[Packtpub.Com] Apache Spark Tips, Tricks, & Techniques - [FCO]
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Files
| 0101.The Course Overview.mp4 | 7.6 MB | ||
| 0102.Using Spark Transformations to Defer Computations to a Later Time.mp4 | 17.3 MB | ||
| 0103.Avoiding Transformations.mp4 | 14 MB | ||
| 0104.Using reduce and reduceByKey to Calculate Results.mp4 | 18.4 MB | ||
| 0105.Performing Actions That Trigger Computations.mp4 | 16.9 MB | ||
| 0106.Reusing the Same RDD for Different Actions.mp4 | 13.4 MB | ||
| 0201.Delve into Spark RDDs ParentChild Chain.mp4 | 22.3 MB | ||
| 0202.Using RDD in an Immutable Way.mp4 | 12.1 MB | ||
| 0203.Using DataFrame Operations to Transform It.mp4 | 13.6 MB | ||
| 0204.Immutability in the Highly Concurrent Environment.mp4 | 16.9 MB | ||
| 0205.Using Dataset API in an Immutable Way.mp4 | 11.8 MB | ||
| 0301.Detecting a Shuffle in a Processing.mp4 | 16.8 MB | ||
| 0302.Testing Operations That Cause Shuffle in Apache Spark.mp4 | 15 MB | ||
| 0303.Changing Design of Jobs with Wide Dependencies.mp4 | 11.7 MB | ||
| 0304.Using keyBy() Operations to Reduce Shuffle.mp4 | 15.3 MB | ||
| 0305.Using Custom Partitioner to Reduce Shuffle.mp4 | 12.9 MB | ||
| 0401.Saving Data in Plain Text.mp4 | 20.8 MB | ||
| 0402.Leveraging JSON as a Data Format.mp4 | 15.3 MB | ||
| 0403.Tabular Formats – CSV.mp4 | 13.2 MB | ||
| 0404.Using Avro with Spark.mp4 | 15.6 MB | ||
| 0405.Columnar Formats – Parquet.mp4 | 13.6 MB | ||
| 0501.Available Transformations on KeyValue Pairs.mp4 | 18 MB | ||
| 0502.Using aggregateByKey Instead of groupBy().mp4 | 17.8 MB | ||
| 0503.Actions on KeyValue Pairs.mp4 | 13.2 MB | ||
| 0504.Available Partitioners on KeyValue Data.mp4 | 23.1 MB | ||
| 0505.Implementing Custom Partitioner.mp4 | 18.3 MB | ||
| 0601.Separating Logic from Spark Engine – Unit Testing.mp4 | 17.4 MB | ||
| 0602.Integration Testing Using SparkSession.mp4 | 12.5 MB | ||
| 0603.Mocking Data Sources Using Partial Functions.mp4 | 15.4 MB | ||
| 0604.Using ScalaCheck for Property-Based Testing.mp4 | 14.3 MB | ||
| 0605.Testing in Different Versions of Spark.mp4 | 12.7 MB | ||
| 0701.Creating Graph from Datasource.mp4 | 13.4 MB | ||
| 0702.Using Vertex API.mp4 | 18 MB | ||
| 0703.Using Edge API.mp4 | 10.7 MB | ||
| 0704.Calculate Degree of Vertex.mp4 | 14.2 MB | ||
| 0705.Calculate Page Rank.mp4 | 17.2 MB | ||
| Discuss.FreeTutorials.Us.html | 165.7 KB | ||
| FreeCoursesOnline.Me.html | 108.3 KB | ||
| FreeTutorials.Eu.html | 102.2 KB | ||
| How you can help Team-FTU.txt | 307.2 B | ||
| Torrent Downloaded From GloDls.to.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.org.txt | 512 B | ||
| exercise_files.zip | 129.5 KB | ||
| ▲ 43 total files | |||
Description
By Tomasz Lelek
Released Friday, November 30, 2018 New Release!
Torrent Contains : 43 Files, 8 Folders
Course Source : https://www.packtpub.com/application-development/apache-spark-tips-tricks-techniques-video
Discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs
Video Details
ISBN 9781789801125
Course Length 2 hours 26 minutes
Table of Contents
• TRANSFORMATIONS AND ACTIONS
• IMMUTABLE DESIGN
• AVOID SHUFFLE AND REDUCE OPERATIONAL EXPENSES
• SAVING DATA IN THE CORRECT FORMAT
• WORKING WITH SPARK KEY/VALUE API
• TESTING APACHE SPARK JOBS
• LEVERAGING SPARK GRAPHX API
Video Description
Apache Spark has been around for quite some time, but do you really know how to get the most out of Spark? This course aims at giving you new possibilities; you will explore many aspects of Spark, some you may have never heard of and some you never knew existed.
In this course you'll learn to implement some practical and proven techniques to improve particular aspects of programming and administration in Apache Spark. You will explore 7 sections that will address different aspects of Spark via 5 specific techniques with clear instructions on how to carry out different Apache Spark tasks with hands-on experience. The techniques are demonstrated using practical examples and best practices.
By the end of this course, you will have learned some exciting tips, best practices, and techniques with Apache Spark. You will be able to perform tasks and get the best data out of your databases much faster and with ease.
Style and Approach
This step-by-step and fast-paced guide will help you learn different techniques you can use to optimize your testing time, speed, and results with a practical approach, take your skills to the next level, and get you up-and-running with Spark.
What You Will Learn
• Compose Spark jobs from actions and transformations
• Create highly concurrent Spark programs by leveraging immutability
• Ways to avoid the most expensive operation in the Spark API—Shuffle
• How to save data for further processing by picking the proper data format saved by Spark
• Parallelize keyed data; learn of how to use Spark's Key/Value API
• Re-design your jobs to use reduceByKey instead of groupBy
• Create robust processing pipelines by testing Apache Spark jobs
• Solve repeated problems by leveraging the GraphX API
Authors
Tomasz Lelek
Tomasz Lelek is a Software Engineer, programming mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to getting better every day. He is passionate about nearly everything associated with software development, and believes that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland -, Confitura and JDD (Java Developers Day), and also at Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.
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