The Big Picture: Big Data for the New Wave of Analytics

Eric.kavanagh@bloorgroup.com

Twitter Tag: #briefr

!   Reveal the essential characteristics of enterprise
software, good and bad

!   Provide a forum for detailed analysis of today s
innovative technologies

!   Give vendors a chance to explain their product to
savvy analysts

!   Allow audience members to pose serious questions...
and get answers!


!  November: Cloud
!  December: Innovators
!  January: Big Data
!  February: Performance
!  March: Integration


!  Traditionally, databases have been built around SQL, a
declarative query language targeted at organizing data in two-
dimensional tables.

!  The ever increasing variety, volume and velocity of data has
taxed traditional relational databases and created performance
bottlenecks, particularly around CPU, memory, disk I/O and
network saturation.

!  Non-relational or NoSQL alternatives have emerged to better
support extreme and diverse workloads without suffering hits in
performance, while the incumbents increasingly add
capabilities to stay competitive.


Neil Raden is the founder and Principal
Analyst at Hired Brains Research. He is the
co-author, with James Taylor, of “Smart
(Enough) Systems: How To Deliver
Competitive Advantage by Automating
Hidden Decisions,” Prentice Hall, 2007.
With 30 years experience, he is a widely
published writer, well-known speaker,
analyst and consultant, having personally
designed and implemented dozens of large
analytical applications in finance,
marketing, distribution, logistics,
actuarial, intelligence, scientific,
statistical and consumer products. As an
industry analyst, he has published over 40
white papers, hundreds of articles, blogs
and research reports. He welcomes your
comments and can be reached at
nraden@hiredbrains.com.


! MarkLogic offers a schema-agnostic, enterprise-grade, NoSQL
database technology.

!  Version 6 includes integration with existing BI tools; REST and
Java APIs; JSON, Search and Visualization enhancements; and In-
database MapReduce and Analytics.

!  Its shared-nothing architecture enables systems to scale linearly
as demand increases, and allows customers the flexibility and
extensibility to quickly tap into information assets.


Steve Guttman is a MarkLogic’s VP of Product
Management. He has a broad background in Software
Marketing and Product Management for Client, Web and
Enterprise markets. Steve helped develop several
groundbreaking products, including Adobe Photoshop
and the first browser-based spreadsheet. Most recently,
Steve worked as Microsoft’s Product Unit Manager (the
product GM) for Expression Web – a Web authoring tool
created for Front-End Web developers. At Autodesk, he
oversaw Product Management for the GIS and Civil
Engineering division, and helped launched Autodesk
Civil 3D – a next-generation model-based design tool
for civil engineers, which quickly grew to be an
industry-leading product. In 1999 Steve started
Halfbrain.com, the first company to build and launch a
browser-based spreadsheet and presentation program –
over 6 years before Google Docs made its debut.
Halfbrain.com merged with BI vendor, AlphaBlox (now
part of IBM), where the web spreadsheet became a rich
front end to Essbase and SQL Server Analysis Services.


Keeping in Context:
A New Generation of Business Applications
Steve Guttman, VP Product Management
October 2, 2012

Thank you for joining us

Agenda
§  How Organizations Get Value From Big Data
§  The NoSQL Difference
§  Enterprise Ready Capabilities
§  Q&A

Slide 10 Copyright © 2012 MarkLogic® Corporation. All rights reserved.

Real Value From Big Data

Create New Revenue Streams

Gain Insights to Increase Market Share

Reduce Bottom Line Expense

Make The World More Secure

Provide Access To Valuable Information


The County of Fairfax delivers on their promise
of open government.

Goals
Make it easier to access real-time information
about zoning changes, land ordinances &
property history.

Solution
Fairfax County uses MarkLogic as its secure,
all-source repository with easy-to-use search,
Transformation, including a self-service web portal.
Human &
Machine
Enrichment
Benefits
PDF
Fast development process – live in 2 months.
Lower system costs – shut down mainframes.
Word CAD
Better information faster.
Mainframe Oracle 30,000 documents


“Big Investment Bank” ensures their customers
have newest, most up-to-date research.

Goals
Monetize their research, and gain competitive
advantage with “first-to-publish” information.

Solution
Challenges
Equity research authoring and delivery solution
(replaced Oracle & FAST) that brings search,
scalability, ease of use and speed to mobile and
alerting applications.

Benefits
Search, insert, track, tag, all from
within familiar authoring tools Decreased development time by 88% (12
months to 3 weeks). Faster response time to
hot topics has increased readership. Saved
50% over previous technology platform.


The FAA enhances airline safety with
real-time monitoring & dashboards.
Goals
Monitor and track emergencies and severe
weather, and update a real-time dashboard for
Consolidated data for crisis management.
real-time monitoring

Solution
Challenges
Repository for multi-source, complex, multi-
structured data; supports geospatial enrichment,
faceted navigation & search; integrated with
Google Earth, Microsoft SharePoint & internal
systems.

Benefits
Weather Social media Existing Proof of concept complete in 2 weeks. Entire
reports FAA system went from purchase to Beta in 6
systems months. Able to deliver mission-critical system
that had previously failed on RDBMS.


We help the BBC team achieve and
celebrate their summer of success.

Goals
Make the London 2012 the “most social”
Olympics on record.

Solution
Challenges
The system flexibly stores all data in a
single repository from scores, to player
bios to team history & tweets and makes
all new data available in real-time.

