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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Apache Spark 2 Workshop Agenda (4 days)</title>
<meta name="description" content="Apache Spark 2 Workshop Agenda (4 days)">
<meta name="author" content="Jacek Laskowski">
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<div class="reveal">
<div class="slides">
<div class="footer">
<small>Copyright ©2017 Jacek Laskowski</small>
</div>
<section class="intro" data-transition="zoom">
<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">
<img width="8%" src="images/jacek_laskowski_20141201_512px.png" style="border: 0">
</p>
<h1>Apache Spark 2 Workshop <small>4 days</small></h1>
<h4><a href="https://twitter.com/jaceklaskowski">@jaceklaskowski</a> / <a href="http://stackoverflow.com/users/1305344/jacek-laskowski">StackOverflow</a> / <a href="https://github.com/jaceklaskowski">GitHub</a><br />
Gitbooks: <a href="http://bit.ly/mastering-apache-spark">Mastering Apache Spark</a> / <a href="http://bit.ly/spark-structured-streaming">Spark Structured Streaming</a></h4>
</section>
<section>
<section id="about-the-host">
<p>
<img width="15%" src="images/jacek_laskowski_20141201_512px.png" style="border: 0">
</p>
<ul>
<li><b>Jacek Laskowski</b> is an independent consultant
<ul>
<li>Specializing in Spark, Kafka, Mesos, DC/OS, Scala</li>
</ul>
</li>
<li>Among contributors to <a href="http://spark.apache.org/releases/spark-release-2-1-0.html#credits">Spark 2.1</a>, <a href="http://spark.apache.org/releases/spark-release-2-0-0.html#credits">Spark 2.0</a> (since <a href="http://spark.apache.org/releases/spark-release-1-6-0.html#credits">1.6.0</a>)</li>
<li>Contact me at <b>jacek@japila.pl</b> or follow me on twitter at <a href="https://twitter.com/jaceklaskowski">@JacekLaskowski</a> <-- and learn more Spark!</li>
<li>Delivering Development Services | Consulting | Training</li>
<li>Leader of <a href="http://warsawscala.pl">Warsaw Scala Enthusiasts</a> and <a href="http://www.meetup.com/Warsaw-Spark/">Warsaw Apache Spark</a></li>
<li><a href="https://java.net/website/java-champions/bios.html#Laskowski">Java Champion</a></li>
</ul>
</section>
<section id="about-github">
<p>
<a href="https://github.com/jaceklaskowski">https://github.com/jaceklaskowski</a>
</p>
<p>
<img width="70%" src="images/jaceklaskowski-github-stats.png" style="border: 0">
</p>
</section>
<section id="about-notes">
<p>
<a href="https://bit.ly/mastering-apache-spark">https://bit.ly/mastering-apache-spark</a>
</p>
<p>
<img src="images/jaceklaskowski-gitbook-stats.png" style="border: 0">
</p>
</section>
<section id="github-spark-contributors">
<p>
<a href="https://github.com/apache/spark/graphs/contributors">Ranked #91 in Spark contributors</a>
</p>
<p>
<img width="100%" src="images/jaceklaskowski-github-spark-stats.png" style="border: 0">
</p>
</section>
<section id="about-stackoverflow">
<p>
<a href="https://stackoverflow.com/tags/apache-spark/topusers">https://stackoverflow.com/tags/apache-spark/topusers</a>
</p>
<p>
<img width="45%" src="images/jaceklaskowski-stackoverflow-stats.png" style="border: 0">
</p>
</section>
<section id="about-twitter">
<p>
<a href="https://twitter.com/jaceklaskowski">https://twitter.com/jaceklaskowski</a>
</p>
<p>
<img width="90%" src="images/jaceklaskowski-twitter-stats.png" style="border: 0">
</p>
</section>
</section>
<section>
<section id="goal" data-markdown>
<script type="text/template">
## Goal
<p>
Developing hands-on experience in<br/>
<b>Spark SQL</b>, <b>Structured Streaming</b>, <b>Spark MLlib</b><br />
