Index
A
- Amazon EMR
- about / An introduction to Amazon EMR and S3, Amazon EMR
- advantages / The advantages of EMR and S3
- Amazon EMR cluster
- setting up / Setting up an Amazon EMR cluster
- Amazon S3
- about / Amazon S3
- as data provider / S3 as a data provider for Hunk
- advantages / The advantages of EMR and S3
B
- big data analytics
- about / Big data analytics
- challenges / The big problem
- solution / The elegant solution
- supporting SPL / Supporting SPL
- intermediate results / Intermediate results
- big data performance issues
- about / Big data performance issues
- big data use case
- about / Big data use case
- data, importing from RDBMS to Hadoop with Sqoop / Importing data from RDBMS to Hadoop using Sqoop
- telecommunications / Telecommunications – SMS, Call, and Internet dataset from dandelion.eu
- Milano grid map / Milano grid map
- CDR aggregated data import process / CDR aggregated data import process
- periodical data import, from MySQL / Periodical data import from MySQL using Sqoop and Oozie
- problems to solve / Problems to solve
- BYOL method, for Hunk integration with EMR and S3
- about / Method 1: BYOL
- Hunk AMI, setting up / Setting up the Hunk AMI
- license, adding / Adding a license
- data provider, configuring / Configuring the data provider
- virtual index, configuring / Configuring a virtual index
- provider, setting up / Setting up a provider and virtual index in the configuration file
- virtual index, setting up / Setting up a provider and virtual index in the configuration file
- data, exploring / Exploring data
C
- calculated field
- about / Calculated fields
- creating / Calculated fields
- computation models
- about / Computation models
- data streaming / Data streaming
- data reporting / Data reporting
- mixed mode / Mixed mode
- constraint
- about / Data model
- custom Google Maps
- about / Custom Google Maps
- page layout / Page layout
- linear gradients / Linear gradients and bins for the activity value
- bins / Linear gradients and bins for the activity value
- custom map components
- about / Custom map components
D
- dashboard customization
- Splunk Web Framework used / Dashboard customization using Splunk Web Framework
- data
- exploring / Exploring data
- reports, creating / The top five browsers report
- alerts, creating / Creating alerts
- dashboard, creating / Creating a dashboard
- data model
- about / Data model
- creating / Data model
- auto-extracting fields, adding / Add auto-extracting fields
- GeoIP attributes, adding / Adding GeoIP attributes
- attributes, adding / Other ways to add attributes
E
- eval expression
- about / Other ways to add attributes
- reference / Other ways to add attributes
- events
- counting, in all collections / Counting events in all collections
- counting, in shops for observed days / Counting events in shops for observed days
- event type
- about / Event type
- External Result Provider (ERP)
- about / External result provider
- reference / External result provider
F
- field aliases
- about / Field aliases
- creating / Field aliases
- field extractions
- about / Field extractions
H
- Hadoop, setting up
- about / Setting up Hadoop
- virtual machine, starting with CDH5 / Starting and using a virtual machine with CDH5
- virtual machine, using with CDH5 / Starting and using a virtual machine with CDH5
- ssh user / SSH user
- MySQL / MySQL
- Hive Metastore / MySQL
- Hunk
- about / Getting to know Hunk
- capabilities / Getting to know Hunk
- comparing, with Splunk / Splunk versus Hunk
- setting up / Setting up Hunk
- extracting, to VM / Extracting Hunk to a VM
- variables and configuration files, setting up / Setting up Hunk variables and configuration files
- running / Running Hunk for the first time
- data provider, setting up for CDR data / Setting up a data provider and virtual index for CDR data
- virtual index, setting up for CDR data / Setting up a data provider and virtual index for CDR data
- connection to Hadoop, setting up / Setting up a connection to Hadoop
- virtual index, setting up for data stored in Hadoop / Setting up a virtual index for data stored in Hadoop
- data, accessing through virtual index / Accessing data through a virtual index
- converting, from hourly rate to license / Converting Hunk from an hourly rate to a license
- Hunk-hourly pricing method
- about / Method 2: Hunk–hourly pricing
- Hunk instance, provisioning with Cloud formation template / Provisioning a Hunk instance using the Cloud formation template
- Hunk instance, provisioning with EC2 Console / Provisioning a Hunk instance using the EC2 Console
- Hunk accelerations limits
- about / Hunk accelerations limits
- Hunk architecture
- about / Hunk architecture
- connecting, to Hadoop / Connecting to Hadoop
- advance Hunk deployment / Advance Hunk deployment
- native, versus virtual indexes / Native versus virtual indexes
- native indexes / Native indexes
- virtual index / Virtual index
- External Result Provider (ERP) / External result provider
- computation models / Computation models
- Hunk integration, with EMR and S3
- about / Integrating Hunk with EMR and S3
- BYOL method / Method 1: BYOL
- Hunk-hourly pricing method / Method 2: Hunk–hourly pricing
- Hunk report acceleration
- about / Hunk report acceleration
- virtual index, creating / Creating a virtual index
- streaming mode / Streaming mode
- acceleration search, creating / Creating an acceleration search, What's going on in Hadoop?
