The Data Age of 'New Applications, New Data, New Resilience'

Posted ime:2023-05-25 15:21:56  read:times

The 2023 Innovative data infrastructure Forum was held in Munich, Germany. With the theme of "new applications, new data and new resilience", this forum will discuss the construction of data infrastructure in the era of YB data with industry experts, partners and other guests from around the world. At the meeting, the evolution directions of the data storage industry, such as embracing the emerging application ecology, efficiently processing massive unstructured data, and comprehensively improving data resilience, were comprehensively elaborated to help enterprises release data value.


With the deepening of Digital transformation, the data storage industry is ushering in tremendous changes and development opportunities.


Firstly, data applications are changing rapidly, with 56% of enterprises deploying AI applications, and 96% planning to build cloud native applications. Secondly, the data has exploded. 80% of the new data is unstructured data, with a compound annual growth rate of 38%. Finally, the challenge of data resilience is becoming increasingly severe, with ransomware variants rapidly increasing by 98% year-on-year, and 14.1% of enterprises experiencing ransomware attacks cannot recover their data.


The emerging big data and AI applications have put forward higher requirements for diversified data parallel processing, and the division of labor and cooperation models between data storage and data applications are being reconstructed. A new era of data paradigms is coming. Cloud native applications will increasingly be introduced into enterprise data centers, making high-performance and highly reliable container storage necessary.


Unstructured data is entering the enterprise production decision-making system. Real time access makes data hot, and the read/write bandwidth and IO access efficiency of distributed storage need to be improved by an order of magnitude. At the same time, distributed storage needs systematic innovation in software, algorithm and hardware to meet the requirements of massive unstructured data for extreme cost-effectiveness. In addition, the growth of data scale brings serious data gravity issues, requiring the construction of intelligent data weaving capabilities to achieve global unified data views and scheduling across systems, regions, and clouds.


Data security threats are changing from natural disasters and physical damage to blackmail software and other attacks. Enterprises need to move from passive response to Active Defense to improve data resilience. The increase of zero-day and the huge losses caused by the irrecoverable data make the enterprise data security system composed of network, application and host security insufficient to meet the latest data resilience requirements of enterprises. Data storage is becoming the last line of defense for safeguarding data security, and more data resilience capabilities will be embedded in data storage products, such as ransomware detection, data encryption, secure snapshots, and AirGap isolation zone recovery features.


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