Spark Sql Top

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 ...

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...

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 ...

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 ...

This ranking is based on the DB engines list, which analyses 200 different databases on the market, listing top 10. The undisputed top 3 Oracle, MySQL, and Microsoft SQL Server have all along been occupying the first three of the rankings with an absolute advantage, carving out the largest number of users in the market with unique advantages. 1. Oracle 11g First release: 1980 Licensing mechanism: Proprietary SQL: Yes ...

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 ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, 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 Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

"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. Star Ring Technology CTO Sun Yuanhao ...

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 ...