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Oracle delivers unique big data security solutions that adhere to the legacy systems for data processing and management. Most security and privacy methods have been designed for batch or online transaction processing systems. Holey Hadoop, Batman! Big data security is still a major concern as Big data drives the modern enterprise, but traditional IT security isnt flexible or scalable enough to protect big data. In fact, the security situation may be getting worse thanks to the adoption of distributed big data platforms, like Hadoop. This is because a big data security breach will potentially affect a much larger number of people, with reputational consequences and enormous legal repercussions. Cloud computing security and Big Data security are important topics; HDFS security has also become a research hotspot. Cloud Security Alliance Big Data Working Group 2. Big Data security: Be safe, not sorry These Big Data security practices will never go out of vogue, and it is in your companys best interests to implement them as soon as possible to keep all the information safe and secure. As big data becomes the new oil for the digital8 economy, realizing the benets that big data can bring requires considering many different security and9 privacy issues. The reason for such breaches may also be that security applications that are designed to store certain amounts of data cannot the big volumes of data that the aforementioned datasets have. We asked three experts about the potential vulnerabilities of big data. Using best practices for big data architecture and gaining expertise over time, enterprises can be sure to When producing information for big data, organizations have to ensure they have the right balance between utility of the data and privacy. Applications, particularly third-party applications of unknown pedigree, can easily introduce risks into enterprise networks when their security measures arent up to the same standards as established enterprise protocols and data governance policies . The study aims at identifying the key security challenges that the companies are facing when implementing Big Data solutions, from infrastructures to analytics applications, and how those are mitigated. 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