Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

2-day training courses

All training courses take place 9:00am - 5:00pm, Monday, September 25 through Tuesday, September 26. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size.

Participants should plan to attend both days of this 2-day training course. Training passes do not include access to tutorials on Tuesday.

Monday, September 25 - Tuesday, September 26

Add to your personal schedule
9:00am - 5:00pm Monday, September 25 & Tuesday, September 26
Location: 1A 04/05
Secondary topics:  Architecture, Cloud
SOLD OUT
Bruce Martin (Cloudera)
Average rating: *....
(1.50, 2 ratings)
Bruce Martin leads you through designing and architecting solutions to a challenging business problem. You'll explore big data application architecture concepts in general and then apply them to the design of a challenging system. Read more.
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9:00am - 5:00pm Monday, September 25 & Tuesday, September 26
Location: 1A 03
Secondary topics:  Architecture, Cloud, Streaming
SOLD OUT
Jesse Anderson (Big Data Institute)
To handle real-time big data, you need to solve two difficult problems: how do you ingest that much data and how will you process that much data? Jesse Anderson explores the latest real-time frameworks (both open source and managed cloud services), discusses the leading cloud providers, and explains how to choose the right one for your company. Read more.
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9:00am - 5:00pm Monday, September 25 & Tuesday, September 26
Location: 1A 01/02
Secondary topics:  Deep learning
SOLD OUT
Dana Mastropole (The Data Incubator)
Average rating: **...
(2.50, 2 ratings)
Dana Mastropole and Michael Li demonstrate TensorFlow's capabilities through its Python interface and explore TFLearn, a high-level deep learning library built on TensorFlow. Join in to learn how to use TFLearn and TensorFlow to build machine learning models on real-world data. Read more.
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9:00am - 5:00pm Monday, September 25 & Tuesday, September 26
Location: 1A 15/16/17
Secondary topics:  Streaming
SOLD OUT
Joseph Kambourakis (Databricks)
Average rating: *****
(5.00, 1 rating)
Joseph Kambourakis walks you through using Apache Spark to perform exploratory data analysis (EDA), developing machine learning pipelines, and using the APIs and algorithms available in the Spark MLlib DataFrames API. Read more.