Remove 2017 Remove Big Data Remove Data Security Remove Planning
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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. However, Agile technology defies this rule of thumb, especially when developers leverage big data effectively. Categorizing data.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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Does Facebook “Libra” Illustrate The Dark Side Of Big Data?

Smart Data Collective

Big data has had wonderful implications for our lives. Big data raises very valid privacy concerns. Tech Republic wrote about this in their 2017 post Big Data Privacy is a Bigger Issue than You Think. All big data attached to Libra belong to Facebook. However, there is a dark side.

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12 AWS Certifications – Which One Should I Choose?

Whizlabs

These are for various positions such as developer, architect, admin, and others with specialties like big data, security and networking. AWS Security Specialist. AWS Big Data Expert. AWS Data Analyst. Migration Planning – 15%. Ensuring data security and data integrity on AWS technologies.

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ICYMI: Domo Enhanced Its Free Offering To Release Data Professionals From “Tableau Hell”

Domo

Other innovative features include a Data Lineage, a path-based view that clarifies which sources were combined to create a given dataset. Analyzer will be available in limited beta release at the end of this month with general availability planned for early 2017.

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Layman’s Guide to Machine Learning and Customer Data Privacy

Actian

A number of recent controversies expose the potential scale of the ML + Customer Data Privacy problem. Google (whose health data-sharing arrangement with Ascension became the subject of scrutiny in November) ditched its plans to publish chest X-ray scans over concerns that they contained personally identifiable information.