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Today, I attended 3 keynotes,42 sessions of 8, and a lot of vendors to discuss technology, is really a big bang day. Hadoop has been around for 7 years since its inception, and this year has seen many new changes: 1, Hadoop is recognized as a set of industry data standard open source software, in a distributed environment to provide a large number of data processing capacity (Gartner). Almost all major manufacturers revolve around Hadoop development tools, Open-source software, commercial tools, and technical services. This year, large IT companies, such as ...

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 ...

Before yarn, Hadoop was only available for offline processing scenarios. Based on real-time demand, organizations have developed their own streaming framework, this time we are talking about two sql-on-hadoop projects, as well as two well-known Hadoop solution Providers--impala vs. Stinger. Singer:stinger first appeared in Hive 0.11 (HDP 1.3), with a total of 3 phase goals, of which phase I and II had been delivered. Through the hortonwo ...

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

Ufida UAP Data platform has the ability of large data processing and analysis, it mainly relies on unstructured data processing platform Udh (UAP distribute for Hadoop) to complete. 　　UDH includes Distributed file system, storage database, distributed analysis and computing framework for Distributed batch processing, real-time analysis query, stream processing and distributed batch processing based on memory, and distributed data mining. In today's big data, companies can not blindly follow, but should understand why big data is so hot, why pay attention to it. Its ...

The term “big data” has been on fire for several years. In the last one or two years, the limelight seems to have been taken away by the concepts of artificial intelligence and deep learning, and has gradually become a “out of gas” technical vocabulary.

With Facebook opening up the recently released Presto, the already overcrowded SQL in Hadoop market has become more complex. Some open-source tools are trying to get the attention of developers: Hortonworks around the hive created Stinger, Apache Drill, Apache Tajo, Cloudera Impala, Salesforce's Phoenix (for HBase) and now Facebook Presto. ...