Storage management and cloud computing for large data

Large data is not a specific type of data. Each type of http://www.aliyun.com/zixun/aggregation/13739.html "> unstructured data can be treated as large data. This includes data on social networking sites, online financial transaction data, company records, meteorological monitoring data, satellite data, and other monitoring, research, and development data. The volume of large data is huge and unstructured.

IDC defines large data technologies as: Large data technologies describe a new generation of technology and architecture that extract the economic value of a wide variety of data through high-speed acquisition, discovery, and analysis. Here are some tips to help your organization effectively manage your data storage needs:

Managing large data storage through isolation

If you have multiple enclosures in your enterprise, it is a good idea to apply database, line transaction processing (OLTP), and Microsoft Exchange to specific storage systems. Other storage systems are used for large data applications, such as portals, online streaming applications, and so on.

If your enterprise cannot afford a separate storage system, place specific front-end storage ports into databases, OLTP, and so on, and commit large data applications to other ports. The rationale behind this is the use of dedicated ports, where large data traffic is measured in kilobytes or megabytes, and OLTP application traffic is measured in input/output operations (IOPS) per second because the block size is larger than the large data and is smaller than the OLTP application. OLTP applications are CPU-intensive, while large data applications use more front-end ports. As a result, more ports can focus on large data applications.

Professional Large data storage management

Today, many companies offer a storage system that is compatible with data management. You should evaluate these companies when looking for your large data storage management solution. A clustered storage system such as Emcisilon is a better choice for large data storage management because large data can grow to multibyte data in a single filesystem.

Large data analysis

In addition to storage, another big challenge for large data management is data analysis. The General Data analysis application does not handle large data well, after all, it involves a lot of data.

Currently, companies such as Emcgreenplum are using tools that specialize in management and analysis of large data. These applications run on a clustered storage system to ease the management of large data. It is recommended that applications be selected to work together in a clustered storage system and to analyze data quickly and efficiently. Fast indexing ensures that the metadata resides on a solid-state hard drive (SSD), if the storage box gives you such a choice.

Another important consideration for managing large data is future data growth. Your large data storage management system should be scalable enough to meet future storage requirements.

Storage management and cloud computing for large data

Many companies are looking for cloud computing services to store and manage massive amounts of data. The choice of cloud services to large data storage management can ensure that the ownership of the data is still yours.

You should have the option to move your data into or out of the Izumo service without being locked by the vendor. Other important considerations are the supplier's data security guidelines.