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Intro to Apache Spark - Hands On

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Intro to Apache Spark - Hands On

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IBM’s Hands on Introduction to Apache Spark for Data Engineers, Data Scientist and Developers

Please join us for a free IBM sponsored proof of technology for clients and practitioners on Apache Spark. This is a full day of education on Apache Spark with hands on exercises instructed in person by Apache Spark experts. The POT will provide a detailed overview of Apache Spark and Data Science methodology. The Lab will be performed using open source notebooks (Jupyter and/or Zeppelin) on publicly available datasets. Participants will use IBM’s fully managed Apache Spark Cloud platform available for educational purposes.

PLEASE NOTE - SEATS ARE LIMITED. IN ORDER TO CONFIRM YOUR SEAT, YOU MUST REGISTER HERE:

Apache Spark - June 21st

Who should go:

Anyone interested in learning more about Apache Spark

Prerequisite:
A working knowledge of Coding (Preferred Python and/or Scala), understand distributed computing, Spark and SQL

What to expect:
Expect to spend a full day of lecture and hands on exercises attacking real-world data challenges using Apache Spark. In 8 hours you will learn the basic essentials of Apache Spark and why it's important to your organization. This workshop will focus on data wrangling and machine learning.

Full Day Agenda:
8:30am - 9:00am - Breakfast, Socialize
9:00am - 9:30 am - Apache Spark & IBM
9:30am - 10:30am - Apache Spark Overview
10:30am - 11:30am - Lab 1, Hello Spark - Hands-on exercise
11:30am - 12:00pm - Apache Spark SQL Overview
12:00pm - 1:00pm - Lunch
1:00pm - 2:00pm - Lab 2, Spark SQL - Hands-on exercise
2:00pm - 3:00pm - Overview of Data Science & Machine Learning w/Apache Spark
3:00pm - 4:00pm - Lab 3, Machine Learning w/Apache Spark - Hands on exercise
4:00pm - 4:30 pm - Wrap-up - Feedback from attendees

Join us for an optional happy hour from 5:00pm – 6:30pm.

Registration:

Seats are limited, register today to reserve your spot!

https://www.eventbrite.com/e/ibm-analytics-hands-on-apache-spark-workshop-tickets-25801043616

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