Andre Luckow

23 Seguidores

I work with people across organizations, research institutions and industry partners to foster research advances and the adoption of emerging technologies. My speciality is the application of computing technologies, such as Hadoop, Spark and advanced analytics, to problems in business and science bridging cross-functional gaps to create value. I am highly self-motivated, organized and capable of working under pressure. I have a clear, logical mind with a practical approach to problem solving and a drive to see things through to completion.

Actividad
Acerca de

Andre Luckow

Recomendaciones

NLP in Practice - Part I

Human in the loop: a design pattern for managing teams working with ML

Freight Logistics Fundamentals

Bringing HPC Algorithms to Big Data Platforms: Spark Summit East talk by Nikolay Malitsky

Drizzle—Low Latency Execution for Apache Spark: Spark Summit East talk by Shivaram Venkataraman

Artificial Intelligence: How Enterprises Can Crush It With Apache Spark: Keynote by Mike Gualtieri

TensorFrames: Google Tensorflow on Apache Spark

Where should you put your data scientists?

Enterprise Intelligence

ELK: Moose-ively scaling your log system

The How and Why of Feature Engineering

The Future of Real-Time in Spark

Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)

High Performance Processing of Streaming Data

A Swiss Statistician's 'Big Tent' View on Big Data and Data Science (Version 10)

Grace Hopper Conference Opening Keynote

SQL-on-Hadoop Tutorial

Panel: Our Scholarly Recognition System Doesn’t Still Work

LLAP: long-lived execution in Hive

Myria: Analytics-as-a-Service for (Data) Scientists

Apache Flink@ Strata & Hadoop World London

Data-Intensive Scalable Science

Introduction on Data Science

Scaling Ceph at CERN - Ceph Day Frankfurt

Glass' evolution, some suggestions

Advancing Science through Coordinated Cyberinfrastructure

Lessons for the Industrial Internet (pdf with notes)

The Hitchhiker’s Guide to Kaggle

Comet: Making The Web a 2-Way Medium