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Project Alignment, Hiring Shortfall As Top Big Data Challenges
- Jan 07, 2016
- Derek Lin
- 1 minute to read
Table of Contents
Scaling up
2015 was an exciting ride for Exabeam. For 2016, we are to scale for growth. I am both happy and concerned about the thought. I am happy because folks at Exabeam, from the top to bottom, and among data science, security, and platform engineering, are fully aligned. This is critical for our company success. I don’t take this for granted as in my past consulting years, I saw many interesting data analytics efforts fall or stall due to non-alignment among teams. Even today in our dealing with potential clients, we continue to see places where data scientists are not aligned with security analysts, or vice versa.
Another concern of mine as we are poised for growth is hiring. Difficulty in hiring data talent has been chronic in recent years and will probably be the same this year. (If you know good people, send them along!)
Read more
I was asked to pen an article on my perspective of big data challenges in general for 2016. I elaborate on the above in the following article:
- Tags
- Big Data
- Predictions
Derek Lin
Chief Data Scientist | Exabeam | Derek Lin is the Chief Data Scientist at Exabeam, building products to help security teams accelerate and improve threat detection, investigation and response (TDIR) by adding intelligence to their existing security tools. His current and prior machine-learning research interests include behavior-based security analytics, risk-based banking fraud detection, and speech and language recognition. He holds numerous patents and authors papers in areas of fraud detection and cybersecurity.
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