Providing Technology Training and Mentoring For Modern Technology Adoption
How Long Does it Take to Learn DevOps? Are you a developer looking to shift your career to a DevOps model? Maybe you’re a fully trained Ops person who wants to know what DevOps is all about. Or maybe you’re neither. Whatever the case may be, if you’re interested in learning DevOps, there’s a couple
The AWS Command Line Interface (CLI) is a powerful scripting platform written in Python that uses the AWS Cloud’s RESTful management API for performing various operational tasks, like creating S3 buckets, deleting EBS volumes, etc.In this blog, I will show you how you can terminate EC2 instances from your local computer using AWS CLI wrapped
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Configuration Management, as applied in DevOps, is the practice of using tools to manage the configuration of our technical architecture. Put simply, we document the desired state of one or more servers in a machine-readable form, and then use a configuration management tool (e.g. Chef, Puppet, Salt, or Ansible) to setup the real items to
In this post, I will demonstrate the usage of the k-means clustering algorithm in R and in Apache Spark.Apache Spark (hereinafter Spark) offers two implementations of k-means algorithm: one is packaged with its MLlib library; the other one exists in Spark’s spark.ml package. While both implementations are currently more or less functionally equivalent, the Spark
Have you noticed that many of the directives built-in to AngularJS are missing in Angular 2.0? Well there two reasons for that; “property bindings” and “event bindings”. The various binding types in Angular 2 remove the need for many of the directives built into the prior version of the framework. Here are a few examples
In this post we will review the more important aspects related to RDD checkpointing. We will continue working on the over500 RDD we created in the previous post on caching. You will remember that checkpointing is a process of truncating an RDD’s lineage graph and saving its materialized version on a persistence store.
Spark offers developers two simple and quite efficient techniques to improve RDD performance and operations against them: caching and checkpointing. Caching allows you to save a materialized RDD in memory, which greatly improves iterative or multi-pass operations that need to traverse the same data set over and over again (e.g. in machine learning algorithms.)
Last week I completed development of our 2 day class teaching Apache Spark which will be integrated in our Big Data and Data Science classes after the QA cycle. I will be feeding some fragments of the material with additional comments and notes that would help you get a taste of what the new content is all
Spark added support for R back in version 1.4.1. and you can use it in Spark Standalone mode. Big Hadoop distros, like Cloudera’s CDH and Hortonworks’ HDP that bundle Spark, have varying degree of support for R. For the time being, CDH decided to opt out of supporting R (their latest CDH 5.8.x version does