Apache: Big Data 2016 has ended

Create Your Own Event

Apache: Big Data 2016

Register Now or Visit the Website for more Information

#1

Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka, Spark Streaming, Spark ML, Spark SQL - Chr

#2

Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM

#3

Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH

#4

Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain

#5

Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs

#6

Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH

#7

Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.

#8

On the Fly Retraining of Predictive Analytical Models Using Spark Streaming: An Equity-price Direction Prediction Case Study - Tijl Carpels, Ghent University

#9

Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH

#10

Spark Cyborgs - Deep Integration of Spark with Parallel Relational Engines - Torsten Steinbach & Gustavo Arocena, IBM

#11

Secure Spark Shuffle: A Fast and Convenient Approach Using Chimera - Cheng Xu, Intel