Data Skeptic

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

Jul 7, 2014

49:59

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Highlights

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Episode notes

The Big Data Startups Open Source Landscape 2.0

03:56

SQL Server Oracle

02:19

Is Hortonworks 100% Apache Open Source?

03:33

Introduction

3min

SEO Plays

2min

How to Get the Best Rates for Seagate Hard Drives

4min

Is Cascade Cask Kafka a Good Solution?

6min

AWS AWS - Is This an Ad or a Delete?

2min

Is There a Way to Scale Up Your SLAs?

5min

The Big Data Startups Open Source Landscape 2.0

4min

SQL Server Oracle

2min

Is Hortonworks 100% Apache Open Source?

4min

10.

Is Redis Really a Full Stack Data Scientist?

3min

11.

Data Is Only as Good as the Decision It Helps You Make

6min

12.

Is There a Heuristic for Distributed Systems?

5min

13.

How Do You Reduce a Book?

1min

14.

MapReduce Is a Divide and Conquerors

3min

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.