Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Strata Data Conference 2-day training courses

All training courses take place 9:00 - 17:00, Monday, 21 May through Tuesday, 22 May. In order to maintain a high level of hands-on learning and instructor interaction, each training is limited in size.

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

Monday, 21 May - Tuesday, 22 May

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9:00 - 17:00 Monday, 21 May & Tuesday, 22 May
SOLD OUT
Location: Capital Suite 1
Behzad Bordbar (Cloudera)
Behzad Bordbar demonstrates how to implement typical data science workflows using Apache Spark. You'll learn how to wrangle and explore data using Spark SQL DataFrames and how to build, evaluate, and tune machine learning models using Spark MLlib. Read more.
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9:00 - 17:00 Monday, 21 May & Tuesday, 22 May
Location: Capital Suite 7
Zachary Glassman (The Data Incubator)
Zachary Glassman offers a foundation in building intelligent business applications using machine learning, walking you through all the steps of developing a machine learning pipeline, from prototyping to production. You'll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend these models into two applications using real-world datasets. Read more.
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9:00 - 17:00 Monday, 21 May & Tuesday, 22 May
Location: Capital Suite 17
Dana Mastropole (The Data Incubator)
The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs. This architecture makes it ideal for implementing neural networks and other machine learning algorithms. Dana Mastropole details TensorFlow's capabilities through its Python interface. Read more.
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9:00 - 17:00 Monday, 21 May & Tuesday, 22 May
Location: Capital Suite 16
Jesse Anderson (Big Data Institute)
Average rating: *****
(5.00, 1 rating)
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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9:00 - 17:00 Monday, 21 May & Tuesday, 22 May
Location: London Suite 2
Jean Innes (ASI Data Science), Matthew Ward (ASI Data Science)
Jean Innes, Matthew Ward, Emanuele Haerens, and Alli Paget lead a condensed introduction to key data science and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization. Read more.