<b>Spark Streaming</b>, <b>Apache Kafka</b> and <b>Scala</b><br />
to exploit massive datasets <br />
for advanced analytics and data-oriented decision making
</p>
</script>
</section>
<section id="objectives" data-markdown>
<script type="text/template">
## Learning Objectives
After completing the class, you should be able to:
1. Write **Scala applications** with **Scala Collection API**
1. Define business models using **case classes**
1. Use **Spark SQL** effectively
1. Run streaming pipelines using **Structured Streaming**
1. Read datasets from and write to **Apache Kafka**
1. Explain architecture of Apache Spark
1. Use **Spark MLlib** for predictions and classifications
1. and many many more…
</script>
</section>
</section>
<section id="agenda">
<h2>Agenda</h2>
<ul>
<li><a href="#/day1a">Day 1a</a> — <b>Just Enough Scala and Tools (sbt, IntelliJ IDEA)</b></li>
<li><a href="#/day1b">Day 1b</a> — <b>Spark SQL and Tools (spark-shell, Databricks)</b></li>
<li><a href="#/day2">Day 2</a> — <b>Advanced Spark SQL</b></li>
<li><a href="#/day3a">Day 3a</a> — <b>Spark Architecture and Core Concepts</b></li>
<li><a href="#/day3b">Day 3b</a> — <b>Monitoring using web UI</b></li>
<li><a href="#/day3c">Day 3c</a> — <b>Spark Streaming + Kafka</b></li>
<li><a href="#/day4a">Day 4a</a> — <b>Structured Streaming (Kafka, files)</b></li>
<li><a href="#/day4b">Day 4b</a> — <b>Spark MLlib</b></li>
</ul>
</section>
<section>
<section id="day1a" data-markdown>
<script type="text/template">
## Day 1A — Just Enough Scala and Tools (sbt, IntelliJ IDEA)
1. Spark Installation
* [Running Spark Applications on Windows](https://books.japila.pl/apache-spark-internals/apache-spark-internals/2.4.4/spark-tips-and-tricks-running-spark-windows.html)
1. [Scala — Just Enough for Apache Spark](https://jaceklaskowski.github.io/spark-workshop/slides/02_scala.html) (with spark-shell)
1. My First Scala Standalone Application
* IntelliJ IDEA
* sbt package
* spark-submit
</script>
</section>
<section id="day1b" data-markdown>
<script type="text/template">
## Day 1B — Spark SQL and Tools (spark-shell, Databricks)
1. [Spark SQL](https://jaceklaskowski.github.io/spark-workshop/slides/spark-sql.html)
1. [Columns and Dataset Operators](https://jaceklaskowski.github.io/spark-workshop/slides/spark-sql-columns-and-dataset-operators.html)
1. [Standard and User-Defined Functions](https://jaceklaskowski.github.io/spark-workshop/slides/spark-sql-standard-functions-udfs.html)
1. [Basic Aggregation](https://jaceklaskowski.github.io/spark-workshop/slides/spark-sql-basic-aggregation.html)
</script>
</section>
</section>
<section id="day2" data-markdown>
<script type="text/template">
## Day 2 — Advanced Spark SQL
1. [Windowed Aggregation](spark-sql-windowed-aggregation.html)
1. [Multi-Dimensional Aggregation](spark-sql-multi-dimensional-aggregation.html)
1. [The Internals of Structured Query Execution](spark-sql-internals-of-structured-query-execution.html)
</script>
</section>
<section>
<section id="day3a" data-markdown>
<script type="text/template">
## Day 3A — Spark Architecture and Core Concepts
1. [The Core of Apache Spark](spark-core.html)
1. [Spark and Cluster Managers](spark-core-spark-and-cluster-managers.html)
</script>
</section>
<section id="day3b" data-markdown>
<script type="text/template">
## Day 3B — Monitoring using web UI
1. [web UI](https://jaceklaskowski.github.io/spark-workshop/slides/spark-core-webui.html)
</script>
</section>
<section id="day3c" data-markdown>
<script type="text/template">
