Big Data Insights July 22, 2019

How to fail as a data scientist: 3 common mistakes As one of the most lucrative jobs in the tech field, data scientists don't have much room for error. Here are the biggest mistakes they can make. Resource of the day How to Separate True Threats from False Positives with Machine Learning Today’s AppSec teams need to secure more applications, more transactions and must do so with limited security staff. To keep pace, the old, time-consuming, and high false positive WAF models need to evolve. Security teams simply must be able to automate... Additional TechRepublic resources How businesses could be exposed to security risks from employees using FaceApp Why 70% of healthcare orgs have suffered data breaches What does a cloud data warehouse look like? The 10 most in-demand AI jobs of 2019 10 ways data and analytics will impact businesses How to make your business a big data leader: 5 steps Featured Webcast Analytics in the Streaming Age Enterprise data-of-value is being generated at an unprecedented pace. Raw data is flowing from social media, real-time transactions, instrumentation and metering from a wide variety of vertical applications, and vast fleets of connected Internet... Featured multimedia 13 things that can screw up your database design (free PDF) Design flaws can derail your database applications, driving away users and clients. Fortunately, many mistakes are easy to avoid. This ebook covers common design pitfalls and explains the best practices that can prevent them. Today's recommended downloads A Guide to AppSec in the Age of APIs & Microservices (ThreatX) The Elephant in the Room: Why Cloud Communications P roviders Dont Like to Talk About Compliance (8x8, Inc.) 8x8's Enterprise Engagement Management Platform: Moving Toward an Integrated Approach (8x8, Inc.) Ransomware: How healthcare organizations can stay ahead of attacks (Cisco) Learn the Fundamentals of Building Cloud Architectures to Drive Cost Efficiencies (Amazon Web Services)

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Managing the multicloud

A multicloud approach has been talked about for years within enterprises, but few companies have gone that direction. Now it's easier to go multicloud and AWS, Azure and Google Cloud Platform all share customers. Here's a look at managing multiple cloud providers, how to play them off each other and what vendors and tools can help you manage multiple clouds.