Nida event oracle business analytics 1 sep2016

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Oracle Business Analytics
Sirikul Kaewchoongern
Big Data & Analytics Product Solutions Manager
1 September 2016

Safe Harbor Statement
The following is intended to outline our general product direction. It is intended for information
purposes only, and may not be incorporated into any contract. It is not a commitment to deliver
any material, code, or functionality, and should not be relied upon in making purchasing decisions.
The development, release, and timing of any features or functionality described for Oracle’s
products remains at the sole discretion of Oracle.

Agenda
• 15.10 – 15.40 Oracle Data Visualization Self-Service Tool on Tour
• 15.40 – 16.00 Oracle DV Demo
• 16.00 – 16.30 Discovery Tool for Big Data System
• 16.30 – 17.00 Oracle BDD Demo
Oracle Confidential – Internal/Restricted/Highly Restricted 3

Agenda

Oracle Data Visualization
Oracle Confidential 5
Intuitive
New users productive in minutes
Comprehensive
toolset for deep analysis
Grammar of
the Graphics
Search to create vizc
All connected: filtering, brushing
Auto-viz
Single canvas model
Universal trellising Rich viz library
Mobile Authoring
and consumption

Simple but Powerful
• Visualize data – create rich visuals intuitively
6
Auto-visualization, grammar of graphics,
brushing, intuitive filtering, in-place
dashboard, auto coloring, built in maps,
rich visualizations, predictive functions

Simple but Powerful
• Blend data – bring in multiple data sets
7
Auto matching, full outer join, intuitive
blending, SaaS integration, data wrangling
Avoid spreadsheet hell

Simple but Powerful
• Share insights – with one or many
8
Private analysis, share with named users,
share with teams

Simple but Powerful
• Tell a story – engage the listener, help them see
9
Avoid
Bookmark analysis steps, annotate, fully
interactive presentation mode, available
on all devices
Keep it interactive!

Simple but Powerful
• Tell a story – engage the listener, help them see
• Anywhere – Full mobile
10
Responsive interfaces on tablet and
smartphone, full functionality, portability
between devices, security

Visual Exploration for Everyone
• Intuitive unified experience guides users
during analysis
• Seamlessly blends reporting &
dashboarding
• Automatic highlighting of related data
enables discovery of new patterns
• Consumer-style filtering and exploration
• Rich library of visual components
• Advanced trellising exposes hidden
patterns in data

Visual Grammar Guides Users To Best Chart Type
• Visualization type is
determined by analyzing
attributes chosen by
user
• Adding new attributes
updates visualization to
expose deeper patterns
• Transitioning between
visualizations
intelligently preserves
configuration
• All guidance is based on
a visual grammar that
serves as foundation of
user experience

Keyword Search Guides Users Through Data Model
• Unfamiliar data
models can be
investigated using
keyword search
• Selecting search result
automatically updates
visualization according
to best practices
• Consumer-style
experience powered
by deep integration
between search
engine technology
and semantic model

Brushing Guides Users To Discover New Patterns
• Selecting data in one
visualization
highlights correlated
elements in
everything else on
the screen
• Seemingly simple
user experience
powered by
incredibly
sophisticated
analytic queries

Rich Library of Visual Components
• 18 ways to
visualize data
• Creative use of
color, size, shape
and various
coordinate systems
• Implemented via
modern JavaScript
library and
rendered through
HTML5

Rich Trellising Exposes Deep Patterns in Data
• Any visualization
can be trellised by
both columns and
rows
• No limitation on
the number of
attributes used in
trellis
• Brushing
functionality also
works within cells
of trellis

Rich Canvas Model Blends Reporting & Dashboarding
• Single interface for
creating
visualizations and
composing them
together
• Optimal use of
screen real estate
automatically
chosen for user
• Fine grain
positioning and
sizing accomplishing
with simple dragging

Exploratory Analytics on a Tablet
• TODO
• Adaptive design of
Visual Analyzer for
tablet form factor
• Touch-friendly
functionality for
authoring new
analytics on-the-go
• Based on HTML5 –
works on any tablet
device

