Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines by Srini Penchikala Posted on Sep 24, 2016
Book Review: Site Reliability Engineering - How Google Runs Production Systems by João Miranda Posted on Sep 21, 2016
Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines by Dylan Raithel Posted on Aug 29, 2016
Christine Doig on Data Science as a Team Discipline by Srini Penchikala Posted on Aug 26, 2016
Consul 0.7 Adds Atomic K/V Updates, ACL Replication and Improved Protocol Robustness by Grischa Ekart Posted on Sep 22, 2016
Amazon Kinesis Analytics is Like SaaS for Big Data Analysis by Elton Stoneman Posted on Sep 14, 2016
IBM Creates Artificial Neurons from Phase Change Memory for Cognitive Computing by Srini Penchikala Posted on Sep 13, 2016
Azure Premium Messaging Service Reaches General Availability by Kent Weare Posted on Jul 31, 2016
Which Practices Contribute the Most for Successfully Implementing a DevOps Culture?
As part of InfoQ's articles series on "Patterns of DevOps Culture", we want to know which practices you believe contribute the most towards an environment of collaboration (across the board), sharing (continuous learning) and ownership (of both successes and failures)? In other words, what moves the needle towards DevOps?
What Scares You Most About Adopting a Microservice Architecture?
Microservices solve all architectural problems - or do they? Which of the many challenges of a microservice architecture worries you most?
What IoT Technology Have You Used or Learned About?
InfoQ Research wants to determine the technologies mostly used by our community in their IoT projects.
Emerging Trends in Big Data Technologies
Big Data technologies have been getting lot of attention over the last few years. There are several trends and innovations happening in this space. InfoQ would like to learn what new trends in Big Data you are currently using or planning on using in the future.