Visualize some of Austin's open source data using Elasticsearch with Kibana. ObjectRocket's Steve Croce presented this talk on 10/13/17 at the DBaaS event in Austin, TX.

1. www.objectrocket.com
An Intro to Elasticsearch
and Kibana
Visualizing Austin’s Data

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You Know, for Search
What is Elasticsearch: A distributed, real-time, document store / search engine
It easily scales to
hundreds of servers
and TBs of data
Data is searchable as
it is added
Less strict schema
or SQL-like rigidity.
Very JSONified
Best full text search
capabilities of any
technology in this space
● In Top 10 Databases by DB-Engines
● Used by customers across industries: Facebook, Uber, Tinder,
Yelp, ebay, Dell, Cisco, The Home Depot, etc.
● WHY?
○ Easy to Bootstrap
○ Multiple Use Cases
○ Community / Ecosystem
○ Compatibility / JSON RESTful

3. www.objectrocket.com
X-Pack ($$$)
Security
Alerting
Monitoring
Graph
Machine Learning
Kibana (FOSS)
GUI
Data Visualization
Dashboards
Elasticsearch (FOSS)
Storage
Indexing
Search
Cluster Management
Logstash (FOSS)
Extract / Transform
/ Load - and More
The Elastic Stack / Ecosystem
Beats (FOSS)
Lightweights apps
to ship data
FOSS = Free Open Source Software
FileBeat
MetricBeat
HeartBeat
PacketBeat
WinlogBeat
Curator (FOSS)
Index maintenance

4. www.objectrocket.com
Where can you use it?
● Mongo / CouchDB / MySQL / PostgreSQL / Kafka shop?
○ Use Elasticsearch/Kibana to visualize your data
○ Logstash + jdbc input plugin can sync from any compatible DB
○ Try our MongoDB->Elasticsearch connector (Beta)
● Hadoop shop?
○ Use Elasticsearch to add search and viz to your Hadoop data
○ Elasticsearch-Hadoop and other tools can make this easier
● Has servers of any kind shop?
○ Use Elasticsearch for log and metrics analysis and visualization
○ Filebeat / Winlogbeat make log ingest easy
○ Metricbeat / Packetbeat / Heartbeat for metrics management

5. www.objectrocket.com
Sample Datasets for today
Austin Restaurant Inspections (2013-2017)
Sourced from data.austintexas.gov
Rideaustin data (June 2016 - April 2017)
Sourced from data.world

6. www.objectrocket.com
Our Stack
FileBeat Elasticsearch &
Ingest Pipelines
.csv files
Kibana
Using open source
map tiles from
maps.stamen.com
This flow is mostly documented in the following blog:
https://www.objectrocket.com/blog/how-to/elasticsearch-ingest-csv

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Document Example
Meta-Fields
● _index : What index is it in
● _type: document type
● _id: Unique document identifier
● _score: Computed relevance to
search
Document “Body”
● Holds whatever fields you create
● Data type is defined by mapping
● Data types include
○ Simple: booleans, numerics, dates
○ Geographic: points and shapes
○ Text: analyzed and non-analyzed
○ Special: IPs, range, percolator

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8
API
Query
Structure
API Endpoint
Query
Filter
Bucket Aggregation
Metric Aggregation

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Demo

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Discover

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Visualization

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Inspections Dashboard

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Rideaustin Dashboard

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Rideaustin - ABIA Pick-ups/Drop-offs
<Pickups
Dropoffs>

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Rideaustin - Driver Metrics