Quick Answers to Quick Questions
• Interprets semantic layer, catalog
artifacts and underlying data using
intuitive keyword search
• Generates on-the-fly queries -
Visualizations auto-created while user
types
• Easy entry point into authoring tools

OBI EE Documentation
Logical SQL Reference
http://docs.oracle.com/middleware/1221/biee/BIEUG/appsql.htm#BIEUG426
Documentation Help
20
3 OBIEE Samples Application
4
1 VA Functions Help
2 Answers – Functions Inline Help
Auto complete

Exploratory Analytics on a Tablet
• TODO
• Adaptive design of
Visual Analyzer for
tablet form factor
• Touch-friendly
functionality for
authoring new
analytics on-the-go
• Based on HTML5 –
works on any tablet
device

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 23
Visual Analyzer How-To Examples
VA interactive Zooming
Lat-Long Geo Visuals
Heat Map using Binning
Master Details interaction

VA Projects Examples, BI Subject Areas

Mashups Examples, World Economics

Mashups Examples, Other Datasets

Agenda

Oracle Big Data Analytics
Sirikul Kaewchoongern
Big Data & Analytics Product Solutions Manager

Safe Harbor Statement
The following is intended to outline our general product direction. It is intended for
information purposes only, and may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality, and should not be relied upon
in making purchasing decisions. The development, release, and timing of any features or
functionality described for Oracle’s products remains at the sole discretion of Oracle.
30

Oracle Big Data Solutions
The Forrester Wave™: Big Data
Hadoop-Optimized Systems, Q2
2016
Hardware Optimized To Run Hadoop
Delivers Quick Setup, Higher Performance,
And Automation

Big Data is ALL Data
Unstructured, Semi-Structure and Structured
There is always structure. But its not formally defined
or anticipated.
Social Media, RSS feeds, Videos, DOCs, PDFs, Graphics
Semi-Structured. Does not conform to DB tables, but
still contains tags or semantic elements.
Emails, log files, machine generated content
What is the main difference in this data?
Volume, Velocity, Variety, Value
These Characteristics Challenge your
Existing Architecture
and your Thought Processes

Not Easy to Get Analytic Value at Fast Enough Pace
33
Tool Complexity
• Early Hadoop tools only for experts
• Existing BI tools not designed for Hadoop
• Emerging solutions lack broad capabilities
80% effort typically
spent on evaluating
and preparing data
Data Uncertainty
• Not familiar and overwhelming
• Potential value not obvious
• Requires significant manipulation
Overly dependent on
scarce and highly
skilled resources

ALL
DATA
BETTER
DECISIONS
FASTER
ACTION
Big Data is About Analytics
34 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal 35
Oracle’s Big Data Portfolio

Requires a Fundamentally New Approach
36
quickly transform
and enrich it to make
it better
unlock big data for
anyone to discover
and share new value
A single intuitive and visual user interface, to...
find and explore big
data to understand its
potential
find explore transform discover share

For the Business : Oracle Big Data Discovery
The Visual Face of Hadoop
find explore transform discover share

Dataset Oracle Big Data Discovery : BDD
Oracle Big Data Discovery

Big Data Analytics. Requires a Fundamentally New Approach
Oracle Confidential – Internal 39
Explore
TransformDiscover
Find
An intuitive, interactive
and visual user interface
for anyone to quickly find,
explore, transform and analyze
data in Hadoop
then share results for
enterprise leverage

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal 40
Oracle Big Data Discovery. The Visual Face of Hadoop
Explore
TransformDiscover
Find

• Navigate a rich catalog of all
data in the Hadoop cluster
• Familiar search and guided
navigation for ease of use
• Access data set summaries,
annotation and
recommendations
• Provision your own data
through self-service upload
• Data is automatically
enriched with extracted
locations, terms, sentiment
• Browse personal big data
projects and those shared by
the community
Easily Find Relevant Data Sets

