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The Right (big data) Tool for the Job with Jay Shankar

Jul 7, 2014
49:59
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1
Introduction
00:00 • 3min
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2
SEO Plays
03:05 • 2min
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3
How to Get the Best Rates for Seagate Hard Drives
05:14 • 4min
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4
Is Cascade Cask Kafka a Good Solution?
09:27 • 6min
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5
AWS AWS - Is This an Ad or a Delete?
15:17 • 2min
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6
Is There a Way to Scale Up Your SLAs?
17:07 • 5min
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7
The Big Data Startups Open Source Landscape 2.0
22:27 • 4min
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8
SQL Server Oracle
26:23 • 2min
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9
Is Hortonworks 100% Apache Open Source?
28:41 • 4min
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10
Is Redis Really a Full Stack Data Scientist?
32:15 • 3min
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11
Data Is Only as Good as the Decision It Helps You Make
34:58 • 6min
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12
Is There a Heuristic for Distributed Systems?
40:36 • 5min
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13
How Do You Reduce a Book?
45:17 • 1min
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14
MapReduce Is a Divide and Conquerors
46:47 • 3min
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In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar.  The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide array of tools available.

 

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