- summaries / Report acceleration summaries
- summaries, reviewing / Reviewing summary details
- managing / Managing report accelerations
- Hunk security
- about / Hunk security
- one Hunk user to one Hadoop user / One Hunk user to one Hadoop user
- many Hunk users to one Hadoop user / Many Hunk users to one Hadoop user
- Hunk user(s) to the same Hadoop user with different queues / Hunk user(s) to the same Hadoop user with different queues
I
- implementation
- visualization, querying / Querying the visualization
- application, downloading / Downloading the application
- custom Google Maps / Custom Google Maps
- Interactive Field Extractor (IFX) / Field extractions
K
- knowledge objects
- working with / Knowledge objects
- field aliases / Field aliases
- calculated fields / Calculated fields
- field extractions / Field extractions
- tags / Tags
- event type / Event type
- workflow actions / Workflow actions
- macros / Macros
- data model / Data model
L
- load balancer (LB) / Advance Hunk deployment
- lookup
- about / Other ways to add attributes
- reference / Other ways to add attributes
M
- macros
- Mongo
- about / What is Mongo?
- installation / Installation
- virtual index, creating / Creating a virtual index
- data, inputting from recommendation engine backend / Inputting data from the recommendation engine backend
- data schemas / Data schemas
- data mechanics / Data mechanics
- Mongo app
- installing / Installing the Mongo app
- Mongo provider
- about / Mongo provider
- settings / Mongo provider
N
- native indexes
- about / Native indexes
O
- Oozie / MySQL
P
- pivot
- about / Data model, Introducing Pivot
- pivot UI
- about / Introducing Pivot
R
- regular expression
- about / Other ways to add attributes
- reference / Other ways to add attributes
- reports
- top-5-browser report / The top five browsers report
- creating / The top five browsers report
- top referrers / Top referrers
- site errors report / Site errors report
- resource provider / External result provider
S
- search heads
- reference / Hunk report acceleration
- SearchManager component
- about / Other components
- security, controlling with Hunk
- about / Controlling security with Hunk
- data security / Controlling security with Hunk
- default Hadoop security / The default Hadoop security
- Hunk user to Hadoop user / One Hunk user to one Hadoop user
- shop
- counting by, in single collection / Counting by shop in a single collection
- single point of failure (SPOF) / MySQL
- Splunk SDK
- about / What we are going to do with the Splunk SDK
- supported languages / Supported languages
- problems to solve / Solving problems
- REST API / REST API
- implementation plan / The implementation plan
- conclusion / The conclusion
- Storage Service (S3)
T
- tags
- time-series aggregated CDR data
- about / A description of time-series aggregated CDR data
- description / A description of time-series aggregated CDR data
- Square ID / A description of time-series aggregated CDR data
- time interval / A description of time-series aggregated CDR data
- country code / A description of time-series aggregated CDR data
- SMS-in activity / A description of time-series aggregated CDR data
- SMS-out activity / A description of time-series aggregated CDR data
- call-in activity / A description of time-series aggregated CDR data
- call-out activity / A description of time-series aggregated CDR data
- internet traffic activity / A description of time-series aggregated CDR data
- source data / Source data
- virtual index, creating for Milano CDR / Creating a virtual index for Milano CDR
- virtual index, creating for Milano grid / Creating a virtual index for the Milano grid
- virtual index, creating with sample data / Creating a virtual index using sample data
V
- VirtualBox
- VM, starting in / Starting the VM and cluster in VirtualBox
- cluster, starting in / Starting the VM and cluster in VirtualBox
- virtual index
- about / Virtual index
- reference / Virtual index
W
- workflow actions
- about / Workflow actions