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00_agenda-5-days-Apache-Spark-with-Scala-for-PySpark-Developers-Workshop.html
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<!doctype html>
<html lang="en">
<head>
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<title>Apache Spark™ with Scala for PySpark Developers Workshop | 5 days</title>
<meta name="description" content="Apache Spark™ with Scala for PySpark Developers Workshop | 5 days">
<meta name="author" content="Jacek Laskowski">
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© <a href="https://medium.com/@jaceklaskowski">Jacek Laskowski</a> 2019 / <a href="https://twitter.com/jaceklaskowski">@JacekLaskowski</a>
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<div class="slides">
<section class="intro" data-transition="zoom" id="home">
<p>
<img width="5%" style="background:none; border:none; box-shadow:none;" data-src="images/scala-logo.png">
<img width="17%" style="background:none; border:none; box-shadow:none;" data-src="images/spark-logo.png">
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</p>
<h1 style="font-size: 2.77em;">Apache Spark™ with Scala for PySpark Developers Workshop <small>5 Days</small></h1>
<h4 style="font-size: smaller;">
<a href="https://twitter.com/jaceklaskowski">@jaceklaskowski</a> / <a href="https://stackoverflow.com/users/1305344/jacek-laskowski">StackOverflow</a> / <a href="https://github.com/jaceklaskowski">GitHub</a>
<br>
The "Internals" Books: <a href="https://bit.ly/apache-spark-internals">Apache Spark</a> / <a href="https://bit.ly/spark-sql-internals">Spark SQL</a> / <a href="https://bit.ly/spark-structured-streaming">Spark Structured Streaming</a>
</h4>
</section>
<section>
<section id="speaker" style="font-size: 90%" data-markdown>
<textarea data-template>
<p><img width="12%" src="images/jacek_laskowski_20141201_512px.png" style="border: 0"></p>
* **Jacek Laskowski** is a freelance IT consultant
* Specializing in **Spark**, Kafka, Kafka Streams, Scala
* Development | Consulting | Training
* Among contributors to <a href="https://github.com/apache/spark/graphs/contributors">Apache Spark</a>
* Contact me at **[email protected]**
* Follow [@JacekLaskowski](https://twitter.com/jaceklaskowski) on twitter <br>for more #ApacheSpark, #ApacheKafka, #KafkaStreams
</textarea>
</section>
<section id="gitbooks">
<p><img width="12%" src="images/jacek_laskowski_20141201_512px.png" style="border: 0"></p>
<div style="text-align: center">
<p>Jacek is best known by the online "Internals" books:</p>
<p>
<ol>
<li><a href="https://bit.ly/apache-spark-internals">The Internals of Apache Spark</a></li>
<li><a href="https://bit.ly/spark-sql-internals">The Internals of Spark SQL</a></li>
<li><a href="https://bit.ly/spark-structured-streaming">The Internals of Spark Structured Streaming</a></li>
<li><a href="https://bit.ly/mastering-kafka-streams">The Internals of Kafka Streams</a></li>
<li><a href="https://bit.ly/mastering-apache-kafka">The Internals of Apache Kafka</a></li>
</ol>
</p>
</div>
</section>
<section id="stackoverflow">
<div style="text-align: center">
<p>
Jacek is active on <a href="http://stackoverflow.com/users/1305344/jacek-laskowski">StackOverflow</a>
</p>
<p>
<img width="65%" src="images/jaceklaskowski-stackoverflow-stats.png" style="border: 0">
</p>
</div>
</section>
</section>
<section>
<section id="goal" data-markdown>
<textarea data-template>
# Goal
<p>
Advance in solving analytical problems using<br />
<b><span style="font-size: 140%">Spark SQL</span></b> and <b><span style="font-size: 140%">Spark Structured Streaming</span></b><br /> with Scala
</p>
</textarea>
</section>
</section>
<section>
<section id="agenda" data-markdown style="font-size: 90%;">
<textarea data-template>
## Agenda
- [Day 1](#/day1). The Essentials of Spark SQL
- [Day 2](#/day2). Spark SQL & Spark Core
- [Day 3](#/day3). Spark SQL / Aggregration and Joins
- [Day 4](#/day4). Advanced Spark SQL
- [Day 5](#/day5). Spark Structured Streaming
</textarea>
</section>
<section id="day1" data-markdown style="font-size: 90%;">
<textarea data-template>
## Day 1. The Essentials of Spark SQL
1. (Warm-up) [Exercise: Finding Ids of Rows with Word in Array Column](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Finding-Ids-of-Rows-with-Word-in-Array-Column.html)
1. [Spark SQL](spark-sql.html)
* [Exercise: Standalone Spark Application to Display Spark SQL Version](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Standalone-Spark-Application-to-Display-Spark-SQL-Version.html)
* [Exercise: Using CSV Data Source](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Using-CSV-Data-Source.html)
</textarea>
</section>
<section id="day2" data-markdown>
<textarea data-template>
## Day 2. Spark SQL & Spark Core
1. [Columns and Dataset Operators](spark-sql-columns-and-dataset-operators.html)
* [Exercise: Using Dataset.flatMap Operator](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Using-Dataset-flatMap-Operator.html)
1. [The Core of Apache Spark](spark-core.html)
1. [Spark and Cluster Managers](spark-core-spark-and-cluster-managers.html)
1. [Standard and User-Defined
Functions](spark-sql-standard-functions-udfs.html)
</textarea>
</section>
<section id="day3" data-markdown style="font-size: 85%;">
<textarea data-template>
## Day 3. Spark SQL / Aggregration and Joins
1. Exercises
