security includes basic HTTP authentication, support for SSL/TLS for connections between Elasticsearch and Hadoop clusters, and also works with Kerberos-enabled Hadoop and Shield-enabled Elasticsearch clusters.

 

Works with Any Flavor of Hadoop Distribution

We are official partners with Cloudera, Mapr, Hortonworks, Databricks, and Concurrent, so whether you're using vanilla Hadoop or other distributions, we've got you covered. We are certified on Cloudera Enterprise 5 and Certified Technology Partners with Hortonworks.

 

Get Maximum Flexibility Regardless of Computing Framework

The Hadoop ecosystem is rich with computing frameworks — ES-Hadoop lets you use Elasticsearch with many of them. We provide a dedicated Input and Output format for vanilla MapReduce, taps for reading and writing data in Cascading, storage handlers for Pig, table extensions for Hive, Spark Resilient Distributed Dataset (RDD) for Java and Scala, and support for Storm’s bolt and spout abstractions so you can access Elasticsearch just as if the data were in HDFS.

 

Visualize Your Hadoop Data using Kibana

Elasticsearch works with Kibana to help you visually explore your big data in real time. With beautifully designed graphs, charts, and maps, Kibana transforms your data into real-time, customizable dashboards that let you see the value in your data.

  • 大小: 77.8 KB
分享到:
评论

相关推荐

    Elasticsearch for Hadoop azw3

    Elasticsearch for Hadoop 英文azw3 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除

    Elasticsearch集成Hadoop最佳实践

    扫描完整版带书签 Elasticsearch集成Hadoop最佳实践 Elasticsearch集成Hadoop最佳实践

    elasticsearch-hadoop-2.4.0.zip

    兼容hadoop的elasticsearch,对应hadoop版本为2.4.0

    elasticsearch-hadoop-8.5.3.zip

    Elasticsearch for Apache Hadoop (ES-Hadoop),elasticsearch-hadoop-8.5.3.zip

    Free-Elasticsearch-Books

    免费Elasticsearch书籍 ... Elasticsearch for Hadoop Elasticsearch实战 Elasticsearch索引编制 Elasticsearch Server-第三版 Elasticsearch权威指南 Elasticsearch教程-tutorialspoint.com [下载] Elastics

    Apache Flume Distributed Log Collection for Hadoop(PACKT,2ed,2015)

    Follow along a detailed example of transporting weblogs in Near Real Time (NRT) to Kibana/Elasticsearch and archival in HDFS Learn tips and tricks for transporting logs and data in your production ...

    Modern Big Data Processing with Hadoop

    It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to ...

    Modern Big Data Processing with Hadoop-Packt Publishing(2018)

    time streaming pipelines by leveraging tools such as Apache Spark, as well as building efficient enterprise search solutions using tools such as Elasticsearch. You will build enterprise-grade ...

    TensorFlow for Deep Learning

    Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL ...

    大数据图标大全.docx

    Flume 数据采集工具 Sqoop 数据ETL工具 ElasticSearch 搜索系统 Logstash 日志采集工具 Kibana 数据展现工具 Ranger 集中安全管理工具 Atlas 数据治理和元数据管理框架 kettle ETL工具 mongodb Key-value数据库 ...

    Using Flume(O'Reilly,2014)

    you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic ...

    Big Data Architect’s Handbook 2018pdf

    It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data ...

    .Using.Flume.Flexible.Scalable.and.Reliable.Data.Streaming

    you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic ...

    Learning Apache Flink电子版

    The final part of the book would consist of topics such as scaling Flink solutions, performance optimization, and integrating Flink with other tools such as Hadoop, ElasticSearch, Cassandra, and ...

    Using.Flume.Flexible.Scalable.and.Reliable.Data.Streaming.pdf

    you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic ...

    Scalable Big Data Architecture(Apress,2015)

    which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how ...

Global site tag (gtag.js) - Google Analytics