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2025-02-23 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Network Security >
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Daniel CF Ng, senior marketing director for CommVault Asia Pacific, was eating at a roast duck restaurant in Beijing when he saw customers taking pictures of exquisite dishes. People are creating data anytime, anywhere. Enterprise CIO hopes to achieve the most in-depth and effective data value mining at the minimum cost. This is the support of CommVault to realize intelligent data management and analysis.
Entering the era of big data, the biggest challenge facing data protection and management is how to mine commercial value from massive data. Under this premise, data protection and management will become more intelligent and automated.
CommVault recently commissioned IDC to conduct a survey of corporate IT executives in several Asia-Pacific countries, including China, and issued a white paper on "promoting Smart data Management." The three sets of data in the white paper reveal the core and new trends of current data management: 72% of respondents regard the exponential growth and complexity of data as the biggest challenge of data management; enterprises are currently able to capture 84% of the transaction data. Only 73% of the data has been further analyzed. Thirty-eight percent of respondents prefer an end-to-end solution that protects, manages, and accesses all data through a single platform.
Integrated protection is what users need.
Integrated data protection and management is a clich é. The foundation of CommVault data management products is integration. Today, mainstream data protection manufacturers have adopted the concept of integrated data protection. EMC reorganized its data protection business earlier this year, defining the principles for providing an integrated data protection solution. HDS also began to promote its HDIM data protection solution this year. HDS is proud of the concept of integration embodied by HDIM. A software has a variety of functions, such as backup and recovery, snapshot, archiving, disaster recovery and management.
The latest version of the CommVault integrated data management platform is Simpana 10. It can uniformly protect, search, copy, report, and archive data in a data center local, cloud, or hybrid environment, allowing enterprises to view, manage, and use all types of data in a single console. Simpana 10 is an integrated data acquisition and common infrastructure platform that creates an index of files on the first backup, allowing users to search and recover data in the same repository.
According to the IDC survey, more than 48 per cent of Chinese corporate users believe that a solution that allows them to protect, manage and access all data through an integrated platform can better prevent data loss, improve the efficiency and reliability of disaster recovery, while improving storage and network optimization and cost savings. Fudian Bank, Haidilao Hot Pot, Peking University and other Chinese users have adopted Simpana to achieve integrated data protection and management.
Don Foster, product management director of CommVault Company, said: "the traditional data protection and management are driven by data protection, and users focus on backup, recovery, archiving and other specific functions. At present, data protection and management are content-driven, and there is a close relationship between various types of data. In the past, backup, archiving and other independent and unrelated ways can no longer meet the needs of today's users. What users need is an integrated intelligent management tool. "
People's habit of saving data is open to all, whether it is critical business data or ordinary data, generally will not be deleted in time, but all stored, but will not be classified storage. This "safe" storage method mentioned above is not conducive to the protection and management of data. IDC's survey shows that 80% of users want to obtain and analyze data in the right way at the right time.
The intelligent management functions of Simpana 10 are mainly reflected in the following aspects: after collecting the data once, Simpana 10 will automatically classify, backup and archive the data according to the needs of users; Simpana 10 combs the data through the analysis of metadata, and implements disk backup and tape archiving according to the optimization principle, so as to reduce the cost of data management. The intelligent management capabilities of Simpana 10 can help enterprises save 30% of their management expenses each year.
Data management based on content awareness
Enterprises mainly face the following problems in data management: the problem of data isolated island is prominent. An enterprise usually has 3 to 5 different platforms, and the data on different platforms can not be managed centrally at all. As a result, it is very difficult for business leaders to obtain a complete data report; enterprises face severe challenges in terms of compliance, and it is very difficult to find data from a few years ago in the disorganized mass of data. Cai Baoyong, technical director of CommVault China, told reporters: "many Chinese enterprises put data management in a very important position. In the past, Chinese users usually used a lot of manpower in data management, and even worked overtime for data recovery. Now, more and more users want to change the traditional management model and adopt a single platform for unified management of all data."
The data types owned by FAW-Volkswagen, an automobile manufacturer, are very complex. In the past, they deployed storage and data protection systems for structured data and unstructured data respectively, which not only invested a lot of money, but also caused trouble for managers to grasp the dynamics of all the data in a timely and comprehensive manner. Later, FAW-Volkswagen used the Simpana platform to transform the data management system, which used to require multiple sets of software and hardware, but now as long as a set of Simpana, the whole process of data management is automated without manual participation, which greatly improves the management efficiency and saves costs.
As the original data management system could not meet the requirements in scalability, Metersbonwe, a clothing retailer, switched to the Simpana platform, carried out hierarchical management of the data throughout the life cycle, migrated the old data to secondary or even tertiary storage devices in time, and conducted a full-text index of the data to ensure that the required documents were found within one minute. " The above case shows that in the era of big data, enterprises must manage data in an intelligent way. " "We can provide content-aware data management tools to help customers improve data management efficiency," Cai said. "
"We effectively manage all data using metadata. The management tool is an integrated management platform, Simpana." "the first step in data management is the perception of content," Cai said. For example, we need to understand the source of the data, what stage the data is in the life cycle, where the data is stored, and what is the most reasonable way to access the data. Next, we also need to achieve unified data management through application awareness, computing awareness, storage awareness. "
Don Foster added: "We maintain a good cooperative relationship with database vendors and application software vendors such as Oracle. Applications and data can be better perceived through the API,Simpana of applications." Statistics show that five years ago, the critical business data that needed to be recovered within two hours in the data center accounted for only 5% / 10% of the total data volume in the data center, but now the proportion has increased to 30% / 50%. This means that customers can no longer use traditional critical business recovery systems to support the rapid growth of critical data, and data protection solutions that do not have content-aware capabilities are gradually losing their appeal. The biggest change that Simpana brings to data management is that it uses a set of system to span the storage platforms of different manufacturers, establishes a new management standard and process, and is easy to operate.
IDC's survey shows that in addition to transaction data, text and log files from communication systems, audio and video, GPS data from mobile devices and chat data on social networks are also growing rapidly. It is also an urgent need for users to store and share the internal data and cloud data uniformly. In addition to data management within the data center, Simpana ContentStore can also achieve cross-platform and cross-device data management. Through ContentStore, users can synchronize files inside and outside the firewall of the data center between multiple devices, while supporting different brands of devices to work together. "in big data's era, we can achieve unified supervision of all data and access data anytime, anywhere through any device." "Simpana has changed the traditional model of data management," Cai said.
From data Management to data Analysis
"data management companies will eventually enter the field of data analysis, and CommVault is no exception," said Daniel CF Ng, senior marketing director for CommVault Asia Pacific. "many partners provide data analysis solutions on our data management platform. We can wait and see when we will launch data analysis solutions."
In the past, the core of both data storage and data protection was how to save the data safely. However, the arrival of big data era will subvert the foundation of traditional data protection and change data as the core to value as the core. How to better mine the commercial value of data will become a new research topic. It is a natural development process from data management to data analysis. CommVault has insight into the business opportunities.
Traditionally, users do not pay much attention to data protection. Don Foster told reporters that 50% of enterprises still do not take effective measures to protect their data. As EMC, HDS and other storage hardware manufacturers begin to increase their investment in data protection, it is believed that data protection and management will become the focus of enterprises in the future. "as a software manufacturer, we hope to help customers reduce the purchase of hardware and gradually achieve modern data management." Daniel CF Ng believes that the data management market has great potential.
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