coursera spark

Course Content Spark cultivation (Basic)--linux Foundation (15), Akka distributed programming (8 Speak) Spark Cultivation (Advanced)--spark Introduction to Mastery (30 speak) Spark cultivation Path (actual combat)--spark application Development Practice (20

1, first download the image to local. https://hub.docker.com/r/gettyimages/spark/~$ Docker Pull Gettyimages/spark2, download from https://github.com/gettyimages/docker-spark/blob/master/docker-compose.yml to support the spark cluster DOCKER-COMPOSE.YML fileStart it$ docker-compose Up$ docker-compose UpCreating spark_master_1Creating spark_worker_1Attaching to Sp

Step 1: Test spark through spark Shell Step 1:Start the spark cluster. This is very detailed in the third part. After the spark cluster is started, webui is as follows: Step 2: Start spark shell: In this case, you can view the shell in the following Web console: S

Operating system Learning notes----process/threading Model----Coursera Course note process/threading model 0. Overview 0.1 Process ModelMulti-Channel program designConcept of process, Process control blockProcess status and transitions, process queuesProcess Control----process creation, revocation, blocking, wake-up 、...0.2 threading ModelWhy threading is introducedThe composition of the threadImplementation of threading mechanismUser-level threads, c

full implementation of multi-layered neural network recognition picture of the cat Original Coursera Course homepage, in the NetEase cloud classroom also has the curriculum resources but no programming practice. This program uses the functions completed in the last job, fully implementing a multilayer neural network, and training to identify whether there is a cat in the picture. There is no comment in the Code and Training test data download Cod

In China, Coursera is very choppy and often gets stuck when playing half of the video. I don't know why. Therefore, you can only download the file and view it again. There is a script on GitHub to open the link to download the entire course. It is very convenient to use. The method is as follows. Because this script uses multiple Python libraries, it is best to use the Linux system. I use Debian Wheezy and python2.7.3. Of course, you need a

Label: Ar c working time r as Rom net 5CATEGORY first, 1. skill category; 2. improvement category; 3. Interest category.I have completed the first six courses of Andrew Ng ml, UW computer network, and dataset cience on Coursera.In the future, the service will be guaranteed to be 25 hours a week, with an average of 2.5-3 hours per working day and 11 hours on weekends. In this way, three courses can be conducted at the same time in less than ten weeks, it also needs to be arranged according to the

Coursera-getting and Cleaning Data-week4Thursday, January,Make up the fourth week notes, and this course summary.The four-week course focuses on text processing. Inside includes1. Handling of variable names 2. Regular Expression 3. Date processing (see Swirl lubridate package exercise)First, the processing of variable names, followed by two principles, 1) uniform case tolower/toupper;2) Remove the import data, because special characters caused by the

Install spark Spark must be installed on the master, slave1, and slave2 machines. First, install spark on the master. The specific steps are as follows: Step 1: Decompress spark on the master: Decompress the package directly to the current directory: In this case, create the spa