What Is Meant By Data Type

The most sexy it technology at the moment is undoubtedly big data. 　　Today, the big data has even become the Chi of white hair, at least some of the taxi drivers met to Kan for half a day, so it is also logical to think that all do not need large data thinking business development enterprises are bullying, you can not have large data items, but you should be in the preparation of data on the road. But wait a minute, even if companies don't want to bullying, big data is not meant to be on the table – it often means new IT spending because traditional systems can't handle it. Only the ideal of enterprise fullness, is the most profit ...

Author: Andrew Nusca,robert hackett,shalene Gupta Translator: Pak From: Wealth Chinese network large data not only to deal with a lot of numbers, but also to build models through these numbers, dig deeper, and look for those who are likely to change the way the business operation of information. I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social ...

Data is not just about dealing with a lot of numbers, it's going to have to build models, dig deeper, and look for information that might change the way companies operate. 　　I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social network, with data scientists Andrea Berbink primarily responsible for the company's A/b test to assess how the company's Web site, app's appearance or function changes will affect its 60 million of global users. If P ...

Author: Andrew Nusca,robert hackett,shalene Gupta Translator: Pak From: Wealth Chinese network large data not only to deal with a lot of numbers, but also to build models through these numbers, dig deeper, and look for those who are likely to change the way the business operation of information. I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social ...

Personal Summary: Hadoop:hadoop is a software framework capable of distributed processing of large amounts of data, which is a technical implementation of large data: data: We've all heard this prediction: by 2020, the amount of electronic data storage will increase by 44 times times to 35 trillion GB in 2009. According to IDC data, as of 2010, this number has reached 1.2 million PB, or 1.2ZB. If you put all this data into a DVD disc, the height of the disc will be the same as from Earth to the moon ...

Today's world is a large data age of the information world, our life, whether life, work, learning are inseparable from the support of information systems. The database is the place behind the information system for saving and processing the final result. 　　Therefore, the database system becomes particularly important, which means that if the database is facing problems, it means that the entire application system will also face challenges, resulting in serious losses and consequences. Now the word "Big Data age" has become very popular, although it is unclear how the concept landed. But what is certain is that as the internet of things 、...

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...