PDF Telecommunications: A Beginners Guide

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Not Sure Where to Start? Getting Started Try the Beginners Guide Understand a bit more about accessibility to make an informed decision. Learn More with our beginners guide to accessibility. Quiz Which tools and services are right for me? This action creates one or more MapReduce jobs. After a moment, the script starts and the page changes.

Beginners Guide to Apache Pig

When the job completes, result output. Modify line 1 of your script and add the following AS clause to define a schema for the truck events data. Open Vi and enter the following script:. Note: Recall that we used :x to save the script and pig -f Truck-Events to run the job.

Category: Company

You can define a new relation based on an existing one. Add the following line to the end of your code:. Save and execute the code. To view the data of a relation, use the DUMP command. The command requires a MapReduce job to execute, so you will need to wait a minute or two for the job to complete. One of the key uses of Pig is data transformation.

Lines & Calls

Now the completed code is:. Save and Execute the script. Again, this requires a MapReduce job just like the DUMP command , so you will need to wait a minute for the job to complete. Note: If you didn't use the default path above, then the new folder will exist in the path you created. The completed code will be:. Next, enter the following commands to sort the drivers data by name then date in ascending order:. Save and execute the script.

Basic Telecom Concepts

Notice that the data for eventType which are not Normal is grouped together for each driverId. You have successfully completed the tutorial and well on your way to pigging on Big Data. Your browser is out of date Update your browser to view this website correctly.

vipauto93.ru/profiles/installare/programmi-per-spiare-gratis.php Ready to Get Started? Download Sandbox. Introduction In this tutorial you will gain a working knowledge of Pig through the hands-on experience of creating Pig scripts to carry out essential data operations and tasks.