Benefits
BBC Sports data systems have been re-
launched in just a few months earning
critical praise for innovative features and
the speed to add new sources.


Eliminate Relational Pain

The Relational Way The NoSQL Way
New data source = New schema New data source = No problem
Search limited set of data Search all of your data
Transform data, force structure Use data as is
Weeks to build new queries or add/ Have real-time access to
change attributes information

Wait for development resources to Rapid prototyping application
build new applications development tools & APIs


<< Back

Multi-Lingual, Full Text & GeoSpatial Search

Full-Text Search Capabilities
You Expect
§  Supports 200+ languages
Advanced Capabilities for
More Value
§  Proximity boosting & distinctive
terms
§  Phrase-through and phrase-around
§  Lexicon, custom dictionary,
thesaurus support Benefits
Location Awareness in Content ü  More valuable answers with
§  Native integration of full-text and complete view of data
geospatial information ü  Get information in real-time
Geospatical Visualization
ü  High performance search API
§  Integrates with ESRI, Google
ü  Faceted navigation
Earth, Google Maps, Yahoo Maps,
Microsoft Live Search Maps. ü  Supports billions of documents
§  Supports GML, KML, GeoRSS ü  Use visual maps to help users refine
results


<< Back

BI Tools Support

Big Data Analysis for mere
mortals
§  Perform sophisticated analytics
on ALL your data, in real-time
Leverage existing tools
avoids added expenditures
§  No additional training
§  Reuse existing report templates
§  No custom integration or code
required
Simplify IT infrastructure
§  Integrated through ODBC – tested Benefits
on IBM Cognos & Tableau ü  Makes your data more accessible
§  No need to spend resources on across your business
extracting data to a data
warehouse ü  Faster results
§  Real-time access to your ü  Faster ROI
operational database – gain
competitive advantage


<< Back

Application Builder & Visualization Widgets

Quick Development of
Visual Interfaces
§  Easily build or enhance web
applications using MarkLogic
tools and widgets
§  Simplify front-end architectures
with pre-configured visualizations
and data access helpers
Explore New Ways to Look
at Data Benefits
§  Gain more insights from data sets ü  Simplifies development
with visual representations ü  Speeds time-to-deployment
§  Charts, Maps, Search, Results, ü  Easy access to powerful geospatial
and aggregation capabilities
Sidebar with facets
ü  Scalable, event-driven, encapsulated


Ensure You Don’t Create New Pain

Only Enterprise NoSQL Database
ü  ACID compliant
ü  Big data search
Database Search
ü  High availability
ü  Replication
ü  Point in-time recovery Application
Services
ü  Government-grade security
ü  Real-time your Hadoop
ü  Real-time Big Data analytics


MarkLogic: Powerful. Accessible. Trusted.
100’s of Use Cases in Production and Development
§  Competitive Intelligence
§  Compliance
§  Content Delivery
§  Counterterrorism
§  Digital Asset Management
§  Fraud Detection
§  Reference Data Management
§  Search & Discovery
§  Social Media Analysis


Any Questions?


Neil Raden
CEO and Founder, Hired Brains
nraden@hiredbrains.com
Twitter: @neilraden
Blog: http://hiredbrains.wordpress.com
http://www.linkedin.com/in/neilraden

Hired Brains is an independent firm
providing research and vendor advisory services and
direct-to-client consulting for 25 years

Mark Logic, NoSQL and Big Data

•  Relational database reign of 30
years is being challenged
•  Needs for distributed document-
centric stores
•  Web-level data is not economical
with existing RDBMS structure or
licensing
•  Wide variety in NoSQL such as
XML, graph, column, object and
in-memory and Hadoop
•  Mark Logic is a distributed
document-oriented XML system

25 Copyright © 2010-2012 Hired Brains Inc.

Data Doesn’t Speak for Itself

•  Data is only a proxy for
reality, footprints left
behind
•  Its meaning has to be
understood
•  Data integration
provides meaning and
context to data
•  Happens in logical
locations
•  Analytics gives value to
Big Data


Willie Sutton: Infamous Bank Robber

Q: Willie, why do you rob banks?

A: Because that’s where the money is.


•  28


!   Just a technical question: how does all of that mixed media
data become XML data during the ingestion phase?

!   A follow up to that question: MarkLogic is praised for its
amazing query response time, but how fast is the ingestion
process to a disk-based forest?

!   We hear a lot about Big Data — too much really — but despite
the fact that much of the data is not traditional structured
data, a lot of the analytics eventually resemble the quantitative
analytics that preceded it. Because MarkLogic positions itself as
a Big Data player, how does it support the deep quantitative
analytics of Big Data?


!   I read a case study which mentions that MarkLogic provided
scores and data visualization for the London Olympics. How does
that work?

! MarkLogic describes its strength as providing context to
decision-making. Apparently, you partner with traditional BI
vendors like Cognos. How do you provide context to a BI tool?

!   How expensive is MarkLogic? I understand you can build a cluster
of the same commodity servers as Hadoop, but with a lot of
servers, doesn’t the license cost become prohibitive in the same
way most NoSQL vendors point out the cost of traditional
relational databases?


!   I get the sense that the applications for MarkLogic have a strong
feel for content understanding and search, but all organizations
still strive to understand their operations in traditional data
warehousing and BI methods. Can MarkLogic support this
without the other infrastructure?


!  This Month: Database
!  November: Cloud
!  December: Innovators
!  January: Big Data
!  2013 Editorial Calendar
(www.insideanalysis.com)


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