Sql Explanation

In the context of large data, Microsoft does not seem to advertise their large data products or solutions in a high-profile way, as other database vendors do. And in dealing with big data challenges, some internet giants are on the front, like Google and Yahoo, which handle the amount of data per day, a large chunk of which is a document based index file. Of course, it is inaccurate to define large data so that it is not limited to indexes, e-mail messages, documents, Web server logs, social networking information, and all other unstructured databases in the enterprise are part of the larger data ...

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Hive is the most widely used SQL on Hadoop tool, and recently many major data companies have introduced new SQL tools such as Impala,tez,spark, based on column or memory hot data, although many people have a view of hive, inefficient, slow query, and many bugs. But Hive is still the most widely used and ubiquitous SQL on Hadoop tool. Taobao survey analysis of the previous report, Taobao 90% of the business run in hive above. The ratio of the storm audio and video ...

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Mysql limit usage: When we use the query, often to return to the first few or a few lines in the middle of the data, how to do this time? Do not worry, mysql has provided us with such a function. SELECT * FROM table LIMIT [offset,] rows | rows OFFSET & nbs ...

Azure, a simple and graceful word, has been given the emotional significance of all other programmers since November 28, 2008. 　　Yes, she is a big gamble of the vast Microsoft Empire. Azure, Full azure Services Platform. The homepage is Http://www.azure.com. 　　This is a new and very new gadget, which is rarely studied at home or abroad. What's azure? To put it simply, Azure services PLATFO ...

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There are often misconceptions about the relationship between big data and cloud computing. 　　And they will be mixed up to say, do one sentence of a straightforward explanation is: cloud computing is the virtualization of hardware resources, large data is the efficient processing of massive data. Although the above sentence explanation is not very appropriate, but can help you to understand the difference between the two. In addition, if you do a more vivid explanation, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resources virtualization after the allocation of use, in the field of cloud computing is now the boss of Amazon, can ...

Basically are in group discussion, when others ask the introductory questions, later thought of new problems to add in. 　　But the problem of getting started is also very important, the understanding of the principle determines the degree of learning can be in-depth. 　　Hadoop is not discussed in this article, only peripheral software is introduced. 　　Hive: This is the most software I've ever asked, and it's also the highest utilization rate around Hadoop. 　　What the hell is hive? How to strictly define hive is really not too easy, usually for non-Hadoop professionals ...