collection is not comprehensive, data storage is not standardized, data interaction is not timely, and the value of data is difficult to dig. Data problems are currently faced by small and medium-sized enterprises. In the Internet era, data is growing exponentially. If enterprises hope that data can be utilized to the greatest extent, For business value, or to guide the future development direction of the company, rapid data interaction, secure storage, and comprehensive collection are essential. For many small and medium-sized enterprises with an insufficient budget for informatization, it is the easiest way to deploy software that meets the needs of enterprise informatization construction. With the help of the mature process and simple operation of the transfer software, the process of data collection, cleaning, integration, and analysis is realized. The current , such as Raysync. The transfer speed is hundreds of times faster than FTP and HTTP. Run full bandwidth to improve file transfer efficiency; based on SSL encrypted transfer protocol, financial-grade AES-256 encrypted transfer technology to ensure data security; meticulous authority control mechanism, allowing appropriate permissions to be used by appropriate people; support third-party cloud storage platforms, Data storage safety is guaranteed. The use of these products is to take advantage of its cloud storage space and file transfer technical strength, and the enterprise itself does not need to build a computer room and set up specialized technical personnel to maintain it.
Enterprises analyze the data collected in the development process and then put into work to promote decision-making, improve efficiency, and plan the company's development direction. This means that enterprises must collect data, turn it into valuable information, and store it in a safe but still accessible location. Unfortunately, many enterprises didn't plan and manage the data in the early stage, but now they see that the data is growing and changing every day, but they are helpless. According to IDC data, enterprises are managing a large amount of data that is growing at an annual rate of 40%. Companies are not only processing more data, but the types of data are expanding. The data stream contains many unstructured data such as inventory figures, financial information, product promotional videos, promotional pictures, and so on. All these different data types need to be centralized, organized, and accessible, and usable by businesses. So, what is enterprise data management? (EDM) describes the ability of an organization to integrate, manage, protect, and distribute data from multiple data streams. This includes the ability to transmit data accurately and securely between partners and subsidiaries. Effective EDM is not easy, it can only be achieved by fully understanding your data and implementing an intelligent EDM strategy. Enterprise data management involves many parts, including: Data Governance – Data governance refers to policies and processes to ensure data integrity, quality, and security. It is a close relative of and covers guidelines on policy implementation, overall responsibility, and governance authority. In short, data governance establishes an organization's data laws and how, when, and by whom to enforce them. Data Integration – Enterprise data integration means moving and integrating all kinds of enterprise data into an accessible location. This is a key component that enables companies to access and use all the different data forms. Data Security – Security is an integral part of any data-related strategy. Data security usually refers to the measures taken to ensure that data are protected at all stages of its life cycle, including data at rest and data in transit. This protection involves not only anti-theft and anti-leakage measures but also the work of maintaining data integrity and preventing damage or destruction. All these factors need to be considered, and now we can draw up an enterprise data management strategy: Perform Assessment – Enterprises need to have a clear understanding of their data flows and the types of data they have in order to develop effective data management strategies. This work may be time-consuming, but it is a valuable and important process, which can help to ensure that the management methods adopted are completely matched with the data. Defining Deliverables – Data management may be a vague term. It is important for companies to outline what they hope to accomplish by implementing enterprise data management. What is the ultimate goal? How to measure success? The demand for data is sometimes overwhelmed, and some data items may be very large. In this case, the phased method of step-by-step delivery can work well. Identify Standards, Policies, and Procedures – Standards, policies, and procedures are invaluable guides to keep data where it is needed and help prevent data corruption, security breaches, and data loss. Investing in the Right People and Technology – Knowing the skills of managing data is not everyone's strong point. It is better to have in-house or consulting experts who have experience in building enterprise data management system. Their knowledge reserve can help enterprises manage data better. Similarly, it is necessary to deploy a set of excellent management software (Raysync) for enterprises, which can help enterprises to transmit stored data efficiently, safely, and stably.
