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 can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...
Http://www.aliyun.com/zixun/aggregation/13383.html ">spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is based on memory computing and has more performance than Hadoop , even with disk, the calculation of the iteration type will increase by 10 times times. Spark is a rare all-round player, starting from multiple iterations, eclectic data Warehouse, stream processing and graph calculation. Spar ...
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 ...
The authors observed that Apache Spark recently sent some unusual events, Databricks will provide $14m USD support Spark,cloudera decided to support Spark,spark is considered a big issue in the field of large data. A good first impression the author believes that he has been dealing with Scala's API (spark using Scala) for some time, and, to tell you the truth, was very impressive at first because spark was so small and good. The basic abstraction is the projectile ...
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 ...
"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 ...
Star Ring Technology's core development team participated in the deployment of the country's earliest Hadoop cluster, team leader Sun Yuanhao in the world's leading software development field has many years of experience, during Intel's work has been promoted to the Data Center Software Division Asia Pacific CTO. In recent years, the team has studied large data and Hadoop enterprise-class products, and in telecommunications, finance, transportation, government and other areas of the landing applications have extensive experience, is China's large data core technology enterprise application pioneers and practitioners. Transwarp Data Hub (referred to as TDH) is the most cases of domestic landing ...
The operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...
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