To Store Data

Using cloud-based services such as Dropbox, Google Drive, Evernote, Google albums, and so on, sometimes comes to the question that while these storage services can help us sync files to a variety of devices, it's just a cloud drive. It seems that we can set up ourselves, and only the storage of words seems to have a lot of alternatives. However, if you use the above services in depth, you will find that the future of cloud services is not just a storage service, "Cloud hard Drive", "Storage Space", "the same ..."

Cloud computing times users will certainly be very concerned about the security of their own data stored in the cloud, and for enterprises, the enterprise data storage in the cloud it also makes the company in any cloud decision making decisions to be cautious, because once a large number of cloud data is attacked and destroyed, 　　It may be a devastating disaster for businesses. Often business data is stored in more secure data centers, and companies invest heavily to secure data centers. However, there are many blind spots in the data center that are being used by external forces, according to the survey, at least 6.

Cloud storage is an effective choice for a range of storage requirements. 　　Understanding the key features of various cloud storage systems helps identify the right use cases and avoids potential and costly errors. We use the term "cloud storage" as if there is a single data storage service. There are actually many types of cloud storage systems. These systems can be categorized by identifying the characteristics of the appropriate use cases. For example, you don't want to run an inventory management system using a filing system that takes hours to respond to a read request. Similarly, there is no reason to save for low latency SSD if disk-based storage is effective ...

As we all know, the big data wave is gradually sweeping all corners of the globe. And Hadoop is the source of the Storm's power. There's been a lot of talk about Hadoop, and the interest in using Hadoop to handle large datasets seems to be growing. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to fancy the potential of Hadoop, which has become the standard for distributed data processing in large data areas. By integrating Hadoop technology, Microso ...

As search engines have to deal with massive amounts of data, Google's two founders Larry Page and Sergey Brin design a file system called "Bigfiles" at the beginning of the venture, while GFS (the "Google File System") 　　This distributed file system is a continuation of "Bigfiles". Technology Overview First, introduce its architecture, GFS is divided into two types of nodes: one is the master node, which mainly stores data files related to metadata, and ...

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 ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can run on large clusters.

Amazon's chief technology officer, Vonna Vogle, has opened a topic about using cloud computing to complete big data, what do you want him to do? This view is compelling, including the need for large data analysis, especially for real-time analysis. Companies want to have that ability, for Vogel, which means they need the public cloud--especially the Amazon's public cloud. Vogel also said that we all hope that infrastructure like Hadoop will be able to hide behind an analysis layer like the Amazon redshift. Vogel right now.

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

According to Reuters, Cisco announced in Monday that it will invest 1 billion dollars in expanding cloud services over the next two years, linking its cloud computing network Intercloud Hundreds of data centers, cloud service providers and more than 30 partners. Cisco says Intercloud will help companies deal with and manage data from billions of devices and applications from around the world. Cisco Intercloud Partners include Deutsche Telekom, BT, Equinix Inc., which will also add 250 data centers from 50 countries to the network in the future. Inter ...

In the IT industry, many vendors are constantly introducing innovative managed solutions. Some manufacturers attract your attention through the marketing language, and some manufacturers use new ways to solve old problems. 　　But as a responsible IT staff, you really need to pay attention to some vendors, because the solutions of these vendors will simplify the current process, greatly reduce total cost of ownership (TCO), provide better it performance, while keeping you in control of the system. Does it sound too good to be true? Major vendors in this area have launched cloud-based storage solutions ...

Mass distributed storage technology to ensure high availability, high reliability and economy, cloud computing uses distributed storage to store data and redundant storage to ensure the reliability of storage data, and a highly reliable software to Ibuyingjian, and thus provide low-cost and reliable systems. 　　In order to meet the needs of a large number of users, data storage technology must be characterized by high throughput and high transmission rate. The cloud's data storage System is open source for Google GFS (Google File system) and the Hadoop development team ...

As early as the spring of 2009, it was not too difficult to talk about the hidden costs of cloud storage, since cloud storage service providers did not help customers determine the true cost of using the technology.       But then, as cloud storage services offer a variety of prices and different features, cloud storage service providers are now starting to provide customers with tools to estimate monthly costs. ...

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

"The role of data storage is changing, one of the factors is that data is becoming more and more complex, and for a data storage system designed 5-10 years ago, it must be able to handle the diversity of resources," said Donald Feinberg, the analyst's Vice president Complexity, large capacity, and system response speed to real-time and other characteristics. And he argues that while big data has different meanings for different industries, basically large data represents large, complex, unstructured data. However, for good at dealing with knots ...

Now everyone is talking about the cloud, and manufacturers are labeling their products and services with cloud computing. 　　This is also the scene of the operating system, where the cloud operating system is simply a simplified operating system that simply runs a Web browser-at least a definition of a cloud operating system that allows users to perform many simple tasks without having to start a full version of the operating system. In a cloud computing environment, applications and data "reside and run" on the internet, rather than "reside and run" on the hard disk. This service is also known as platform as a service (PaaS), and Software as a service (...).

A world-wide cloud "revolution" has brought countless new businesses. More and more Chinese cities and enterprises are desperately squeezing into the cloud computing industry feast. How to leap in the industrial revolution, rather than the fog of the fun, is the real test. "Yun" Chung Beijing is Xiangyun, Shanghai is a sea of clouds, Shenzhen is Kun Cloud, Chongqing is cloud, Hangzhou is the cloud supermarket, Ningbo is the nebula, Wuxi is the Cloud Valley, Suzhou is called Choi Wan, Harbin is called Cloud flying, Guangzhou days cloud, Huizhou Huiyun, Qinhuangdao called several valleys. "Cloud" is becoming a foggy feast in China. Whether or not ...

KPMG has recently held a global meeting with Oracle (Oracle) to http://www.aliyun.com/zixun/aggregation/13638.html "> The development of cloud computing trends in the understanding of the delegates were surveyed. 　　A total of 336 people participated in the survey, and in general, the findings clearly show that the business needs of enterprises drive investment decisions in terms of updating and upgrading Enterprise resource planning (ERP). KPMG National Consultation Leather ...

Big data is a hot topic. Computerworld quotes IDC's research report as saying global big data will increase 50 times times over the next decade. In 2011 alone, they say, we'll see 1.8ZB (1.8 trillion GB) of large data creation. This is equivalent to every American writing 3 tweets a minute, and still writing for 26,976 years. Over the next decade, the number of servers managing the Data warehouse will increase by 10 times times to cater for 50 times times larger data growth. The report adds that IT managers will probably fret about finding enough to own ...