Securing Big Data Streams

Big Data    |    Beginner
  • 13 Videos | 1h 7m 49s
  • Includes Assessment
  • Earns a Badge
Likes 14 Likes 14
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.

WHAT YOU WILL LEARN

  • understand the main security concerns related to big data
    understand key security concerns related to streaming data
    understand key security concerns related to NoSQL databases
    understand key security risks associated with distributed processing frameworks
    understand key concerns and flaws related to data mining and analytics
    understand risks related to end-point devices such as devices on the Internet of Things
  • understand some of the key ways that big data security concerns are addressed
    understand how data streams are secured
    understand how to deploy a VPN using Azure to secure data in motion
    understand how end-point devices are secured using validation and filtering
    understand how to use encryption to secure data at rest
    recognize how big data and streaming data are secured

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 48s
    UP NEXT
  • Playable
    2. 
    Big Data Security Concerns
    6m 36s
  • Locked
    3. 
    Streaming Data Security Concerns
    4m 6s
  • Locked
    4. 
    NoSQL Database Security Concerns
    5m 54s
  • Locked
    5. 
    Distributed Processing Security Risks
    3m 55s
  • Locked
    6. 
    Data Mining and Analytics Privacy Flaws
    5m
  • Locked
    7. 
    End-Point Device Tampering Risks
    3m 56s
  • Locked
    8. 
    Secure Big Data
    5m 25s
  • Locked
    9. 
    Secure Data Streams
    3m 6s
  • Locked
    10. 
    Secure Data In Motion
    8m 34s
  • Locked
    11. 
    End-Point Input Validation and Filtering
    3m 16s
  • Locked
    12. 
    Secure Data at Rest with Symmetric Ciphers
    4m 18s
  • Locked
    13. 
    Exercise: Securing Big Data Streams
    6m 26s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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