Data Digest: Big Data Analytics, Big Data for Security, and a Streaming Analytics Primer
Learn the pros and cons of big data analytics techniques, how many enterprises think big data helps with data security, and the basics of streaming analytics.
- By Quint Turner
- May 4, 2016
This article argues that the ubiquity of big data as a buzzword has hidden the true point of big data analytics: to 'galvanize' the data and make it actionable. The author outlines five major techniques in data analytics and explains their advantages and disadvantages so you can choose the best one for your next project.
Read more at Business 2 Community
According to a recent survey, 53% of enterprises using big data security analytics report 'high' benefits from the practice. After discussing the rest of the survey results, this article explores how big data analytics can improve information security.
Read more at Computerweekly
Real-time analytics, or 'streaming analytics,' is the logical evolution of data analytics because enterprises need to process more data more quickly. This article reviews the basics of streaming analytics, offering definitions, pros and cons, and a list of the major players currently in the market.
Read more at www.dataversity.net
About the Author
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.