Udemy - Spark 3.0 & Big Data Essentials with Scala
- Category Other
- Type Tutorials
- Language English
- Total size 3.9 GB
- Uploaded By tutsnode
- Downloads 359
- Last checked 6 days ago
- Date uploaded 4 years ago
- Seeders 9
- Leechers 2
Infohash : 213E350BAF3BC1FAC74F3B912B1C0DFEA47DA29C
Description
UPDATED FOR SPARK 3.0
In this course, we will learn how to write big data applications with Apache Spark 3 and Scala. Youâll write 2000+ lines of Spark code yourself, with guidance, and you will become a rockstar.
This course is for Scala programmers who are getting started with Apache Spark and big data. The course is not for advanced Spark engineers.
Why Spark in Scala:
  itâs blazing fast for big data
  its demand has exploded
  itâs a highly marketable skill
  itâs well maintained, with dozens of high-quality extensions
  itâs a foundation for a data scientist
I like to get to the point and get things done. This course
  deconstructs all concepts into the critical pieces you need
  selects the most important ideas and separates them into whatâs simple but critical and whatâs powerful
  sequences ideas in a way that âclicksâ and makes sense throughout the process of learning
  applies everything in live code
The end benefits are still much greater:
  a completely new mental model around data processing
  significantly more marketable resume
  more enjoyable work â Spark is fun!
This course is for established programmers with experience with Scala and with functional programming at the level of the Rock the JVM Scala beginners course. I already assume a solid understanding of general programming fundamentals.
This course is NOT for you if
  youâve never written Scala code before
  you donât have some essential parallel programming background (e.g. whatâs a process/a thread)
The course is comprehensive, but youâll always see me get straight to the point. So make sure you have a good level of focus and commitment to become a badass programmer.
I believe both theory and practice are important. Thatâs why youâll get lectures with code examples, real life code demos and assignments, plus additional resources, instructions, exercises and solutions. At the end of the course, youâll have written thousands of lines of Spark.
Iâve seen that my students are most successful â and my best students work at Google-class companies â when theyâre guided, but not being told what to do. I have exercises waiting for you, where I offer my (opinionated) guidance but otherwise freedom to experiment and improve upon your code.
Definitely not least, my students are most successful when they have fun along the way!
So join me in this course and letâs rock the JVM!
Who this course is for:
  Future data scientists
  Programmers getting into the field of Big Data
  Engineers wanting to learn Spark in Scala, its native language
Requirements
  Scala fundamentals, at the level of the Rock the JVM beginners course
  Scala advanced â implicits
Last Updated 3/2021
Files:
Spark 3.0 Big Data Essentials with Scala [TutsNode.com] - Spark 3.0 Big Data Essentials with Scala 2. Spark Structured API DataFrames- 8. DataFrame Aggregations.mp4 (250.8 MB)
- 8. DataFrame Aggregations.srt (30.5 KB)
- 5. Data Sources, Part 2 + Exercises.srt (30.0 KB)
- 1. DataFrames Basics.srt (27.5 KB)
- 7. Columns & Expressions Exercise.srt (18.8 KB)
- 5. Data Sources, Part 2 + Exercises.mp4 (240.1 MB)
- 10. DataFrame Joins Exercise.srt (19.3 KB)
- 4. Data Sources.srt (15.2 KB)
- 3. How DataFrames Work.srt (9.0 KB)
- 2. DataFrames Basics Exercises.srt (8.9 KB)
- 6. DataFrames Columns & Expressions.mp4 (205.7 MB)
- 1. DataFrames Basics.mp4 (198.3 MB)
- 6. DataFrames Columns & Expressions.srt (192.9 MB)
- 9. DataFrame Joins.srt (180.8 MB)
- 9. DataFrame Joins.mp4 (180.8 MB)
- 7. Columns & Expressions Exercise.mp4 (172.4 MB)
- 10. DataFrame Joins Exercise.mp4 (164.6 MB)
- 4. Data Sources.mp4 (105.8 MB)
- 2. DataFrames Basics Exercises.mp4 (68.6 MB)
- 3. How DataFrames Work.mp4 (35.6 MB)
- 1. Working with Common Spark Data Types.srt (30.8 KB)
- 2. Working with Complex Spark Data Types.srt (22.1 KB)
- 3. Managing Nulls in Data.srt (20.1 KB)
- 5. Datasets, Part 2 + Exercise.srt (18.0 KB)
- 1. Working with Common Spark Data Types.mp4 (216.0 MB)
- 4. Type-Safe Data Processing Datasets.mp4 (207.1 MB)
- 2. Working with Complex Spark Data Types.mp4 (194.9 MB)
- 5. Datasets, Part 2 + Exercise.mp4 (151.6 MB)
- 3. Managing Nulls in Data.mp4 (120.6 MB)
- 4. Type-Safe Data Processing Datasets.srt (5.1 MB)
- 3. Scala Recap.srt (29.2 KB)
- 1. Welcome!.srt (16.0 KB)
- 4. Spark First Principles.srt (13.3 KB)
- 2. How to Make the Best out of This Course.srt (3.8 KB)
- 3. Scala Recap.mp4 (126.3 MB)
- 1. Welcome!.mp4 (86.2 MB)
- 4. Spark First Principles.mp4 (46.4 MB)
- 2. How to Make the Best out of This Course.mp4 (13.4 MB)
- 3. Spark SQL Exercises.srt (23.5 KB)
- 2. Spark SQL.srt (19.9 KB)
- 1. Spark as a Database with Spark SQL Shell.srt (15.7 KB)
- 3. Spark SQL Exercises.mp4 (183.8 MB)
- 2. Spark SQL.mp4 (176.8 MB)
- 1. Spark as a Database with Spark SQL Shell.mp4 (79.2 MB)
- 1. RDDs.srt (20.4 KB)
- 2. RDDs, Part 2 + Exercise.mp4 (216.4 MB)
- 1. RDDs.mp4 (118.3 MB)
- 2. RDDs, Part 2 + Exercise.srt (46.6 MB)
- 1. You Rock!.srt (0.6 KB)
- 1. You Rock!.mp4 (3.9 MB)
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