Companies Using Apache Spark

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

Spark is a memory-based, open-source cluster computing system designed for faster data analysis. Spark was developed using Scala by Matei, AMP Labs, University of California, Berkeley. The core part of the code is only 63 Scala files, which is very lightweight. Spark provides an open source clustered computing environment similar to Hadoop, but Spark performs better on some workloads based on memory and iteratively optimized designs. & nbs ...

Among them, the first one is similar to the one adopted by MapReduce 1.0, which implements fault tolerance and resource management internally. The latter two are the future development trends. Some fault tolerance and resource management are managed by a unified resource management system: http : //www.aliyun.com/zixun/aggregation/13383.html "> Spark runs on top of a common resource management system that shares a cluster resource with other computing frameworks such as MapReduce.

According to sort Benchmark's latest news, Databricks's spark tritonsort two systems at the University of California, San Diego, 2014 in the Daytona graysort tied sorting contest. Among them, Tritonsort is a multi-year academic project, using 186 EC2 i2.8xlarge nodes in 1378 seconds to complete the sorting of 100TB data, while Spark is a production environment general-purpose large-scale iterative computing tool, it uses 207 ...

At the moment, http://www.aliyun.com/zixun/aggregation/13383.html ">spark has gained popularity, and a distributed computing approach based on map reduce makes spark similar to Hadoop, 　　It is more versatile than Hadoop, with more efficient iterations and more fault-tolerant capabilities, and future spark will be a very successful parallel computing framework. "Editor's note" author Mikio Braun is Berlin industrial big ...

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 ...

As a common parallel processing framework, http://www.aliyun.com/zixun/aggregation/13383.html ">spark has some advantages like Hadoop, and Spark uses better memory management, In iterative computing has a higher efficiency than Hadoop, Spark also provides a wider range of data set operation types, greatly facilitate the development of users, checkpoint application so that spark has a strong fault tolerance, many ...

According to relevant data, China's mobile internet users in the first half of 2013 has exceeded the 500 million mark, is expected in the first quarter of 14, the domestic mobile internet users will be over the PC, mobile phone users more than 1 billion, 3G users continue to grow, as well as 4G strong momentum, have spawned mobile large data explosion. 　　A lot of new data is emerging all the times, and the mobile Internet is affecting all aspects of human life. This will be an unprecedented era. All companies and institutions are or are becoming mobile internet organizations. All companies and institutions will eventually be big data organizations for cloud computing. Move ...

Cloudera has courted four mainstream companies to work together to push for a combination of two big open source projects to further improve the planning of the Hadoop community's power. Cloudera, IBM, Intel, Databricks and MAPR have established a partnership to migrate Apache Hive to Apache Spark, which was released at the Spark Summit in San Francisco this week. We have received the news last week, there are rumors that Cloudera will recommend the hive with ...

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.