Event description
Description
IBM is offering a free hands-on lab for clients and practitioners on Apache Spark. This is a full day of education on Spark with hands on exercises instructed in person by Spark experts. The lab will provide a detail overview of Apache Spark. The exercises will be performed on Jupyter notebooks with publicly available datasets. Participants will use IBM’s fully managed free Cloud platform available for educational purposes.
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.
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.
You must bring your own laptop
Full Day Agenda:
8:30am - 9am Breakfast, Socialize
9:00am – 10:00am Kickoff, Apache Spark Overview10:00am – 11:00am Lab 1, Hello Spark - Hand on exercise
11:00 am – 12:00pm Apache Spark SQL Overview
12:00 pm – 1pm Lunch
1pm – 2pm Lab 2, Spark SQL - Hands on exercises
2pm – 3pm Overview of Data Science & Machine Learning w/ Apache Spark
3pm – 4pm Lab 3, Machine Learning w/ Spark – Hands on exercises
4pm – 4:30pm Wrap up – Feedback from attendees
https://www.eventbrite.com/e/hands-on-introduction-to-apache-spark-for-data-engineers-data-scientists-and-developers-tickets-29620358289
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