Recently, China Cyber Security Industry Panorama (11th Edition) by Aqniu deeply analyzed the latest in the domestic cybersecurity field, covering 16 first-level and 108 second-level classifications. It’s an essential guide for industry decisions, business breakthroughs, and market understanding. Among these content, besides the basic DR field, Information2 was selected in data security – big data protection with i2HDFS. So, what is big data protection and how does Information2 do it?
With the digital economy wave, data is a key production factor like petroleum, needing collection and processing for wide use. This led to the popularity of open-source big data platforms like Hadoop. In the Chinese market, after years of growth, big data platform products are more common in finance, government, and operators. The integration of AI/ML and big data platforms is a trend, highlighting their importance. IDC predicts that China’s data volume will exceed 76.6ZB in 2027, with enterprise data rising. Big data security is urgent, as big data platforms operation becomes a challenge for many.
Several Misunderstandings in Big Data Disaster Recovery
Big data platforms are key for enterprises and society, carrying vital data for business decisions and development. Ensuring their safe and stable operation is crucial. Despite frequent security incidents, enterprises have misunderstandings toward big data platform protection. For instance, some don’t think separate backup/restore tools are needed at the PB level. Others consider backing up unstructured data impractical. Some believe lost data can be easily reconstructed. These stem from past thinking. Now, data scale, types, and processing needs are changing. The rise of large language models and AIGC brings complex data processing demands. Big data collects and generates new data with diverse and uncertain characteristics, making collection hard. It’s time-consuming and challenging, and data loss or interruption can have serious consequences. To deal with this, enterprises need disaster recovery systems for data security and business continuity to gain competitiveness.
i2HDFS Escorts Big Data Security
As a leading disaster recovery manufacturer, Information2 fills the domestic gap in big data platform DR and launches the i2HDFS real-time synchronization product. i2HDFS captures and synchronizes real-time transaction data of big data platforms across clusters. It solves data migration, verification, backup, recovery, and disaster recovery problems for enterprises, ensuring continuous business and no data loss.
Disaster Recovery Practice of Big Data Platform of a Large City Commercial Bank
A large city commercial bank’s big data analysis service platform has been online for years, handling key data. With the platform’s rising importance and frequent downtime, disaster recovery compliance is stricter. The bank’s data has grown, causing issues like small file increase and high cold data proportion. If not fixed, it’ll affect digital scenarios. The bank needs disaster recovery for data synchronization and separation to ensure analysis efficiency, data security, and business stability.
With Information2 i2HDFS, data is synchronized in real-time for disaster recovery, and the backup provides read-only access. This separates reading and writing, boosts analysis, and reduces storage costs.
IDC’s latest data shows that in nearly 80% of enterprises, the integration of AI/ML and data processing platforms is less than 50%. Future upgrades await data infrastructure software like big data platforms. Disaster recovery is an important part in enterprise IT. With the application of Information2 i2HDFS in finance, manufacturing, and healthcare, it will protect more users’ big data platforms.