has superb file transfer capabilities and has served 20,000+ companies. The areas involved include government agencies, advertising media, the automobile industry, film and television production, etc. Many companies use Raysync for file transfer every day. Maybe you didn’t use Raysync directly, but maybe a movie that is currently being screened uses Raysync for of video footage; maybe a medical institution is using Raysync to manage the past cases of patients...maybe each of us or More or less established contact with Raysync. The current network transfer adopts the TCP transfer protocol, which is very stable and reliable. During the transfer, the integrity of the file is the primary consideration of the TCP . Therefore, when the delay and packet loss occurs at the same time, it will choose to reduce Speed ensures quality. With the expansion of enterprises, the demand for transnational file transfer has soared. The longer the transfer distance, the greater the probability of delay and packet loss. Therefore, when TCP is used to transmit files transnationally, the transfer speed will decrease. In response to the bottleneck of the slow transfer speed of the TCP transfer protocol, Raysync developed its independent transfer protocol. It can also increase the packet transfer rate in the case of high delay and high packet loss. It can also control network congestion, improve transfer efficiency, and ensure that data is stable and reliable... Raysync provides enterprises with one-stop , including GB/TB/PB level large file transmission, transnational file transmission, massive small file transmission, etc. Besides, Raysync also has these features: Intelligent two-way synchronization of files; Multi-client concurrent transfer; P2P accelerated file transfer; Database disaster recovery backup; Object storage solutions; One-to-many, many-to-many heterogeneous data transfer. Since its inception, Raysync has undergone many iterations and improvements. With its excellent file transfer performance, it has become an indispensable helper for enterprises' digital transformation!
With the vigorous development of new technologies such as cloud computing, big data, the Internet of Things, and artificial intelligence, large-scale new applications have facilitated my life. But at the same time, hackers, who are tempted by the interests of black products, also turn their eyes to this place, and they have targeted attacks, again and again, thus directly plundering enterprise data resources and important customers. Here are our 5 tips for improving your data security: 1. Troubleshoot computer network system vulnerabilities The computer network system is composed of computer hardware, software, and client network system configuration. The first step of enterprise self-examination is to carry out daily maintenance of its own hardware equipment; Secondly, it is also the key point to check the compliance and security of software systems, clean up the non-compliant and unsafe third-party applications used by employees in time, update the conventional systems, and investigate loopholes; The other is to configure the client's network system safely. 2. Is the data using standardized The second point of self-examination of enterprise data security is to standardize the management of enterprise data use. Enterprises have a clear positioning of safety standards, and the practicality of specific data usage specifications is usually reflected in employees' daily work. Especially in file transmission, the transmission process is the hardest hit by network attacks, and the control of data flow is also very important. Just as many Internet companies are doing, it is necessary to manage the access, editing, and downloading rights of sensitive data, which plays a protective role in data security to a certain extent. 3. Investigate employees' safety awareness At present, nearly half of cyber-attacks are caused by the lack of security awareness of enterprise employees, which directly or indirectly leads to data leakage. The employees' awareness of the importance of data and network attack methods is directly related to their sensitivity to the possible security threats and potential attacks of current data. Many enterprises tend to ignore the safety control of employees. Do your employees really know what might be a cyber attack? Data security training is a good way for employees' safety awareness. Establish a culture so that employees can quickly perceive potential threats and report suspicious cases in time. The above self-inspection method is based on three key factors of data security, and the next two points we want to mention are the self-inspection method of security control of dynamic data. 1. Data flow direction " creates value for enterprises" is the service concept of Raysync. On the contrary, this sentence is essentially the normal state of enterprise business transfer. Every day, a small and medium-sized enterprise produces no less than 10GB of data, and where this data flow is actually a security blind spot for many enterprises. At present, there are more and more ways of online data interaction, and various ways of data interaction facilitate people's work, but also greatly increase the difficulty for enterprises to supervise data security. To solve this problem, let's take a look at how the enterprise-level file transfer expert Raysync deals with it. - Transmission management and control: add transmission strategy, transmission reality, and transmission log design, and the administrator can take a glance at the transmission of sub-accounts; - Supervision of document outgoing: all documents outgoing are under management supervision. In the face of sensitive data leakage, the administrator can directly interrupt the sharing of relevant documents; 2. Grade authority Dividing data grades and employee categories is the key to building an enterprise data safety net. Hackers and system vulnerabilities are the main reasons for data leakage incidents. Some conscious and unconscious operation behaviors of employees in their daily work are easily manipulated or misled by cybercriminals, and the data level they come into contact with is the height of enterprise information assets that criminals can reach. Grant local administrative authority only when necessary, assuming that the network attack against the enterprise is successful (for example, through harpoon attack), and the infected computer cannot easily spread malicious software to other devices in the network, which plays an important role in curbing the attack scope. In view of this, many applications can do it at present. For example, several functional designs of data authority such as identity authorization, user grouping, and security encryption in Raysync run through the whole process of data security transmission, which is a good way to protect enterprise data security. Data flow transfers data to create greater value. Today, with the rapid development of science and technology, the process of data interaction is both an opportunity and a challenge for Internet enterprises, as well as hackers.
