Lightweight Nosql

MongoDB is currently the best document-oriented free Open-source NoSQL database. If you are preparing to participate in a technical interview for the MongoDB NoSQL database, you might want to look at the following MongoDB NoSQL interview questions and answers. These MongoDB NoSQL interview questions cover the basic concepts of NoSQL databases, replication (Replication), fragmentation (Sharding), Transactions and locks, trace analysis Tools (Profiler), nuances, and logging features. Let's look at the following ...

HBase provides both scalability and the economics of sharing the same infrastructure as Hadoop, but does its flaws rip off its hind legs? 　　The NoSQL expert laid out the debate frame. HBase is part of the world's most popular large data-processing platform, Apache Hadoop, modeled after Google BigTable. 　　But can this lineage guarantee hbase a dominant role in the competitive and fast-growing NoSQL database market? Michael of the MAPR company.

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

Memory computing, Hadoop and NoSQL are the three hotspots of large data analysis in the 2011. Curt Cotner, an IBM academician and DB2 General architect, said in a speech at the IOD2011 conference held in Las Vegas that the future direction of database development was the non-relational database NoSQL. At present, Google's BigTable and Amazon's dynamo are used NoSQL database, and the traditional relational database in dealing with ultra-high-scale, high concurrent SNS, web2.0 site has been powerless. IBM Institute ...

Today, the arrival of "big data" is no doubt, especially in telecommunications, finance and other industries, almost to the "data is the business itself". This trend has made a lot of changes to companies that believe in the power of data. At this time, in order to allow more people to understand and use the analysis of large data, CSDN's exclusive large data technology conference was held today in Beijing CTS building. The conference brings together Hadoop, NoSQL, data analysis and mining, data warehousing, business intelligence and open source cloud computing architecture and many other hot topics. Including hundred ...

Introduction with the advent of the cloud computing era, various types of Internet applications are emerging, the relevant data model, distributed architecture, data storage and other database related technical indicators also put forward new requirements. Although the traditional relational database has occupied the unshakable position in the data storage, but because of its inherent limitation, has been unable to satisfy the cloud computing age to the data expansion, reads and writes the speed, the support capacity as well as the construction and the operation cost request. The era of cloud computing has put forward a new demand for database technology, which is mainly manifested in the following aspects. Mass data processing: to ...

According to the IDC survey, global data volumes reached 1.2ZB at the end of 2010. By 2020, global electronic devices will have a 30 times-fold increase in data storage, up to 35ZB (equivalent to 1 billion 1TB of hard disk capacity). But for the prepared enterprise this is undoubtedly an information gold mine, with the progress of data mining technology, valuable information will become easy to obtain. With the advent of the large data age, data storage, data mining, and processing and analysis of large data-related technologies are more concerned than ever. Big data is becoming the cornerstone of enterprise development, and gradually ...

Several years of work down, also used several kinds of database, accurate point is "database management system", relational database, there are nosql. Relational database: 1.MySQL: Open source, high performance, low cost, high reliability (these features tend to make him the preferred database for many companies and projects), for a large scale Web application, we are familiar with such as Wikipedia, Google, and Facebook are the use of MySQL. But the current Oracle takeover of MySQL may give us the prospect of using MySQL for free ...

The drawbacks of "editor's note" Hadoop are also as stark as its virtues--large latency, slow response, and complex operation. is widely criticized, but there is demand for the creation, in Hadoop basically laid a large data hegemony, many of the open source project is to make up for the real-time nature of Hadoop as the goal is created, Storm is at this time turned out, Storm is a free open source, distributed, A highly fault-tolerant real-time computing system. The storm makes continuous flow calculation easy, making up for the real-time ...

This article is my second time reading Hadoop 0.20.2 notes, encountered many problems in the reading process, and ultimately through a variety of ways to solve most of the. 　　Hadoop the whole system is well designed, the source code is worth learning distributed students read, will be all notes one by one post, hope to facilitate reading Hadoop source code, less detours. 1 serialization core Technology The objectwritable in 0.20.2 version Hadoop supports the following types of data format serialization: Data type examples say ...