Securing Big Data Streams

Learners can explore security risks related to modern data capture data centers and processing methods such as streaming analytics in this 13-video course. As the value of a company’s data increases the same data have become more and more valuable to hackers and other criminals. You will learn up-to-date techniques and tools employed to mitigate security risks and best practices related to securing big data including cloud data trust and encryption. Begin with an overview of common security concerns for big data and streaming data as well as concerns related to NoSQL (non-structured query language) distributed processing frameworks and flaws related to data mining and analytics. Then explore how to secure big data; explore streaming data and data in motion; and see how end-point devices are secured by using validation and filtering as well as how to use encryption to secure data at rest. In the concluding exercise practice what you have learned by describing key big data security concerns key streaming data security concerns and how end-point devices are secured.