In this era of big data, it is common for individuals or enterprise groups to violate their private information or confidential documents and even make profits. Especially in recent years, with the development of new-generation information technologies such as cloud computing, big data, and mobile internet, the types and quantities of data are becoming larger and larger, and the data compliance requirements in China are becoming stricter. With the promotion of the Network Security Law, the compliance of data local storage and cross-border transmission has become the focus of attention. The awareness of data security of individuals and enterprises is constantly increasing, and the and transmission technology are also developing towards standardization, standardization, and compliance. With reference to the requirements of relevant laws and regulations, relevant product technical standards are formulated, and data security technology products meeting the corresponding technical standards are applied. In the future, data transmission compliance will become a major trend in the future big data industry. Raysync fully responds to the call of national data transmission compliance, and improves the security of file transmission from the aspects of Web security office design, account & password protection security design, transmission security design, software installation & operation security design, behavior audit, encryption certificate life cycle management, etc., providing users with a high-speed, safe and convenient platform! WEB security design: User-side Web Portal and management-side Web Portal support access IP address isolation and port isolation; The administrator can disable the user plane Web Portal or the management plane web portal as required. Support Http and Https, the administrator can disable Http and only provide Https service; The Web page of to login Raysync, the effective range of session is only valid for the current access page, completely eliminating CSRF cross-site attack; Before each version is released, Huawei Cloud Online Professional Web Vulnerability Scanning Service is used to scan vulnerabilities and repair the latest released vulnerabilities in time; Https TLS only opens the encryption algorithm suite that is recognized as safe in the industry. Account protection security design: Login authentication has a built-in anti-violence cracking mechanism, and the user enters the wrong password five times in a row within 3 minutes, and the account will be automatically locked; Session identification in login is generated by using the interface of OpenSSL high-strength random function RAND_bytes () to prevent random information from being hit by the simulator. Transmission security design: In the transmission process, Raysync is protected by Hash verification at the transmission message level, file block, and the whole file to ensure the integrity of the transmission content; TLS 1.3 is used for end-to-end encryption between the client and the Raysync server to prevent man-in-the-middle attacks on the network. Raysynconly needs to expose one port to the outside, which can meet all users' access and greatly reduce the risk of firewall port exposure. Raysync relies on a self-developed transmission protocol to help enterprises solve the problems of , massive small file transmission, and cross-border file transmission, without fear of the influence of transmission distance and network environment, and maintain a stable, efficient, and safe high-standard transmission level.
The amount of data transferred between global business networks is very large. The amount of data transferred in a given period of time is the rate, which specifies whether the network can be used for tasks that require complex data-intensive applications. Network congestion, delays, server operating conditions, and insufficient infrastructure can cause data transmission rates to be lower than standard levels, thereby affecting overall business performance. High-speed data transfer rates are essential for handling complex tasks such as online streaming and large file transfers. The Importance of Content Delivery Networks High-quality delivery of websites and applications to as many locations in the world as possible requires infrastructure and expertise to achieve delivery with low latency, high-performance reliability, and . Professional content delivery networks can bring a variety of benefits, including seamless and secure distribution of content to end-users, no matter where they are located. The content delivery network reduces the load of the enterprise's central server by using a complex node system strategically spread all over the world, thereby delivering content through more efficient use of network resources. Higher data rate conversion can improve user experience and increase reliability. By using intelligent routing, bottlenecks can be avoided (indicating that the amount of data flowing into the network resources is too large to be processed), and adaptive measures can be used to find the best and most successful path in the case of network congestion. Faster Data Transfer FTP and HTTP are common methods of the file transfer. For example, FTP can be used to or access online software archives. HTTP is a protocol used to indicate how to not only define and send messages. It also determines the actions of web browsers and servers in response to various commands. HTTP requests are identified as stateless protocols, which means that they do not have information about previous requests. ISPs provide a limited level of bandwidth for sending and receiving data, which may cause excessive slowdowns that the business cannot afford. Content delivery networks such as CDNetworks provide data transfer speeds up to 100 times faster than FTP and HTTP methods, whether it is transferring large amounts of media files or transferring multiple smaller files. Transfer Rate High data transfer rates are essential for any business. To determine the speed at which data is transferred from one network location to another network location, the transfer rate (bits per second (bps)) is used to measure the data. Bandwidth refers to the maximum amount of data that can be transmitted in a given time. One of the most promising innovations achieved by content network services is Tbps (bits per second), which was not imagined until the beginning of the decade Big Data According to industry researchers, the amount of data used each year has increased by as much as 40% year-on-year due to the increase in mobile use, social media, and various sensors. Companies in every industry need high-speed data transmission infrastructure more than ever to handle the ever-increasing volume of content from one point to another. Facing these data transmission needs, provides professional file transfer solutions in big data transmission, mainly for large file transfer, massive small file transfer, transnational file transfer, long-distance transfer, breaking through the limitations of traditional file transfer, and improving Bandwidth utilization. of Raysync Pro (3TB transfer volume) that worths $820. Product: Raysync Pro Target: Enterprise users Date: 10th September – 31st October Free Trial: Accounting from the date you get the License (3TB transfer volume for 100-day, and 4TB for 150-day) Special Bonus: You will enjoy 20% off for Raysync Pro during the period of the 100-day free trial. After the end of the free trial, you still have a chance to enjoy the 10% discount within one month. What are you waiting for? Come and try now!
