Cloudera Mapr

April 19, 2014 Spark Summit China 2014 will be held in Beijing. The Apache Spark community members and business users at home and abroad will be gathered in Beijing for the first time. Spark contributors and front-line developers from AMPLab, Databricks, Intel, Taobao, NetEase, and others will share their Spark project experience and best practices in production environments. MapR is well-known Hadoop provider, the company recently for its Ha ...

Guide: Recent American "Wired" magazine author Cade Metz to write a mapr commentary article. He believes MAPR has the necessary elements to develop Hadoop and succeed. The following is the full text m.c. Srivas (MAPR founder) helped build Google search engine, he made Google search engine amazing! If the user enters the "2005 Honda Accord" in the Google search box, Google search will be considerate to know that you are looking for a suitable family class sedan. And not only ...

"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 ...

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.

Recently, hortonworks with the data Application Platform Developer Concurrent formally established the Alliance, and as Hortonworks strong competitor Cloudera, in order to compete for more Hadoop market share also launched a series of plans, 　　Facing the 813 million dollar market in the future, both sides are committed to expand in the channel, pull into the various forces, a fierce competition is underway, the following look at the CNR's Rick Whiting for us to bring a wonderful analysis. The following is the original: C ...

Cloudera and NetApp announced a partnership in Monday, and NetApp will sell Cloudera's Apache Hadoop distribution and enterprise management software as agreed by both parties Cloudera will support the storage baseline open Solution for Hadoop that NetApp is about to release in December. This collaboration is clearly a response to NetApp's collaboration with MAPR Technologies in May this year. As part of that deal, ...

If you have a lot of data in your hands, then all you have to do is choose an ideal version of the Hadoop release. The old rarity, once a service for Internet empires such as Google and Yahoo, has built up a reputation for popularity and popularity and has begun to evolve into an ordinary corporate environment. There are two reasons for this: one, the larger the size of the data companies need to manage, and Hadoop is the perfect platform to accomplish this task-especially in the context of the mixed mix of traditional stale data and new unstructured data;

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

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, ...

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, ...