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

Schedule

< Filters

No Results Found

Clear all filters

Close

Filters

      Clear filters
      1A 15/16/17
      Add Apache Spark for machine learning and data science to your personal schedule
      9:00am SOLD OUT Apache Spark for machine learning and data science Joseph Kambourakis (Databricks)
      1A 04/05
      Add Cloudera big data architecture workshop to your personal schedule
      9:00am SOLD OUT Cloudera big data architecture workshop Bruce Martin (Cloudera)
      1A 01/02
      Add Machine learning with TensorFlow to your personal schedule
      9:00am SOLD OUT Machine learning with TensorFlow Dana Mastropole (The Data Incubator), Michael Li (The Data Incubator)
      1A 03
      Add Real-time systems with Spark Streaming and Kafka to your personal schedule
      9:00am SOLD OUT Real-time systems with Spark Streaming and Kafka Jesse Anderson (Big Data Institute)
      10:30am Morning break | Room: Break
      3:00pm Afternoon break | Room: Break
      12:30pm Lunch | Room: 3A
      9:00am-5:00pm (8h) Machine Learning & Data Science, Spark & beyond Streaming
      Apache Spark for machine learning and data science
      Joseph Kambourakis (Databricks)
      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.
      9:00am-5:00pm (8h) Data engineering Architecture, Cloud
      Cloudera big data architecture workshop
      Bruce Martin (Cloudera)
      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.
      9:00am-5:00pm (8h) Machine Learning & Data Science Deep learning
      Machine learning with TensorFlow
      Dana Mastropole (The Data Incubator), Michael Li (The Data Incubator)
      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.
      9:00am-5:00pm (8h) Big data and the Cloud, Stream processing and analytics Architecture, Cloud, Streaming
      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.
      10:30am-11:00am (30m)
      Break: Morning break
      3:00pm-3:30pm (30m)
      Break: Afternoon break
      12:30pm-1:30pm (1h)
      Break: Lunch