Why did Google Stop Using MapReduce and Start Encouraging Cloud Dataflow?
First of all, it is important to know that the old and the conventional MapReduce model is still being used for certain batch computing activities. Nevertheless, there are some specific tasks that cannot be carried out with the help of MapReduce and it is only because of this reason that Google has recently stopped using MapReduce and has started with the use of Cloud Dataflow. For example, Google web search index updating activity is dealing with a huge amount of data but it requires incremental updated on a constant basis. As per reports, Google has come up with an incremental computing mechanism known as Percolator for carrying out this huge data activity. It is important to note that Google has come up with a streaming computing mechanism known as Milwheel for carrying out low-latency computing jobs. Different services such as Google Map views now depend on Milwheel. One thing that is worth noting is that the applications of Google are not created from, no...