Apache Big Data

Cloudera recently released a news article on the Rhino project and data at-rest encryption in Apache Hadoop. The Rhino project is a project co-founded by Cloudera, Intel and Hadoop communities. This project aims to provide a comprehensive security framework for data protection. There are two aspects of data encryption in Hadoop: static data, persistent data on the hard disk, data transfer, transfer of data from one process or system to another process or system ...

Currently, the Hadoop distribution has an open source version of Apache and a Hortonworks distribution (HDP Hadoop), MapR Hadoop, and so on. All of these distributions are based on Apache Hadoop.

Apache Hadoop and MapReduce attract a large number of large data analysis experts and business intelligence experts. However, a wide range of Hadoop decentralized file systems, or the ability to write or execute mapreduce in the Java language, requires truly rigorous software development techniques. Apache Hive will be the only solution. The Apache Software Foundation Engineering Hive's database component, is also based on the cloud Hadoop ecosystem, provides the context based query statement called Hive query statement. This set of ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Figuratively Architec ...

With the development of Internet technology, a great amount of information is produced every day in the network, which includes semi-structured and unstructured data. Organizations can find out what their customers really need and why they need it through an analysis of massive amounts of information. Now Apache Hadoop has become the driving force behind the development of the big data industry. Facebook engineers believe they run the largest data collection platform based on Hadoop. Facebook vice president of infrastructure engineering, Jay Parikh, said Faceboo ...

The authors observed that http://www.aliyun.com/zixun/aggregation/14417.html ">apache Spark recently issued some unusual events databricks will provide $ 　　14M USD supports Spark,cloudera decision to support Spark,spark is considered a big issue in the field of large data. The beautiful first impressions of the author think that they have been used with Scala's API (spark).

Big Data 處理 using Apache Hadoop to explore the use of Hadoop for large data processing under cloud computing systems [download Address]http://bbs.chinacloud.cn/showtopic-11793.aspx

"Editor's note" Recently, MAPR has formally integrated the Apache drill into the company's large data-processing platform, and opened up a series of large database-related tools. Today, in the highly competitive field of Hadoop, open source has become a tool for many companies, they have to contribute more code to protect themselves, but also through open source to attack other companies. In this case, Derrick Harris made a brief analysis on Gigaom. Recently, Mapr,apache Drill Project founder, has ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...