Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
 
212 A-B
Add Apache Spark programming to your personal schedule
9:00am Apache Spark programming Brooke Wenig (Databricks)
212 C
Add Data science and machine learning with Apache Spark to your personal schedule
9:00am Data science and machine learning with Apache Spark Brian Bloechle (Cloudera), Glynn Durham (Cloudera)
212 D
Add Data science for managers to your personal schedule
9:00am Data science for managers Angie Ma (ASI), Maria Diaz (ASI Data Science)
111
Add Machine learning with PyTorch to your personal schedule
9:00am Machine learning with PyTorch Delip Rao (R7 Speech Science), Brian McMahan (Joostware)
114
Add Real-time systems with Spark Streaming and Kafka to your personal schedule
9:00am Real-time systems with Spark Streaming and Kafka Jesse Anderson (Big Data Institute)
San Jose Ballroom (salon 1&2), Marriott
Add Machine learning with TensorFlow to your personal schedule
9:00am Machine learning with TensorFlow Robert Schroll (The Data Incubator)
Willow Glen (1&2), Marriott
Add Hands-on data science with Python to your personal schedule
9:00am Hands-on data science with Python Zachary Glassman (The Data Incubator)
10:30am Morning break | Room: Executive Concourse
3:00pm Afternoon break | Room: Executive Concourse
12:30pm Lunch | Room: The Hub
Add Strata Dine-Around to your personal schedule
7:00pm Strata Dine-Around | Room: Various locations
9:00am-5:00pm (8h) Data science and machine learning
Apache Spark programming
Brooke Wenig (Databricks)
Brooke Wenig walks you through the core APIs for using Spark, fundamental mechanisms and basic internals of the framework, SQL and other high-level data access tools, and Spark’s streaming capabilities and machine learning APIs.
9:00am-5:00pm (8h) Data science and machine learning
Data science and machine learning with Apache Spark
Brian Bloechle (Cloudera), Glynn Durham (Cloudera)
Brian Bloechle 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.
9:00am-5:00pm (8h) Strata Business Summit
Data science for managers
Angie Ma (ASI), Maria Diaz (ASI Data Science)
Angie Ma offers 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.
9:00am-5:00pm (8h) Data science and machine learning
Machine learning with PyTorch
Delip Rao (R7 Speech Science), Brian McMahan (Joostware)
PyTorch is a recent deep learning framework from Facebook that is gaining massive momentum in the deep learning community. Its fundamentally flexible design makes building and debugging models straightforward, simple, and fun. Delip Rao and Brian McMahan walk you through PyTorch's capabilities and demonstrate how to use PyTorch to build deep learning models and apply them to real-world problems.
9:00am-5:00pm (8h) Big data and data science in the cloud, Data engineering and architecture
Real-time systems with Spark Streaming and Kafka
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.
9:00am-5:00pm (8h) Data science and machine learning
Machine learning with TensorFlow
Robert Schroll (The Data Incubator)
The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs, making it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll demonstrates TensorFlow's capabilities and walks you through building machine learning models on real-world data.
9:00am-5:00pm (8h) Data science and machine learning
Hands-on data science with Python
Zachary Glassman (The Data Incubator)
Zachary Glassman demonstrates how to build intelligent business applications using machine learning, taking you through each step in developing a machine learning pipeline, from prototyping to production. You'll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend your knowledge by building two applications from real-world datasets.
10:30am-11:00am (30m)
Break: Morning break
3:00pm-3:30pm (30m)
Break: Afternoon break
12:30pm-1:30pm (1h)
Break: Lunch
7:00pm-10:00pm (3h)
Strata Dine-Around
Get to know your fellow attendees over dinner. We've made reservations for you at some of the most sought-after restaurants in town. This is a great chance to make new connections and sample some of the great cuisine San Jose has to offer.