Find (Catalog) – Data Sets Tab
• Search
• Guided
Navigation
• Recently
Viewed, Most
Popular, Newly
Added
• Preview
Personal File Upload/JDBC
Navigate by Metadata
Search Everything
Ingested
Data Sets
Preview

Find (Catalog) – Search
• Searches
– Keyword
– Data Sets
– Projects
– Data Set Metadata
– Project Metadata
Search Everything

Find (Catalog)– Navigation Options
• Author
– Project or Dataset
• Tags
– Project or Dataset
• Contains
– Datetime or Geo
• Number of
– Records or attributes

Find (Catalog) – Data Set Quick Look
• Data Set Info
– Tag
• Actions
– Explore
– Add to project
– Edit Tags
– Delete
• Summary
– Views
– Last Updated
Data Set Info
Quick Look

• Used in Projects
– Project name
– Data Sets used
– Created by
Data Set
Used in Project
Quick Look

• Related Data
Sets
– Data Sources
Data Set
Related Data sets
Quick Look

Find (Catalog) – Data Set Preview
• First 10 rows
• All columns displayed
Preview

Find (Catalog) - Projects Tab
• Search
• Guided
Navigation
• Project
Categories
– Recently
Viewed
– Most
Popular
– View all
Search Everything
Discover Big Data
Projects
Navigate by Metadata

Find (Catalog) - Project Quick Look
• Add Tags
• Attributes
• Data Sets
• Pages
• Actions
– Open Project
– Edit Tags
– Delete
• Summary
Project
Quick Look

• Understand shape of the
data. Visualize attributes by
type
• Entropy based sorting by
information potential
• View attribute statistics,
data quality and outliers
• Use scratch pad to see
statistical correlations
between attribute
combinations
• Evaluate whether a data set
is worthy of further
investment
Explore the Data and Understand Potential

Explore
• Search:
– Attributes
– Refinements
– Keyword
• Sort order
– Name
– Information
Potential
– Relationship
to an
attribute
• Navigable
Tiles vs. Tabular view
Navigation menu
Search menu
Sort Order

Explore – Sort Attributes
• Sort order
– Name (alpha)
– Information Potential
• Based on Entropy
– Relationship to an attribute
• Based on Information Gain
Sort by

Explore – Quick Look –Geocode
• Overview
• Details
• Summary
stats
• Refineable

Explore – Scratchpad
• Auto-selects
best
visualization
• Visualization
changes as
additional
attributes are
selected
• Offers
alternative
visualizations
if valid

• Intuitive user driven data
wrangling
• Library of data transformations
to replace values, convert types,
collapse, reshape, pivot, group,
custom tag, merge and much
more
• Data enrichments for inferring
location and language. Theme,
entity and sentiment
enrichments for text
• Preview results, undo, commit
and replay transforms
• Run on sample data in memory
or full data set in Hadoop
Transform and Enrich Data to Make it Ready

Transform - Overview
Full Guided Navigation
Attribute Transformation
Smart Attribute Filtering
Interactive Transform
History
Visual Data
Quality Summaries
Faceted and Record
Level Views

Transform – Commit & Create New Data Set
• Commit
– Executes the transformation on the sample data so they
are available throughout the app (explore, discover, etc.)
– Updates the original collection in the Dgraph
• Create a Data Set
– Executes the transformation on the entire data set in
HDFS
– Creates a new entry in the BDD Catalog & Hive
• Rollback
– Any attribute(s) created by an individual transformation
that is later deleted will be removed when you commit
the transform script
Delete/Rollback

Transform – Script Sharing
• Publish a Script
– After developing a script, publish back to the
Catalog to share with other BDD users
• Load a Script
– Search the Catalog for other shared scripts
– Preview script transformations, then append or replace the script in your project

Transform – Enhanced Type Ahead
• Quick access to all transform attributes and functions
– Configurable to automatic or manually activated type ahead
• Expected parameters and values

