Standard Issue: Preparing for the Future of Data Management

Eric.kavanagh@bloorgroup.com

Twitter Tag: #briefr
Tuesday, September 18, 2012

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!


September: Integration

October: Database

November: Cloud

December: Innovators

January: Architecture


Data integration involves combining heterogeneous data
sources and providing one unified view of said data.

In an era of vast data growth, IT departments are challenged by
the daunting task of keeping systems performant, scalable and
accessible.

Business users are demanding access to enterprise data from
multiple devices, in multiple contexts, for multiple purposes.

The costs of data integration are high and rising. This calls for
strategy and effective technology.


Robin Bloor is
Chief Analyst at The
Bloor Group.

Robin.Bloor@Bloorgroup.com


Delivers a scalable, cost-effective, self-service, end-
to-end Business Intelligence suite

Offers a commercial open source business model

Built for Cloud, Mobile and Big Data environments

Has a large, active developer community


Mike Boyarski, Director of Product
Marketing at Jaspersoft, has spent the
majority of his 15 years in product
management and marketing roles tackling
enterprise software and data management
challenges. He is currently director of product
marketing for Jaspersoft, an open source
Business Intelligence company. He spent
several years at Oracle where he drove
strategic initiatives such as software
appliances and Oracle’s On Demand service
platform. Mike’s expertise is in open source
software, business intelligence, data
management technologies, and cloud based
computing platforms.


Preparing for the Future of Data
Management


The Future is Web-Scale

§ But What is Web-Scale?
§ Different meanings to different tools
§ Principles fall into general categories of:

Scalable, Reliable, Secure, Inexpensive, Simple

©2012 Jaspersoft Corporation. 10


The Web-Scale World

§ Why prepare for web-scale
computing?
§ More agile – respond to load,
internally & externally
§ Align skills – Should your IT team
compete with a utility?
§ Align costs – pay what you use

§ Practical evolution
§ Started with dev, backups,
websites, & SaaS apps
§ Moving to horizontal services: data/
app integration, BI, Content Mgmt
§ Design now to embrace later


The Web-Scale World

How will web-scale computing impact BI software?



Web-Scale BI Architecture

First, some architectural principles …

§Open standards
§Service driven
(SOAP, REST, HTTP/S, etc.)
§Elastic, multi-tenant
§Compatible infrastructure
§Universal data access





§Open standards
§Service driven




User interaction layer needs to be …

§Web-based
§Simple & Intuitive
§widely accessible





§Web-based
§Widely accessible





§Web-based
§Ubiquitous access




Business model needs to be …

§Pay-as-you-go,
open source, freemium

§Flexible deployment
(on-prem and/or cloud)

OR OR



Jaspersoft: The Web-Scale BI Platform

Architecture User Experience Biz Model

§ Web-standard platform § Intuitive web-based § Available in the cloud
designers and interactive or on-premises
§ REST, SOAP, HTTP ready viewers
§ Distributed architecture § Yearly subscription or
web tier, database, browser
§ Customizable UI, enable as monthly
little or as much as needed § Designed for
§ Standard infrastructure § Android & iOS devices pervasive use
§ Connect to relational, non-
relational, OLAP, & NoSQL



Jaspersoft Architecture
Web Standard Customizable Front-End with Service APIs
Jaspersoft UI Framework

Presentation (.css)
Web Service Extensions
Events (.js) Integration Interfaces JSR-168 portlets

Structure (.jsp)

Web Services / C/C++, PHP Java API HTTP API XML/A (OLAP)

APIs
Reporting Ad Hoc Report OLAP Object User
Repository
Engine Reporting Scheduling Engine Permission Authority

JasperReports JasperReports OLAP Hibernate Spring
Scheduler
Library Server Engine ORM Security

Products & Modules
connect any data source SSO
JDBC
LDAP, JAAS, MS Active Directory, IBM
Tivoli, SiteMinder, CAS

XML, XML/A RDBMS TXT & CSV NoSQL
MapReduce


Who is Jaspersoft?

§ Commercial Open Source Business Intelligence provider
§ Suite of tools to address technical and non-technical users
§ Web standard flexible architecture
§ Affordable to address pervasive use of BI

§ Full End-to-End BI Suite

Reporting Dashboards Analysis Data Integration



Deployed by 10,000s of Organizations
16M Downloads (3K/day). 275K Community. 175K Deployments. 15K Customers.

Software & Technology Public Sector Healthcare/Pharmaceu-cal

Travel & Transportation

Financial Services Telecommunications

Retail/CPG



Fast Growing with Strong Recognition

Accelerated Year-over-Year Growth Broad Industry Recognition

Magic Quadrants



Jaspersoft: BI for Web Scale Computing
All Users
SCALE All Questions
All Infrastructure

SELF-SERVICE
Any User
Any Device
Any Context



Self-Service BI to reach All Users

ANY USER

ANY DEVICE

ANY CONTEXT



Easily Scalable for BI Builders

ALL USERS

ALL QUESTIONS

ALL INFRASTRUCTURE



Scalable for the Web-Scale Computing

SCALE IN CLOUD

SCALE FOR BIG DATA

SCALE ON MOBILE


Thank you.

@Jaspersoft

sales@jaspersoft.com

888.399.2199

openbookonbi.blogspot.com

© 2012 Jaspersoft Corporation. 29


Open Source
And The Cloud


The price of software has no strong relationship with
the cost of production and distribution
Ø Consequence #1: A software industry with a business model based
on notional pricing and software lock-in
Ø Consequence #2: Open Source and a business model based on
support fees

The customer has no control over proprietary code
Ø Consequence #1: Product direction is determined by the largest
customers and by lock-in features
Ø Consequence #2: Open Source and collaborative software
development


The public cloud is growing at a rate of over 100% per
annum. Firing on all cylinders: SaaS, PaaS, IaaS

It has torn down the walls of the data center
Ø There is no longer a space limit, only a cost limit
Ø Some functionality is self-migrating
Ø Things are getting very virtual

It has also invaded the data center via the private
cloud
Ø Sometimes it’s better in private
Ø ‘Time to deploy’ is being shredded even in the private cloud
The private cloud is a gateway drug for the public cloud


Open source dominates the software stack of public
cloud vendors
Ø Cost, Flexibility, Support
For BI users, the Cloud + Open Source is good enough
Ø Speed to deploy, cost
Ø Some have more complex requirements
The Cloud is damaging software brands, because of
the selection process
Ø It is reducing the price of the business service
The Cloud and Open Source are still emerging
trends...


Hindsight: Regular reporting/operational BI

Oversight: Dashboards, OLAP, BPM, etc.

Insight: Data mining, statistical analysis (trends and
relationships)

Foresight: Predictive analytics



Is the Jaspersoft cloud service multi-tenant?

Integration often means ETL. Does Jaspersoft provide ETL
capabilities? (Jaspersoft integration: Relational, Hadoop,
NoSQL?)

What about embedded analytic capabilities? How would a
customer integrate Jaspersoft directly with, say, a
transactional application?

Are any companies using Jaspersoft to replace legacy BI
products? Is this common?

Are there Big Data applications with Jaspersoft? If so, how
big is Big Data?


How many of your customers use Jaspersoft with Hadoop?
Does your cloud service/platform specifically involve
Hadoop?

Are your customers using both analytic RDBMS and Hadoop
systems together?

Can you provide some cloud deployment use cases/examples?

What areas of BI functionality does Jaspersoft intend to
expand into? (Data visualization? Deeper analytics? Predictive
analytics?)


Standard Issue: Preparing for the Future of Data Management

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