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
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
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.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.