Essence of Testing

Thursday, September 13, 2018

Interesting reads - Data, Analytics, Security, DevOps, Python

Here is some interesting reading material I came across today - related to Data, Analytics, Security, DevOps and Python


  • AI & Analytics in Production  
  • Case Studies: Machine Learning
  • Putting the Power of Kafka into the Hands of Data Scientists
  • Building a Real-Time Bike-Share Data Pipeline with StreamSets, Kafka and MapD
  • Real-time data foundations: Kafka - The what, why, and how of Kafka
  • A Short Summary of Smoothing Algorithms
  • AVA: The Art and Science of Image Discovery at Netflix
  • Deploy only what you trust: introducing Binary Authorization for Google Kubernetes Engine
  • A Clean Start: Finding Vulnerabilities in your Docker Base Images
  • The Best User Behavior Analytics for Your Web or Mobile Product
  • Mozilla identifies 10 open source personas: What you need to know
  • 18 Python programming books for beginners and veterans
  • Making the Adobe Cloud More Resilient — with Chaos
  • 6 Patterns for Continuous Delivery with Serverless Applications
  • How Kubernetes Is Transforming into a Universal Scheduler
  • InSpec: Auditing and Testing Framework
  • ChaoSlingr: Introducing Security into Chaos Testing
  • Retire.js - What you require you must also retire


Happy Reading to you!


Posted by Anand Bagmar at 4:07:00 PM No comments:
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Labels: analytics, bigdata, data, datascience, devops, python, security, testing
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