Data is an advanced commodity, which makes it extremely important to manage data. Without proper tools and strategies, your data may not be as secure as you think. - Use the firewall to protect the company's network security. - Ask your employees to change their passwords every 90 days. - Ensure that the security settings of the company equipment are strengthened. - Implement an annual safety briefing, covering the importance of strong passwords and the importance of locking the keyboard when leaving the desk. The reality is that even if the above security measures are strictly followed, it is still far from enough. If we want to better protect data and establish a stronger security state for the organization, we need multi-layer defense, including regular security training for all employees and updating security policies. Your data may be destroyed by the following practices: 1. Adopt traditional FTP FTP is a common file transfer method. Because of its ease of use, accessibility, and low cost, it is usually the preferred protocol for enterprises or organizations. However, FTP transfer of files cannot guarantee the security of data. Using FTP, users transmit data in clear text through the network, and the exposure risk of data files is high, so anyone can easily access your data. 2. Outdated system and software Software and system updates are released because security vulnerabilities have been found in their code, Java or OpenSSL, and software patches are needed. It is necessary to update the system and software in time to keep your certificate up to date. 3. Opaque network information Monitoring is a key step in controlling the network. If you have multiple systems to manage, it is easier to clearly understand what is happening if you monitor all the data in one place. 4. Unmanaged internet access The explosive development of the Internet has penetrated through the door of enterprises. Apart from the safe working laptops approved by the company, there are also unsafe personal computers, mobile devices, and many other devices. They are connected to your network 24 hours a day, 7 days a week. This uninterrupted access makes it more important to isolate users' folders and their access to the network. Controlling user access will help you distinguish them from important data so that authorized personnel and devices can access it. 5. Failure to provide employees with easy-to-use and suitable tools As employees, there is only one ultimate goal, that is, to finish the work smoothly. Besides, they also want to contribute to the success of the enterprise. When they can't get the tools they need to achieve their goals, they will look for solutions. They download free consumer applications and transmit sensitive data to partners, suppliers, and other external parties through insecure paths. In the short term, it is effective for employees and their daily business objectives, but this approach makes enterprises face various data security vulnerabilities. A reliable ) is the best solution.
A large amount of is opening the era of data-driven solutions that will drive the development of communication networks. Current networks are usually designed based on static end-to-end design principles, and their complexity has increased dramatically in the past few decades, which hinders the effective and intelligent provision of big data. Big data networking and big data analysis in network applications both pose huge challenges to the industry and academic researchers. Small devices continuously generate data, which is processed, cached, analyzed, and finally stored in network storage (such as routers), edge servers, or the cloud. Through them, users can effectively and safely discover and obtain big data for various purposes. Intelligent network technology should be designed to effectively support the distribution, processing, and sharing of such big data. On the other hand, critical applications such as the Industrial Internet of Things, connected vehicles, network monitoring/security/management, etc. require fast mechanisms to analyze a large number of events in real-time, as well as offline analysis of a large amount of historical event data. These applications show strong demands to make network decisions (such as routing, caching, security, and slicing) intelligent and automated. In addition, the big data analysis techniques used to extract features and analyze large amounts of data places a heavy burden on the network, so smart and scalable methods must be conceived to make them practical. Some issues related to big data intelligent networking and network big data analysis. Potential topics include but are not limited to: 1. Big data network architecture 2. Machine learning, data mining, and big data analysis in the network 3. Information-centric big data networking 4. Software-defined networking and network function virtualization for big data 5. The edge of big data, blur, and mobile edge computing 6. Security, trust, and privacy of big data networks 7. 5G and future mobile networks realize big data sharing 8. Blockchain for big data network 9. Data center network for big data processing 10. Data analysis of networked big data 11. Distributed monitoring architecture for networked big data 12. Machine learning can be used for network anomaly detection and security 13. In-network computing for intelligent networking 14. Big data analysis network management 15. Distributed Artificial Intelligence Network 16. Efficient networking of distributed artificial intelligence 17. Big data analysis and network traffic visualization 18. Big data analysis, intelligent routing, and caching 19. Big data networks in healthcare, smart cities, industries, and other applications In the era of big data, Raysync provides ultra-fast, powerful, and to quickly respond to massive data transmission needs.
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