standard issue: preparing for the future of data management

Tuesday, September 18, 2012

Twitter Tag: #briefr

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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.

[email protected]



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


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

Scalable, Reliable, Secure, Inexpensive, Simple

The Future is Web-Scale

©2012 Jaspersoft Corporation. 10


§ 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

The Web-Scale World


§ 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


User interaction layer needs to be …

§Web-based§Simple & Intuitive§widely accessible





§Web-based§Simple & Intuitive§Widely accessible





§Web-based§Simple & Intuitive§Ubiquitous access




§Pay-as-you-go, open source, freemium

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



Business model needs to be …

OR OR


§ Web-standard platform§ REST, SOAP, HTTP ready§ Distributed architecture

web tier, database, browser§ Standard infrastructure§ Connect to relational, non-

relational, OLAP, & NoSQL

Jaspersoft: The Web-Scale BI Platform


User ExperienceArchitecture

§ Intuitive web-based designers and interactive viewers

§ Customizable UI, enable as little or as much as needed

§ Android & iOS devices

Biz Model

§ Available in the cloud or on-premises

§ Yearly subscription or monthly

§ Designed for pervasive use


Report Scheduling

Scheduler

APIs

Web Standard Customizable Front-End with Service APIs

Extensions

Reporting Engine

OLAPEngine

Ad Hoc Reporting

Object Permission

User Authority

JasperReports Library

OLAP Engine

JasperReports Server

Spring Security

Repository

Hibernate ORM

LDAP, JAAS, MS Active Directory, IBM Tivoli, SiteMinder, CAS

TXT & CSV

JSR-168 portlets Web Service

Integration Interfaces

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

XML, XML/A

JDBC

Jaspersoft UI Framework

Presentation (.css)

Events (.js)

Structure (.jsp)

SSO

Jaspersoft Architecture

connect any data source

RDBMS NoSQLMapReduce

Products & Modules


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

21

Reporting Dashboards Analysis Data Integration

©2012 Jaspersoft Corporation.


Deployed by 10,000s of Organizations


Software & Technology

Financial Services

Public Sector

Telecommunications

Travel & Transportation

Retail/CPG

Healthcare/Pharmaceu-cal

16M Downloads (3K/day). 275K Community. 175K Deployments. 15K Customers.


http://www.google.com/imgres?imgurl=http://efdni.org/images/bt_logo.jpg&imgrefurl=http://www.efdni.org/&h=1417&w=2991&sz=304&tbnid=RO_caeCCkLDptM:&tbnh=71&tbnw=150&prev=/images?q=bt+logo&usg=__p0s3Y2sX9LrO9QQlqu9KbmIaabw=&ei=tybPSoSnKKS7jAek_-z5Aw&sa=X&oi=image_result&resnum=1&ct=image






Fast Growing with Strong Recognition

Broad Industry RecognitionAccelerated Year-over-Year Growth

Magic Quadrants



http://www.jaspersoft.com/nw_press_jaspersoft_dukeschoice.html























































Jaspersoft: BI for Web Scale Computing

SELF-SERVICE

SCALE


All UsersAll QuestionsAll Infrastructure

Any UserAny DeviceAny Context


ANY USER

ANY DEVICE

ANY CONTEXT

Self-Service BI to reach All Users

25©2012 Jaspersoft Corporation.


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




SCALE IN CLOUD

SCALE FOR BIG DATA

SCALE ON MOBILE



http://www.cloudera.com/








SCALE IN CLOUD

SCALE FOR BIG DATA

SCALE ON MOBILE








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 codeØ Consequence #1: Product direction is determined by the largest

customers and by lock-in featuresØ 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 centerØ There is no longer a space limit, only a cost limitØ Some functionality is self-migratingØ Things are getting very virtual

It has also invaded the data center via the private cloudØ Sometimes it’s better in privateØ ‘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 enoughØ Speed to deploy, costØ Some have more complex requirements

The Cloud is damaging software brands, because of the selection processØ 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?)



September: Integration

October: Database

November: Cloud

December: Innovators

January: Architecture


standard issue: preparing for the future of data management

Technology

enterprise data

data managementchallenges

costs of data integration

webscale worldhow

webscale bi architecturefirst

architecturetwitter

big data environments

heterogeneous data sources