Too Long; Didn't Read
So far I’ve written articles on <a href="https://hackernoon.com/tagged/google" target="_blank">Google</a> BigQuery (<a href="https://cloud.google.com/blog/big-data/2016/01/anatomy-of-a-bigquery-query" target="_blank">1</a>,<a href="https://cloud.google.com/blog/big-data/2016/01/bigquery-under-the-hood" target="_blank">2</a>,<a href="https://cloud.google.com/blog/big-data/2016/08/google-bigquery-continues-to-define-what-it-means-to-be-fully-managed" target="_blank">3</a>,<a href="https://medium.com/p/6654841fa2dc" target="_blank">4</a>,<a href="https://medium.com/google-cloud/paying-it-forward-how-bigquerys-data-ingest-breaks-tech-norms-8bfe2341f5eb" target="_blank">5</a>) , on cloud-native economics(<a href="https://cloud.google.com/blog/big-data/2016/02/visualizing-the-mechanics-of-on-demand-pricing-in-big-data-technologies" target="_blank">1</a>,<a href="https://cloud.google.com/blog/big-data/2016/02/understanding-bigquerys-rapid-scaling-and-simple-pricing" target="_blank">2</a>), and even on ephemeral VMs (<a href="https://medium.com/@thetinot/google-clouds-spot-instances-win-big-and-you-should-too-5b244ca3facf#.soec2n94i" target="_blank">1</a>). One product that really excites me is Google Cloud <a href="https://cloud.google.com/dataproc/" target="_blank">Dataproc</a> — Google’s managed Hadoop, Spark, and Flink offering. In what seems to be a fully commoditized market at first glance, Dataproc manages to create significant differentiated value that bodes to transform how folks think about their <a href="https://hackernoon.com/tagged/hadoop" target="_blank">Hadoop</a> workloads.