Data Repositories Definition

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

The purpose of data warehouse is to build an integrated data environment oriented to analysis, and to provide decision support for enterprises (Decision-support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data, data Warehouse, data application: From the graph can be seen data warehouse data from ...

If only a large amount of structured data, then the solution is relatively simple, users to buy more storage equipment, improve the efficiency of storage devices and other solutions to such problems. 　　However, when people find that the data in the database can be divided into three types: structural data, unstructured data and semi-structured data and other complex situations, the problem seems to be less simple. Big Data hits when the type of complex data hits, then the impact on the user IT system will be another way to deal with. Many industry experts and third party investigation agencies through a ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

All along, data analysis has played an important role in harnessing the benefits of electronic storage of information. Some organizations use data analysis solutions to provide insights into increasing revenue, increasing market share, reducing costs, and achieving scientific breakthroughs. Today, as business processes become more automated, the map of data analysis is expanding. Previously stored in separate online and offline repositories, information in various formats can now be stored in digital format, ready for consolidation and analysis. As a result, executives are increasingly demanding data and expect faster, more efficient solutions. Organizations also pay more attention to data ...

Powerful http://www.aliyun.com/zixun/aggregation/14294.html "> 's Big Data Governance plan eliminates the guesswork of finding and using the right information to make business decisions. Many organizations are working to achieve information governance to oversee critical data on their data, raw materials, suppliers, and finances. For the same reason, companies are starting to implement big data programs, using open source technologies such as Apache Hadoop, through sensors, R ...

Recently, the topic of large data by many European and American CIO, about the enterprise internal management and information work, more and more people began to pay attention to it. When CIOs propose to use large data architectures to release increasingly saturated IT resources, media people are asking: what do you really understand about the concept of big data? Cio.com recently wrote that enterprises in the deployment of large data and cloud security http://www.aliyun.com/zixun/aggregation/6608.html "> Intelligent Platform (LSIP) ...

Editor's note: This article is reproduced from "bit Net", the original author is Xu. Recently, the topic of large data by many European and American CIO, about the enterprise internal management and information work, more and more people began to pay attention to it. When CIOs propose to use large data architectures to release increasingly saturated IT resources, media people are asking: what do you really understand about the concept of big data? Cio.com recently wrote that enterprises in the deployment of large data and cloud security http://www.aliyun.com/zixun/aggregation/6608.htm ...

EMC today announced a major upgrade to the Emcisilon Onefs, and unveiled a new Isilon platform and solution to strengthen the industry's first enterprise-level scale-out data lake. New products and features, including uninterrupted support for HDFs, will help customers significantly improve their ability to capture, store, protect, and manage large amounts of unstructured data. Using HDFS,EMC in the data lake allows customers to use Hadoop in a huge amount of data rather than using Hadoop in huge amounts of data, thus avoiding the move number ...