## Day 3c — Spark Streaming + Kafka
1. [Spark Streaming](https://jaceklaskowski.github.io/spark-workshop/slides/04_spark_streaming.html)
1. [The Elements of Apache Kafka](https://jaceklaskowski.github.io/kafka-workshop/slides/04-apache-kafka.html)
</script>
</section>
</section>
<section>
<section id="day4a" data-markdown>
<script type="text/template">
## Day 4a — Structured Streaming (Kafka, files)
1. [Structured Streaming](https://jaceklaskowski.github.io/spark-workshop/slides/spark-structured-streaming.html)
</script>
</section>
<section id="day4b" data-markdown>
<script type="text/template">
## Day 4b — Spark MLlib
1. [Machine Learning with Spark MLlib](spark-mllib.html)
1. [ML Pipelines](spark-mllib-ml-pipelines.html)
</script>
</section>
</section>
<section>
<section id="coursera" data-markdown>
<script type="text/template">
<p>
<a href="https://www.coursera.org/learn/scala-spark-big-data">https://www.coursera.org/learn/scala-spark-big-data</a>
</p>
<p>
<img width="80%" src="images/coursera-bigdata-analysis-scala-spark.png"
alt="Big Data Analysis with Scala and Spark" style="border: 0"/>
</p>
</script>
</section>
<section>
<p>
Mastering Apache Spark notebook featured in the Big Data course at Coursera!
</p>
<p>
<img width="90%" src="images/coursera-spark-mastering-apache-spark.png"
alt="Mastering Apache Spark featured in Big Data course at Coursera" style="border: 0"/>
</p>
</section>
</section>
<section>
<section id="prerequisities">
<h2>Prerequisities (1 of 3)</h2>
<ol>
<li>Some programming experience using modern programming language, e.g. Scala, Python, Java, F#</li>
</ol>
</section>
<section>
<h2>Prerequisities (2 of 3)</h2>
<ol>
<li>Installed
<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="https://www.jetbrains.com/idea/download/">IntelliJ IDEA</a> Community Edition with <a href="https://plugins.jetbrains.com/idea/plugin/1347-scala">Scala plugin</a></li>
<li><a href="http://www.scala-sbt.org/download.html">sbt</a></li>
<li><a href="https://www.postgresql.org/download/">PostgreSQL</a></li>
<li><a href="http://kafka.apache.org/downloads">Apache Kafka</a></li>
<li><a href="https://archive.apache.org/dist/hadoop/common/hadoop-2.7.3/">Apache Hadoop 2.7.3</a> (not <strike>Hadoop 3.0.0-alpha2</strike>)</li>
</ul>
</li>
</ol>
</section>
<section>
<h2>Prerequisities (3 of 3)</h2>
<ol>
<li>Downloaded
<ul>
<li><a href="https://spark.apache.org/downloads.html">Apache Spark</a></li>
<li><a href="https://jdbc.postgresql.org/">PostgreSQL JDBC Driver</a></li>
</ul>
</li>
</ol>
</section>
</section>
<section id="questions" style="text-align: left">
<h1>Questions?</h1>
<p>
<ul>
<li>Read <a href="https://bit.ly/mastering-apache-spark">Mastering Apache Spark 2</a>
<ul>
<li><a href="https://bit.ly/mastering-apache-spark">https://bit.ly/mastering-apache-spark</a></li>
</ul>
</li>
<li>Follow <a href="https://twitter.com/jaceklaskowski">@jaceklaskowski</a> on twitter</li>
<li>Upvote <a href="http://stackoverflow.com/users/1305344/jacek-laskowski">my questions and answers on StackOverflow</a></li>
<li>Use <a href="https://github.com/jaceklaskowski">Jacek's code at GitHub</a></li>
<li>Read <a href="https://medium.com/@jaceklaskowski">blog posts on Medium</a></li>
<li>Upvote <a href="https://www.quora.com/profile/Jacek-Laskowski">my answers on Quora</a></li>
<li>Connect on <a href="https://www.linkedin.com/in/jaceklaskowski/">LinkedIn</a></li>
<li>Visit <a href="https://blog.jaceklaskowski.pl">Jacek Laskowski's blog</a></li>
</ul>
</p>
</section>
</div>
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