Best of Upside's Data Digest
Articles explain how to make data lakes success, why shadow IT exists, how to spot the hidden biases in data, and the next security crisis: data manipulation.
- By Quint Turner
- September 27, 2016
Making Data Lakes Successful
(Source: Datanami)
Theoretically, the data lake collects more data and makes it more accessible. This article explains best practices for helping your data lake successfully deliver self-service access.
The Reasons Behind Shadow IT
(Source: Information Age)
From a security standpoint, it makes no sense for enterprise employees to use non-sanctioned technology. This article explains why shadow IT is pervasive and how to convince users to abandon it.
The Hidden Biases in Data
(Source: NPR)
Data analytics and machine learning seem unbiased, but this interview with data scientist Cathy O'Neil discusses the potential impact of biases within data analytics algorithms.
The Next Crisis: Data Manipulation
(Source: Dark Reading)
Cyberthreats are getting increasingly sophisticated. This article argues that the next type of major attack will be data manipulation.
Defining BI and Analytics
(Source: IT Pro Portal)
Knowing the difference between BI, advanced analytics, and data science is the first step to effectively practicing any of the three. This article provides in-depth definitions.
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.