Best of Upside’s Data Digest
Articles examine data scientists and teamwork, moving big data to the cloud, how IoT will require analytics to evolve, and simple tactics for better data management.
- By Quint Turner
- May 12, 2016
IoT Requires Evolution of Analytics
The Internet of Things is a fantastic opportunity for any enterprise to tap into. However, with so much real-time data coming in, you can't use the same old analytics strategies. This article explains five ways to modernize your analytics for IoT.
The Best Data Scientist May Be a Team
The number of people competing for data science jobs has drastically increased, but they are not all experts. Enterprises trying to hire only perfect data scientists will have a difficult time. This article recommends building a data science team by bringing together employees with different skills and backgrounds.
Move Big Data to the Cloud
(Source: Dynamic Business Austrailia)
You probably know big data can be powerful, but you need the right architecture to take advantage of it. This article discusses five key reasons why you should shift your big data projects to the cloud.
Simple Tactics for Better Data Management
(Source: IT Pro Portal)
Effective data management can be difficult to establish, but having a solid plan is critical for every enterprise. This article offers five basic steps toward a successful data management strategy.
A Saturation of Data Scientists?
(Source: ADT Mag)
Considering how publicized the hunt for data scientists has been, it is unsurprising that recent employment surveys have shown a large increase in the number of them in the field. This article summarizes one such survey, but also notes that despite this influx of employees, the supply of data scientists still has yet to reach the market demand.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.