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会议 > Spark Summit 2015 > The Little Warehouse That Couldn’t, Or How We Learned to Stop Worrying and Move to Spark

会议文档

1
The Little Warehouse That Couldn’t, Or How We Learned to Stop Worrying and Move to Spark
13 p

The Little Warehouse That Couldn’t, Or How We Learned to Stop Worrying and Move to Spark

演讲嘉宾:Yandu Oppacher

2015-09-09 14:56
2
Towards the True Elasticity of Spark
37 p

Towards the True Elasticity of Spark

2015-09-09 14:57
3
Towards Benchmarking Modern Distributed Streaming Systems
30 p

Towards Benchmarking Modern Distributed Streaming Systems

2015-09-09 14:54
4
Perspectives on Big Data & Analytics
14 p

Perspectives on Big Data & Analytics

演讲嘉宾:DOUG WOLFE

2015-09-09 14:58
5
Building a Data Warehouse for Business Analytics using Spark SQL
47 p

Building a Data Warehouse for Business Analytics using Spark SQL

2015-09-09 15:05
6
Data Driven - Toyota Customer 360 Insights on Apache Spark and MLlib
41 p

Data Driven - Toyota Customer 360 Insights on Apache Spark and MLlib

2015-09-09 15:04
7
Deconstructing Recommendations on Spark
14 p

Deconstructing Recommendations on Spark

2015-09-09 15:04
8
BlinkDB and G-OLA Supporting Continuous Answers with Error Bars in SparkSQL
62 p

BlinkDB and G-OLA Supporting Continuous Answers with Error Bars in SparkSQL

2015-09-09 15:05
9
Diagnosing Open-Source Community Health with Spark
39 p

Diagnosing Open-Source Community Health with Spark

2015-09-09 15:04
10
Appraiser How Airbnb Generates Complex Models in Spark for Demand Prediction
35 p

Appraiser How Airbnb Generates Complex Models in Spark for Demand Prediction

2015-09-09 15:06
11
From DataFrames to Tungsten A Peek into Spark´s Future
27 p

From DataFrames to Tungsten A Peek into Spark´s Future

2015-09-09 15:03
pdf The Little Warehouse That Couldn’t, Or How We Learned to Stop Worrying and Move to Spark
Yandu Oppacher · 2015-09-08 16:10
内容格式:PDF
所属会议:Spark Summit 2015
会议地点:美国 旧金山
浏览数: 900 | 收藏数: 3

文档简介

The Little Warehouse That Couldn’t, Or How We Learned to Stop Worrying and Move to Spark|Yandu Oppacher

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