* [Exercise: Difference in Days Between Dates As Strings](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Difference-in-Days-Between-Dates-As-Strings.html)
* [Exercise: Using UDFs](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Using-UDFs.html)
1. [Basic Aggregation](spark-sql-basic-aggregation.html)
* [Exercise: Finding maximum values per group (groupBy)](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Finding-maximum-values-per-group-groupBy.html)
* [Exercise: Collect values per group](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Collect-values-per-group.html)
* [Exercise: Multiple Aggregations](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Multiple-Aggregations.html)
1. [Joins](spark-sql-joins.html)
* [Exercise: Finding Most Populated Cities Per Country](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Finding-Most-Populated-Cities-Per-Country.html)
</textarea>
</section>
<section id="day4" data-markdown style="font-size: 80%;">
<textarea data-template>
## Day 4. Advanced Spark SQL
1. [The Internals of Structured Query Execution](spark-sql-internals-of-structured-query-execution.html)
1. Exercises
* [Exercise: Flattening Array Columns (From Datasets of Arrays to Datasets of Array Elements)](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Flattening-Array-Columns-From-Datasets-of-Arrays-to-Datasets-of-Array-Elements.html)
* [Exercise: Using pivot for Cost Average and Collecting Values](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Using-pivot-for-Cost-Average-and-Collecting-Values.html)
1. [Caching and Persistence](spark-sql-dataset-caching-and-persistence.html)
1. [Windowed Aggregation](spark-sql-windowed-aggregation.html)
* [Exercise: Finding 1st and 2nd Bestsellers Per Genre](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Finding-1st-and-2nd-Bestsellers-Per-Genre.html)
* [Exercise: Calculating Gap Between Current And Highest Salaries Per Department](https://jaceklaskowski.github.io/spark-workshop/exercises/sql/Calculating-Gap-Between-Current-And-Highest-Salaries-Per-Department.html)
* [Exercise: Calculating Running Total / Cumulative Sum](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-sql-exercise-Calculating-Running-Total-Cumulative-Sum.html)
</textarea>
</section>
<section id="day5" data-markdown style="font-size: 90%;">
<textarea data-template>
## Day 5. Spark Structured Streaming
1. [Spark Structured Streaming](spark-structured-streaming.html)
* [Exercise: Streaming CSV Datasets](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-structured-streaming-exercise-Streaming-CSV-Datasets.html)
* [Exercise: Stateless Streaming Aggregation](https://jaceklaskowski.github.io/spark-workshop/exercises/spark-structured-streaming-exercise-Streaming-Aggregation-with-groupBy.html)
1. Discussing various problems and their possible solutions (live coding)
</textarea>
</section>
</section>
<section>
<section id="prerequisities">
<h1>Prerequisities</h1>
<h4>Be prepared to get the most out of the workshop</h4>
</section>
<section id="prerequisities-experience">
<h2>Prerequisities / Experience</h2>
<ol>
<li>Hands-on programming experience using Scala</li>
<li>Experience developing Spark applications</li>
</ol>
</section>
<section id="prerequisities-to-be-installed">
<h2>Prerequisities / To Be Installed</h2>
<ul>
<li><a href="http://www.oracle.com/technetwork/java/javase/downloads/index.html">Java Platform, Standard Edition (Java SE) 8</a></li>
<li><a href="http://spark.apache.org/downloads.html">Apache Spark</a></li>
<li><a href="https://www.jetbrains.com/idea/download/">IntelliJ IDEA</a> Community Edition with <b>Scala plugin</b></li>
<li><a href="http://www.scala-sbt.org/download.html">sbt</a></li>
<li><a href="http://kafka.apache.org/downloads">Apache Kafka</a></li>
<li>Linux or macOS preferred
<ul>
<li>Consult <a href="https://books.japila.pl/apache-spark-internals/apache-spark-internals/2.4.4/spark-tips-and-tricks-running-spark-windows.html">Running Spark Applications on Windows</a> when on MS Windows</li>
</ul>
</li>
</ul>
</section>
</section>
<section>
<section id="in-da-clazz">
<h1>In-Class Preparations</h1>
<h4>Make Instructor's Life Slightly Easier. Thanks!</h4>
</section>
<section id="introduce-yourself">
<h2>Introduce Yourself</h2>
<ol>
<li>First name</li>
<li>What's your experience with Spark?</li>
<li>Any production experience with Spark?</li>
<li>What do you expect from the workshop?</li>
<li>Where do you want to be with Spark after 5 days?</li>
</ol>
</section>
<section id="addendum">
<h2>Addendum</h2>
<ol>
<li>Put your name on paper in front of you
<ul>
<li>Stick to your laptop if possible</li>
<li>Use LARGE fonts</li>
</ul>
</li>
<li>1-hour lunch break at <b>12:45pm</b></li>
</ol>
</section>
</section>
<section style="text-align: left" data-markdown id="questions">
<textarea data-template>
# Questions?
* Read [The Internals of Apache Spark](https://bit.ly/apache-spark-internals)
* Read [The Internals of Spark SQL](https://bit.ly/spark-sql-internals)
* Read [The Internals of Spark Structured Streaming](https://bit.ly/spark-structured-streaming)
* Follow [@jaceklaskowski](https://twitter.com/jaceklaskowski) on twitter
* Upvote [my questions and answers on StackOverflow](http://stackoverflow.com/users/1305344/jacek-laskowski)
</textarea>
</section>
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