Using PySpark to Process Boat Loads of Data

Using PySpark to Process Boat Loads of Data

Robert Dempsey, CEO Atlantic Dominion Solutions

We’ve mastered three jobs so you can focus on one - growing your business.

The Three JobsAt Atlantic Dominion Solutions we perform three functions for our customers:

Consulting: we assess and advise in the areas of technology, team and process to determine how machine learning can have the biggest impact on your business.

Implementation: after a strategy session to determine the work you need we get to work using our proven methodology and begin delivering smarter applications.

Training: continuous improvement requires continuous learning. We provide both on-premises and online training.

Co-authoring the book Building Machine Learning Pipelines.

Written for software developers and data scientists, Building Machine Learning Pipelines teaches the skills required to create and use the infrastructure needed to run modern intelligent systems.

machinelearningpipelines.com

Writing the Book

Robert Dempsey, CEOSoftware Engineer

Books and online courses

Lotus Guides, District Data Labs

Atlantic Dominion Solutions, LLC

Professional

Author

Instructor

Owner

What You Can Expect Today

MTAC Framework™Mindset

Toolbox

Application

Communication

1. When acquiring knowledge start by going wide instead of deep.

2. Always focus on what's important to people rather than just the technology.

3. Be able to clearly communicate what you know with others.

Core Principles

MTAC Framework™ AppliedMindset: use-case centric example

Toolbox: Python, PySpark, Docker

Application: Code & Analysis

Communication: Q&A

Mindset

Keep It Simple

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Solve the Problem

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Explain It, Simply

Break Through

Use Case

Got Clean Air?

Got Clean Air?• Clean air is important.

• Toxic pollutants are known or suspected of causing cancer, reproductive effects, birth defects, and adverse environmental effects.

Questions to Answer1. Which state has the highest level of pollutants?

2. Which county has the highest level of pollutants?

3. What are the top 5 pollutants by unit of measure?

4. What are the trends of pollutants by state over time?

Toolbox

Python

Spark

The Core of Spark• Computational engine that schedules, distributes and

monitors computational tasks running on a cluster

Higher Level Tools• Spark SQL: SQL and structured data

• MLlib: machine learning

• GraphX: graph processing

• Spark Streaming: process streaming data

Storage• Local file system

• Amazon S3

• Cassandra

• Hive

• HBase

• File formats

• Text files

• Sequence files

• Avro

• Parquet

• Hadoop Input Format

Hadoop?• Not necessary, but…

• If you have multiple nodes you need a resource manager like YARN or Mesos

• You'll need access to distributed storage like HDFS, Amazon S3 or Cassandra

PySpark

What Is PySpark?• An API that exposes the Spark programming model to

Python

• Build on top of Spark's Java API

• Data is processed with Python and cached/shuffled in the JVM

• Driver programs

Driver Programs• Launch parallel operations on a cluster

• Contain application functions

• Define distributed datasets

• Access Spark through a SparkContext

• Uses Py4J to launch a JVM and create a JavaSparkContext

When to Use It• When you need to…

• Process boat loads of data (TB)

• Perform operations that require all the data to be in memory (machine learning)

• Efficiently process streaming data

• Create an overly complicated use case to present at a meetup

Docker

Docker• Software container platform

• Containers are application only (no OS)

• Deployed anywhere with same CPU architecture (x86-64, ARM)

• Available for *nix, Mac, Windows

Container Architecture

Application

PySpark in Data Architectures

Architecture #1

AgentFile

SystemApache Spark

File System

Agent ES

1 2 3

Data Flow

Architecture #2

Data Flow

Agent

1 2 3

Agent

Agent

Athena

S3

S3Apache Spark

Architecture #3

Data Flow

Agent

1 2 3

Agent

Agent

ES

S3

HDFS

Apache Kafka

Apache Spark

HBase

What We’ll Build (Simple)

AgentFile

SystemApache Spark

File System

1 2 3

Data Flow

Python• Analysis

• Visualization

• Code in our Spark jobs

Spark• By using PySpark

PySpark• Process all the data!

• Perform aggregations

Docker• Run Spark in a Docker container.

• So you don’t have to install anything.

Code Time!

README• https://github.com/rdempsey/pyspark-for-data-processing

• Create a virtual environment (Anaconda)

• Install dependencies

• Run docker-compose to create the Spark containers

• Run a script (or all of them!) per the README

Dive In• Data explorer notebook

• Q1 - Most polluted state

• Q2 - Most polluted county

• Q3 - Top pollutants by unit of measure

• Q4 - Pollutants over time

Communication

Q&A

Early Bird Specials!

Intro to Data Science for Software Engineers

Goes live October 23, 2017

Normally: $97

Pre-Launch: $47

http://lotusguides.com

Where to Find MeWebsite

Lotus Guides

LinkedIn

Twitter

Github

robertwdempsey.com

lotusguides.com

robertwdempsey

rdempsey

rdempsey

Thank You!