Mongodb Big Data Example

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets. 　　Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

A few days ago on the hacknew appeared an article, the title is very sturdy, called "Don" T use http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb", Its content is also directly expressed dissatisfaction with the MongoDB, the author enumerated the MongoDB in the use of various problems encountered. Even rise to the challenge of their development team, saying they may only care about benchmark data, not the number of users ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire. 　　Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. 　　In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following is the enterprise should know the surrounding ...

In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following are the 10 largest companies that should know about the big data ...