• Available via a User Guided UI
• String
– Split
– Trim
– Uppercase
– Lowercase
– Titlecase
– Concatenate
Transform – Function Families

• Conversion
– Type Conversion
• Boolean
• Date Time
• Double
• Integer
• String
• Long
• Time
• Geocode

• Mathematical
• Available in Quick Transformation menu and
Transformation Editor
– Numeric Transformation
• Round,
• Ceiling
• Floor
• Absolute Value
– Available in Transformation Editor
• Operators (+ - / *)
• sqrt, mod, log, ln
• min/max
• sin/asin/sinh, cos/acos/cosh, tan/atan/tanh

• Conditional
– Accessed via Transformation Editor
• If /else if statement
– Optionally based on refinement state
– Can be nested
• Drag/drop or double-click functions and attributes onto editor
Click to get attribute list
Click to get
if statement
Click to access

• Datetime
– Accessed via Functions in
• Date Diff
– E.g., diffDates(date,date)
• Date Add
– E.g., addTime(date,integer,string)
• getYear, Month, Day, Hour, Minute
• Truncate Date
– also available in quick transformation
menu
• Etc.

• Data Transformation
– Binning numerics

• Data Transformation
– Grouping
• Applies to string type attributes
• Can be applied to existing attribute or create a new one
• Accessed from Quick Transformation menu

• Data
Transformation
– Splitting
• Used to separate
multi-value
attributes

• Join and blend data
for deeper
perspectives
• Compose project
pages via drag and
drop
• Use powerful search
and guided
navigation to ask
questions
• See new patterns in
rich, interactive data
visualizations
Discover

Discover
Thematic Map
– Navigable by
Country -> State ->
County
– Use any metric
– Can spotlight top
value
Oracle Confidential – Internal

Discover
Chart
• D3 Charting
• Chart type selection
on the glass
• Select or search for
x, y, z, color and
trellis attributes
• Provides
recommended
alternative chart
types

Discover
Custom visualizations
• JavaScript extension point to easily build and deploy new
interactive data visualizations
• Support for JavaScript visualization libraries, for example D3
• New visualizations are feature rich, supporting refinements
and on the glass configuration

Discover
• Data Set Linking
– Links 2 or more data sets within a project
• Highlights
– Visual attribute linking
– Automatic view creation
– Auto-widening of datasets
– Linked Navigation

• Share projects,
bookmarks and
snapshots with
others
• Build galleries and
tell big data
stories
• Collaborate and
iterate as a team
• Publish blended
data to HDFS for
leverage in other
tools
Share

Share Results and Publish for Enterprise Leverage
• Share and collaborate with the team
– Share projects, bookmarks and snapshots then
collaborate and iterate
• Publish back to Hadoop
– Transforms and enrichments may be applied to
original data sets in Hadoop
– Publish blended data sets back to HDFS
• Leverage results in other tools
– Publish data to Hadoop in format optimized for
advanced analytic tools (e.g. ORAAH)
– Hadoop compliant BI tools (e.g. OBIFS) can burst
out to the masses
– Leverage any native Hadoop tooling (e.g. Pig, Hive,
Impala, Python, etc)
– Integrate BDD data sets with DWH to secure,
govern and optimize for query performance (e.g.
Oracle Big Data SQL)
Oracle Big Data Discovery plays well with
the big data ecosystem
Explore
TransformDiscover
Find
Share & Collaborate
raw data
transformed data
data reservoir
(HDFS)
Publish
data
warehouse
business
intelligence
advanced
analytics
other
hadoop
tools
Leverage

Agenda

Big Data Discovery
• The Visual face of Hadoop
• Easily find and explore big data to
understand potential
• Quickly transform and enrich big data
to make it better
• Intuitively discover new insights and
share the value
• Leverage more of your existing
analytic talent

Oracle Big Data Discovery. The Visual Face of Hadoop.
www.oracle.com/bigdatadiscovery

Nida event oracle business analytics 1 sep2016

Nida event oracle business analytics 1 sep2016

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