2o17 PGA CREW
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| || 2o17.o6.13 | |
| - HOT.OFF.THE.PRESS !! || | WE.WARP.YOUR.MIND.WITH |
| -------------------- `----------------' ---------------------- |
| ....[PROPAGANDA].................................................. |
| || : |
| || PACKT.PUBLISHING.TAMING.BIG.DATA.WITH.SPARK.STREAMING.AND. : |
| || SCALA-HANDS.ON.TUTORiAL-PROPAGANDA : |
| ||...............................................................: |
| |
| ....[URL]......................................................... |
| || www.safaribooksonline.com : |
| ||...............................................................: |
| |
| ....[ISBN/COURSE.NUMBER].......................................... |
| || 9781787123915 : |
| ||...............................................................: |
| |
| ....[COURSE.iNFO]................................................. |
| || By: Frank Kane : |
| || Publisher: Packt Publishing : |
| || Release Date: September 2016 : |
| || ISBN: 9781787123915 : |
| || Running Time: 05:54:53 : |
| || Topics: Scala / Spark Streaming : |
| || ------------------------------------------------------------- : |
| || Description: : |
| || ------------ : |
| || Process large amounts of data in real time using Spark Stream : |
| || ing : |
| || : |
| || About This Video : |
| || ---------------- : |
| || - Process streams of real-time data from various sources with : |
| || | || - Spark Streaming : |
| || - Query your streaming data in real-time using Spark SQL : |
| || - A comprehensive tutorial with practical examples to help you: |
| || develop real-time Spark applications : |
| || : |
| || In Detail : |
| || --------- : |
| || Businesses these days require constant, real-time analysis of : |
| || large amounts of data, along with meaningful insights which : |
| || influence business decisions. Apache Spark has emerged as the : |
| || most popular tool in the Big Data market for efficient real- : |
| || time analytics of Big Data. Spanning over 5 hours, this course: |
| || will teach you the basics of Apache Spark and how to use Spark: |
| || Streaming - a module of Apache Spark which involves handling : |
| || and processing of Big Data on a real-time basis. You will : |
| || learn how to create Spark applications with Scala to process : |
| || streams of real-time data. Whether you want to analyze : |
| || continuously incoming website traffic, analyze real-time : |
| || streams of Twitter feeds or query your streaming data in real : |
| || time, this course has got you covered. You will also learn how: |
| || to use the MLlib module of Spark to train machine learning : |
| || models with streaming data, and use those models to make real-: |
| || time predictions. The course assumes some programming : |
| || experience, and uses Scala to develop Spark applications. It : |
| || includes a crash course in the Scala programming language in : |
| || case you're new to it. : |
| || : |
| ||...............................................................: |
| |
| ....[TABLE.OF.CONTENTS]........................................... |
| || : |
| || Chapter 1 : Getting Started : |
| || - Introduction and Getting Set Up 00:16:06 : |
| || - Stream Live Tweets with Spark Streaming! 00:10:13 : |
| || : |
| || Chapter 2 : A Crash Course in Scala : |
| || - Scala Basics Part 1 00:11:27 : |
| || - Scala Basics Part 2 00:09:41 : |
| || - Flow Control in Scala 00:07:18 : |
| || - Functions in Scala 00:08:47 : |
| || - Data Structures in Scala 00:16:38 : |
| || : |
| || Chapter 3 : Spark Streaming Concepts : |
| || - Introduction to Spark 00:07:06 : |
| || - The Resilient Distributed Dataset (RDD) 00:10:40 : |
| || - RDDs in Action Simple Word Count Application 00:08:17 : |
| || - Introduction to Spark Streaming 00:06:32 : |
| || - Revisiting the PrintTweets Application 00:05:10 : |
| || - Windowing Aggregating Data over Longer Time Spans 00:05:00 : |
| || - Fault Tolerance in Spark Streaming 00:06:06 : |
| || : |
| || Chapter 4 : Spark Streaming Examples with Twitter : |
