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Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. Software observability And all this — this data, these workloads — are all deployed somewhere.
Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective DataCenter Design Techniques: DataCenter Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.
Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective DataCenter Design Techniques: DataCenter Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.
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