These cybersecurity professionals are responsible for identifying, mapping and securing all external digital assets an organization owns or is connected to. This includes servers, domains, cloud assets and any other digital points that could be exploited by cyber criminals. Their role involves continuously monitoring these assets for vulnerabilities, misconfigurations or other potential security risks and implementing measures to mitigate these risks. They also work to  by eliminating unnecessary access points and ensuring that all remaining ones are properly secured.

In this exclusive and informative Q&A, spoke with , lead technologist, attack surface management for . Lipala is an accomplished cybersecurity professional with over five years of experience in the manufacturing and consulting industries, with a focus on vulnerability management, patch management and comprehensive attack surface management.

I can confidently say for myself and my friends who changed careers and got their master’s degree without having a bachelor’s degree in computer science, it is a really difficult process to get through

The paper, A Hive and SQL Case Study in Cloud Data Analytics, was based on joint work between MS in Computer Science alum Shireesha Chandra ’12, and Drs. Aparna Varde and Jiayin Wang.

Abstract

The digital universe is expanding at a very fast pace generating massive datasets. In order to keep up with the processing and storage needs for this big data, and to discover knowledge, we need scalable infrastructure and technologies that can access data from multiple disks simultaneously. Cloud computing provides paradigms for data analytics over such huge datasets. While SQL continues to be popular among database and data mining professionals, in recent years Hive has established itself as a rapidly advancing technology for big data which makes it highly suitable for use over the cloud. In this paper, we present investigatory research on Hive and SQL with a detailed case study between them, considering cloud data management and mining. Our work here constitutes a thorough scrutiny, focusing on processing Hive queries on cloud infrastructure considering three different approaches, and also delving into SQL processing on the cloud with similar approaches. Real datasets are used for conducting various operations using Hive and SQL. This paper conducts performance comparisons of the two technologies and explains the environment in which one is preferred over the other for processing and analyzing data. It provides recommendations for cloud data analytics, based on the case study.

Dr. Scriffignano was presented with the award after his keynote, Digital Disruption: Evolve Or Fade, The Choice Is Ours, at the 6^th annual NYC CDO Summit, hosted in the Roone Arledge auditorium at Columbia UniversityÌý¾±²ÔÌýNew York City by CDO Club founder .

Scriffignano is an internationally recognized data expert who leads a team of data scientists at Dun & Bradstreet, which provides commercial data, analytics, and insights to companies of all sizes around the world.

With an extensive background in linguistics and advanced algorithms, Scriffignano holds multiple patents worldwide. He recently briefed the US National Security Telecommunications Advisory Committee regarding reports to the President on Big Data Analytics and Emerging Technologies Strategic Vision. He has also delivered keynote addresses and served as a forum panelist at major industry and academic events globally.

Data is the lifeblood of the online economy, and organizations now require people in leadership positions who can balance business requirements while providing strict controls over user privacy and security.

Dun & Bradstreet is one of the world’s most trusted sources of data and analytics, and Anthony’s thought leadership continues to provide innovative, sound counsel to businesses and organizations as they navigate data challenges in today’s global marketplace. Therefore, I am delighted to name ¶Ù°ù.ÌýAnthony Scriffignano as the US Chief Data Officer of the Year for 2018.

Scriffignano has more than 40 years of experience in multiple industries and enterprise domains and currently serves as SVP and Chief Data Scientist at Dun & Bradstreet. Since 2002 he has held various positions, including leading Global Data Strategy and Data Technology Development. Prior to Dun & Bradstreet, he was Senior Manager at Deloitte Consulting, and held IT, Developer, and Analyst roles at Tower Cranes America and Harrison Alloys, and also taught as Adjunct Professor at Seton Hall University.

We are living in the age where we will either be overwhelmed by the amount of data and the pace of change, or where we will learn to ask new questions and derive new insights that lead us to far better uses of our increasingly valuable data assets. That choice is most certainly in our power.

Dr. Scriffignano earned his BA and MA in Computer Science from Â鶹´«Ã½ÔÚÏß; MBA from Columbia University Business School; and Ph.D. in Leadership and Change from Antioch University.