Tutorial by Examples: distributed

Hadoop Distributed File System (HDFS) is a Java-based file system that provides scalable and reliable data storage that is designed to span large clusters of commodity servers. HDFS, MapReduce, and YARN form the core of Apache™ Hadoop®. HDFS is designed to be highly fault-tolerant, which is achieve...

Developing Meteor apps usually means developing multi-client reactivity, which requires collaboration tools. The following tools have proven to be popular within the Meteor community. Google Hangouts - Video conferencing and chat. Zenhub.io - Kanban boards for GitHub. InVision - Collaborative ...

From dataframe: mtrdd <- createDataFrame(sqlContext, mtcars) From csv: For csv's, you need to add the csv package to the environment before initiating the Spark context: Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.4.0" "sparkr-shel...

To leverage distributed cache, you'll have to reference one of the available implementations : Redis Sql server For instance you'll register Redis implemention as follows : public void ConfigureServices(IServiceCollection services) { services.AddDistributedRedisCache(options => ...

Imagine many users all running a web application that is trying to increment a counter in the database. Each user must read the current count, add one and write out the updated value. To make sure no one reads the counter while someone else is is adding one we use a transaction: ref.transaction(fun...

import tensorflow as tf FLAGS = None def main(_): ps_hosts = FLAGS.ps_hosts.split(",") worker_hosts = FLAGS.worker_hosts.split(",") # Create a cluster from the parameter server and worker hosts. cluster = tf.train.ClusterSpec({"ps": ps_hosts,...