Ruby Map With Index

In our daily life, we are inseparable from the application of position recognition class. Apps like Foursquare and Facebook help us share our current location (or the sights we're visiting) with our family and friends. Apps like Google Local help us find out what services or businesses we need around our current location. So, if we need to find a café that's closest to us, we can get a quick suggestion via Google Local and start right away. This not only greatly facilitates the daily life, ...

HBase terms in this article: column-oriented: Row column Group: Column families Column: Column unit: Cell Understanding HBase (an Open-source Google bigtable practical application) The biggest difficulty is what is HBase's data structure concept? First HBase is different from the general relational database, which is a database suitable for unstructured data storage. Another difference is that HBase is based on columns rather than on rows. Goo ...

This article, formerly known as "Don t use Hadoop when your data isn ' t", came from Chris Stucchio, a researcher with years of experience, and a postdoctoral fellow at the Crown Institute of New York University, who worked as a high-frequency trading platform, and as CTO of a start-up company, More accustomed to call themselves a statistical scholar.   　　By the right, he is now starting his own business, providing data analysis, recommended optimization consulting services, his mail is: stucchio@gmail.com. "You ...

First of all: Hadoop is disk-level computing, when computing, data on disk, need to read and write disk; http://www.aliyun.com/zixun/aggregation/13431.html ">storm is a memory-level calculation, Data imports memory directly over the network. Read/write memory is faster n order of magnitude than read-write disk. According to the Harvard CS61 Courseware, disk access latency is about 75,000 times times the latency of memory access. 　　So storm faster. ...

Summary: Data analysis Framework (traditional data analysis framework, large data analysis framework) medical large data has all the features mentioned in the first section. At the same time that large data brings with it a variety of advantages, the wide variety of features that result from the traditional data processing data analysis Framework (traditional data analysis framework, large data analysis framework) medical large data have all the features mentioned in the first section. While the medical data brings various advantages, large data brings with it various characteristics, which make the traditional data processing and analysis methods and software stretched ...

The Battle of cloud Computing in the enterprise market has begun: new cloud service providers such as AWS have moved the cheese of traditional it giants in the corporate market, and traditional giants have struggled to fight back. With the advent of traditional it giants, PAAs markets have become more cluttered than ever before. 　　The only definite consensus seems to be one: everyone likes the word "platform/platform," because the word "platform" has unlimited imagination. More and more people are starting to talk and focus on PAAs, including operators, internet giants, traditional it vendors, consulting and integration ...

Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for Web applications. Products between relational and non relational databases are among the most functionally rich and most like relational databases in relational databases. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. MONGO the most characteristic is that he supports the query language is very powerful, its syntax is somewhat similar to the object-oriented query language, can almost actually ...

Summary: Semwatch data loss, before I wrote a few articles are gone. Although a snapshot from Baidu and other ways can be restored, but they do not feel the need, because it is a few months ago to write something. Especially in their own blog, every few months will be the previous Semwatch data loss, before I wrote a few articles are gone. Although a snapshot from Baidu and other ways can be restored, but they do not feel the need, because it is a few months ago to write something. Especially in their own blog, every few months will be the previous article deleted, because every once in a while looking back when ...

2010 should be remembered because SQL will die this year. This year, the relational database is on the verge of falling, and this year developers found they no longer needed long, laborious columns or tables to store data. 2010 will be the starting year for document databases. Although this momentum has lasted for many years, it is now the era of more and broader document-based databases. From cloud-based Amazon to Google, a large number of open source tools, and the ensuing CouchDB and MongoDB. So what is MongoD ...