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Learning ELK Stack

You're reading from   Learning ELK Stack Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785887154
Length 206 pages
Edition 1st Edition
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Author (1):
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Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Toc

Input dataset


For our example, the dataset that we are going to use here is the daily Google (GOOG) Quotes price dataset over a 6 month period from July 1, 2014 to December 31, 2014. This is a good dataset to understand how we can quickly analyze simple datasets, such as these, with ELK.

Note

This dataset can be easily downloaded from the following source:

http://finance.yahoo.com/q/hp?s=GOOG

Data format for input dataset

The most significant fields of this dataset are Date, Open Price, Close Price, High Price, Volume, and Adjusted Price.

The following table shows some of the sample data from the dataset. The actual dataset is in the CSV format.

Date

Open

High

Low

Close

Volume

Adj Close

Dec 31, 2014

531.25

532.60

525.80

526.40

1,368,200

526.40

Dec 30, 2014

528.09

531.15

527.13

530.42

876,300

530.42

Dec 29, 2014

532.19

535.48

530.01

530.33

2,278,500

530.33

Dec 26, 2014

528.77

534.25

527.31

534.03

1,036,000

534.03

Dec 24, 2014

530.51

531.76

527.02

528.77

...
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