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#ibmedge © 2016 IBM Corporation Session #2442: Flash-Optimized Apache Spark: Expanding In-Memory Analytics into Flash Bernie Wu, Levyx Randy Swanberg, IBM 92116 #ibmedge…
Productionizing your Streaming Jobs Prakash Chockalingam @prakash573 About the speaker: Prakash Chockalingam Prakash is currently a Solutions Architect at Databricks…
Sigmoid Productionizing Demand Forecasting Models Case StudyCASE OVERVIEW for digital consultants across countries and product categories to reduce their manual effort. The
1. Evan Sparks and Ameet Talwalkar UC Berkeley UC Berkeley baseML baseML M ML M 2. Three Converging Trends 3. Big Data Three Converging Trends 4. Distributed…
Click to edit Master text styles Click to edit Master text styles After Dark Real-time Advanced Analytics, Machine Learning, Graph Analytics, Text NLP, and Recommendations…
Matrix Computations and Optimization in Apache Spark Reza Bosagh Zadeh ∗ Stanford and Matroid 475 Via Ortega Stanford CA 94305 rezab@stanfordedu Xiangrui Meng Databricks…
29032020 1 Apache Spark™ is a fast and general-purpose engine for large-scale data processing Spark aims at achieving the following goals in the Big data context…
1. 5 Ways To Make Big Data Production-Ready #BigDataMgmt 2. Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment.…
1. Productionizing Hadoop: 7 Architectural Best Practices Mike Gualtieri, Principal Analyst 2. #BigData 3. © 2013 Forrester Research, Inc. Reproduction Prohibited 7% 13%…
1. Open DataSciCon May 2015 Productionizing Deep Learning From the Ground Up 2. Overview ● What is Deep Learning? ● Why is it hard? ● Problems to think about ● Conclusions…
1. Welcome to Production-izing Hadoop: Lessons LearnedAudio/Telephone: +1 916 233 3087Access Code: 616-465-108Audio PIN: Shown after joining the Webinar 2. Housekeeping•…
1. 5 Ways To Make Big DataProduction-Ready #BigDataMgmt 2. Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment.Join…
Whitepaper - Productionizing Machine Learning Models with ContainersSetting Up Your Model in A Docker Container 6 Orchestrating Your Containers with Kubernetes 8 ! Algorithmia
The Practitioner’s Guide to Productionizing Enterprise Kubernetes Proven Ways to Deal With Common Struggles & Challenges, Based on Production-Grade Deployments
1.Productionizing Hadoop : Lessons LearnedEric Sammer - Solution Architect - Clouderaemail: [email protected]: @esammer, @cloudera2. Starting Out2Copyright 2010…
1. Date Productionizing Spark with Spark Job Server Evan Chan 2. Who am I ✤ Principal Engineer, Socrata, Inc.! ✤ @evanfchan! ✤ http://github.com/velvia! ✤ User…
1. PRODUCTIONIZING DEEP LEARNING FROM THE GROUND UP Adam Gibson O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendatasci 2. Open DataSciCon May 2015 Productionizing…
Productionizing Spark and the Spark REST Job Server Evan Chan Distinguished Engineer @TupleJump Who am I • Distinguished Engineer, Tuplejump • @evanfchan • http://github.com/velvia…
In-Memory Processing with Apache Spark Vincent Leroy Sources • Resilient Distributed Datasets, Henggang Cui • Coursera IntroducBon to Apache Spark, University of…
Lightning Fast Cluster Computing Michast Michael Armbrust - @michaelarmbrust Reflections | Projections 2015 2 What is Apache ? What is Apache ? Fast and general computing…