| || - Saving Tweets to Disk 00:13:24 : |
| || - Tracking the Average Tweet Length 00:08:23 : |
| || - Tracking the Most Popular Hashtags 00:14:51 : |
| || : |
| || Chapter 5 : Spark Streaming Examples w Clickstream / Apache + : |
| || Access Log Data : |
| || - Tracking the Top URLs Requested 00:13:27 : |
| || - Alarming on Log Errors 00:11:56 : |
| || - Integrating Spark Streaming with Spark SQL 00:08:27 : |
| || - Intro to Structured Streaming in Spark 2 00:11:24 : |
| || - Analyzing Apache Log files with Structured Streaming 09:05 : |
| || : |
| || Chapter 6 : Integrating with Other Systems : |
| || - Integrating with Apache Kafka 00:12:20 : |
| || - Integrating with Apache Flume 00:08:51 : |
| || - Integrating with Amazon Kinesis 00:05:30 : |
| || - Writing Custom Data Receivers 00:06:56 : |
| || - Integrating with Cassandra 00:07:35 : |
| || : |
| || Chapter 7 : Advanced Spark Streaming Examples : |
| || - Stateful Information in Spark Streams 00:15:07 : |
| || - Streaming K-Means Clustering 00:15:36 : |
| || - Streaming Linear Regression 00:11:50 : |
| || : |
| || Chapter 8 : Spark Streaming in Production : |
| || - Running with spark-submit 00:10:47 : |
| || - Packaging Your Code with SBT 00:10:49 : |
| || - Running on a Real Hadoop Cluster with EMR 00:13:14 : |
| || - Troubleshooting and Tuning Spark Jobs 00:12:35 : |
| || : |
| || Chapter 9 : You Made It! : |
| || - Learning More 00:03:45 : |
| || : |
| || Working_Files.zip included ( in section directory ) : |
| ||...............................................................: |
| |
| ....[SiZE.NUMBER.OF.DiSCS]........................................ |
| || 93 Files @ 150,000,000 Bytes = 13000 MB : |
| ||...............................................................: |
| |
| ....[GREETINGS/Hi-5's]............................................ |
| || kEiSO - QUASAR - PRODEV - ELOHIM - JGTiSO - OXBRiDGE : |
| ||...............................................................: |
| |
| ....[FUCK-YOU's].................................................. |
| || SoSISO - XQZT - AND ALL OTHER P2P BITCHES : |
| || DO NOT TRUST THESE PEOPLES PROPAGANDA! +DUPECHECK + ISBN PLS! : |
| || INCLUDE SUPPORT_FILES! & LABEL YOUR DIRS PROPERLY!!!!!! : |
| || --------------------------------------------------------------: |
| || PEOPLE HAD THE AUDACITY TO ASK US WHAT THIS EVEN MEANS!!!! : |
| || WHILE THERE ARE RELAXED RULES IN BOOKWARE THIS DOES NOT MEAN : |
| || EVERY VIDEO ON A SITE IS PUBLISHED BY THAT WEB SITE, THERE HAS: |
| || BEEN COUNTLESS DUPES OVER THE PAST YEARS THAT WERE NOT NUKED : |
| || INCLUDE AN ISBN NUMBER - INFACT HONESTLY THE DIRS SHOULD BE : |
| || ISBNXXXXXXXXXXXX.BOOKWARE/TUTORiAL-GROUP SINCE PPL HAVE SO : |
| || TROUBLE READING. ISBN NUMBER SHOULD NEED BE REQUIRED IN NFO. : |
| || THERE IS NO OTHER WAY TO KNOW 100% IF THE GROUP GOT THE TITLE : |
| || OR ANYTHING ELSE CORRECT!!!! WE WILL HAPPILY LEAVE WHEN THIS : |
| || IS FIXED! : |
| || ------------------------------------------------------------- : |
| || /dev/random: : |
| || ------------ : |
| || They paint the world full of shadows, and then tell their : |
| || children to stay close to the light, their light, their : |
| || reasons, *their* judgements. Because in the darkness there be : |
| || dragons, but it is not true. We can prove that it is not true.: |
| || In the dark there is discovery, there is possibility, there is: |
| || freedom in the dark when someone has illuminated it. And who : |
| || who has been so close as we are right now? : |
| || : |
| || PGA is dedicated to the purity of real piracy, not for making : |
| || money off of it, or exploiting the scene in *ANY* way. We are : |
| || the true pirates, illuminating the darkness, giving birth to : |
| || possibilities in a time where so little seems achievable. Join: |
| || us and usher in this new age. : |
| ||...............................................................: |
|....................................................................|
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