Apache Spark Software

In attracting Cloudera, DataStax, MapR, Pivotal, Hortonworks and many other manufacturers to join, Spark technology in Yahoo, EBay, Twitter, Amazon, Ali, Tencent, Baidu, Millet, BEIJING-East and many other well-known domestic and foreign enterprises to practice. In just a year, spark has become open source to the hot, and gradually revealed the common big data platform with Hadoop's Chamber of the potential to fight. However, as a high-speed development of open source projects, the deployment process of ...

The Apache Spark is a memory data processing framework that has now been upgraded to a Apche top-level project, which helps to improve spark stability and replace mapreduce status in the next generation of large data applications. Spark has recently been very strong, replacing the mapreduce trend. 　　This Tuesday, the Apache Software Foundation announced Spark upgraded to a top-level project. Because of its performance and speed due to mapreduce and easier to use, spark currently has a large user and ...

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 ...

Since May 30, the Apache Software Foundation announced the release of the open source Platform Spark 1.0, Spark has repeatedly headlines, has been the focus of data experts. 　　But is Spark's business application era really coming? From the recent Spark Summit in the United States, we are still full of confidence in spark technology. Spark is often considered a real-time processing environment, applied to Hadoop, NoSQL databases, AWS, and relational databases, and can be used as an API for application interfaces, and programmers process data through a common program ...

The Apache Software Foundation has officially announced that Spark's first production release is ready, and this analytics software can greatly speed up operations on the Hadoop data-processing platform. 　　As a software project with the reputation of a "Hadoop Swiss Army Knife", Apache Spark can help users create performance-efficient data analysis operations that are faster than they would otherwise have been on standard Apache Hadoop mapreduce. Replace MapReduce ...

Spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is a rare versatile player, based on memory computing, starting with multiple iterations, and eclectic data warehousing, streaming and graph computing paradigms. Spark is now the Apache Foundation's top open source project, with a huge community support, technology is gradually maturing, but to really put into production, but also need to undergo a lot of optimization. To shark, Spark streaming and related projects as the theme, Spark Summ ...

The 2013 China Hadoop Summit Forum, following the October end of the Hadoop technology, the largest company in the United States Cloudera Company announced and Databricks cooperation, providing the Apache Spark Computing framework of technical support, the local large data platform software company Star-ring information technology ( Shanghai) Co., Ltd. (hereinafter referred to as "star-ring technology") took the lead in the domestic launch of a large data platform products transwarp, the integration of Apache Spark and Apache Hadoop 2 ....

Http://www.aliyun.com/zixun/aggregation/14112.html ">hortonworks's new code improved integration of Spark and Hive, 　　and plan for security and performance upgrades to the Spark memory analysis platform. The Apache Spark Memory analysis platform is now a hot technology in the field of large data analysis, and the Hadoop publisher Hortonworks recently decided to increase its commitment to spark. This week ...

Over the past two years, the Hadoop community has made a lot of improvements to mapreduce, but the key improvements have been in the code layer, http://www.aliyun.com/zixun/aggregation/13383.html "> 　　Spark, as a substitute for MapReduce, has developed very quickly, with more than 100 contributors from 25 countries, and the community is very active and may replace MapReduce in the future. The high latency of mapreduce has become ha ...

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 ...