Elastic Search Index

Recently, the Amazon Official blog post describes how to use Kinesis Connector to Elasticsearch for streaming data search and interaction, This will help group developers easily develop an application to download large-scale streaming data to Elasticsearch cluster from kinesis real-time and reliably. According to the official introduction, Elasticsearch is an open source search and analysis engine that enables real-time indexing of structured and unstructured data. Kibana is elasticsear ...

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

"The key is not in what methods, but in being able to really solve problems using any available tool or method," said Forrester analyst James Kobielus in a blog about Big data. "In recent years, with the urgent sense of solving big data problems, many organizations have started to explore the data architects." 　　In short, traditional databases and business intelligence tools that they typically use to analyze enterprise data are no longer competent for large data-processing tasks. To understand this challenge, we must go back to 10 years ago: There were very few t ...

From Wikipedia, the free encyclopediajump to:navigation, Searchapache hadoopdeveloped byapache Software RELEASE0.18.2/3 November 2008; Agowritten injavaoscross-platformt ...

The distributed computing technology proposed by Google makes it easy for developers to develop global application services, and cloud computing technology automates the management of communication, task allocation, and distributed storage among a large number of standardized (heterogeneous) computers. 　　The cloud comes from a decentralized, parallel operation, but better than the grid. Data computing cloud technology can be considered as a sub-set of grid technology, both of which are designed to hide the complexity of the system, so that users need to use it without knowing how the system works inside. The parties follow up with Google to promote cloud services, but the definition is different ...

Explore cloud computing and the various cloud platforms offered by key vendors such as Amazon, Google, Microsoft® and Salesforce.com. In part 1th of this three-part series, we'll give you a typical example of an enterprise application that uses a JMS queue, and look at what will be involved in using a part of this JMS infrastructure in the cloud. ...

People rely on search engines every day to find specific content from the vast Internet data, but have you ever wondered how these searches were performed? One way is Apache's Hadoop, a software framework that distributes huge amounts of data. One application for Hadoop is to index Internet Web pages in parallel. Hadoop is a Apache project supported by companies like Yahoo !, Google and IBM ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

Hadoop was formally introduced by the Apache Software Foundation Company in fall 2005 as part of the Lucene subproject Nutch. It was inspired by MapReduce and Google File System, which was first developed by Google Lab. March 2006, MapReduce and Nutch distributed File System (NDFS) ...