Maximize Your Return on Big Data
Increase the Value and Lower the Cost of All Your Data
Wednesday, November 7, 2012
7:30 am - 1:00 pm
The Westin San Francisco Market Place
50 Third Street
San Francisco, CA 94103
The advent of big data in the enterprise brings with it unprecedented opportunities.
To learn how you can capitalize on these opportunities, join our all-star cast of
Informatica executives, experts, and key partners as we go on the road to more than
50 cities worldwide.
We’ll take you past the big data hype, and show you how the latest trends in cloud,
social, and mobile computing will help you optimize your key initiatives around
master data management, business intelligence, data privacy, application performance,
Register for the Roadshow to learn how to...
- Make smarter business decisions by harnessing the analytical power of new computing technologies
- Deliver on performance SLAs with the LOB despite ever growing data in warehouses and applications
- Increase the business value of big data, lower its cost, and realize its promise, with our latest release.
Space is limited and seats are filling up quickly.
7:30 am - 8:30 am
Breakfast and Partner Fair
Maximizing Return on Big Data
Never before have we experienced such a profound transformative change in computing,
which is taking the notion of “the information age” to a level unimagined even a
few years ago. Cloud, social and mobile computing are changing everything in the
world of data, and leading to the massive rise in variety, complexity and volume
now dubbed “big data”. Capitalizing on the business value of big data while avoiding
unforeseen cost, complexity, and risk has become critical to your future success.
In this session, you will...
- Uncover disciplines for measuring and continuously maximizing your “return on data”,
defined as the value of data divided by the cost of data
- Understand the impact of these megatrends on how you create, manage and utilize
- Examine the multiple facets of the big data phenomenon, and its impact on your organization
- Learn about the latest release of the Informatica Platform, Informatica 9.5, and
the capabilities necessary to ensure that you don’t merely cope in the era of big
data, but that you thrive.
Eliminate SaaS Sprawl with Cloud Data Integration
According to IDC, software as a service (SaaS) spending will grow by 105% between 2011 and 2015. Is your organization ready? Do you have a plan to integrate data between cloud and on-premise applications? What about cloud to cloud? Welcome to the world of “hybrid IT.”
In this session, you will learn...
- Why data integration has been recognized as top barrier to cloud computing adoption
- The primary cloud data integration and data quality use cases
- How to balance the need for speed with the need for strong IT governance and control
- How Informatica Cloud can enable maximum cloud application adoption and success.
Big Data Analytics
The most alluring promise of big data is analytics— analytics that provide key insights
into business operations or customer behavior to deliver top line growth, cost reduction,
or risk mitigation. However, organizations struggle with the daunting tasks of handling
such large volumes of data, processing it, and making sense of it. Adding to the
volume challenge, the velocity, complexity and variety of data also continue to
increase exponentially. Traditional approaches to integrating and preparing data
for analysis simply can’t cope with new big data requirements. To harness the analytical
power of new computing technologies, including big data appliances and Hadoop, organizations
need to master the latest in big data integration architectures and techniques.
In this session, you will learn...
- The challenges associated with big data analytics
- The key requirements and best practice approaches for big data integration
- Approaches for bridging the gap between traditional and big data analytical environments.
Lean Data Management – Delivering on SLAs
Big data is causing exponential growth. This growth is not only pushing the limits of hardware and storage, but it is also adversely impacting application and data warehouse performance. Performance service level agreements (SLAs) are harder to meet when dealing with larger data sets. While smart partitioning strategies can boost application performance by making the active or frequently data optimally available, archiving strategies can phase out inactive data keeping the warehouses lean. In this session, you will learn...
- Approaches to lean data management
- Archiving and partitioning strategies to improve query performance, shrink backup/recovery windows, and significantly lower database/infrastructure costs
- Customer success stories.
David Lyle, Vice President of Product Strategy, Informatica
David Lyle is the vice president of product strategy at Informatica, where he leads Informatica's research on model-driven architecture
as it extends to integration automation. During the early to mid-90's,
Mr. Lyle worked as a data warehousing consultant on several large-scale, massively parallel warehouse projects. From this experience, Mr. Lyle helped found and grow Influence Software from 1996 to 1999 as a pioneering company in the development of analytic applications. Informatica bought Influence at the end of 1999 and since then, Mr. Lyle has helped expand Informatica's data integration, business intelligence and metadata platforms, creating several patent pending technologies for the company.
Mr. Lyle can be followed on Twitter @leanlyle.
Kirk Dunn, Chief Operating Officer, Cloudera
Kirk is the COO of Cloudera where he uses his diversified range of technology engineering, marketing, sales and management experience to oversee Cloudera’s business operations. During his nearly 20-year career, Kirk has worked extensively with established companies, high-growth organizations and Fortune 200 accounts, successfully building strategic sales and product divisions, and leading international expansions. Kirk served as the CEO of PowerFile, Inc, which was successfully sold to Hitachi LG Data Storage, and was CEO of Bang Networks Inc. Prior to joining Bang Networks, Kirk served as VP of North American Field Operations at Inktomi. He came to Inktomi from Network Equipment Technologies, Inc. (NET), where he held executive positions in sales, marketing and professional services. Kirk also worked for IBM in senior sales positions.
He holds a BA in mathematics and applied sciences from the University of California, Los Angeles.
Robert Hardaway, Director Big Data Practice, Cognizant
Mr. Hardaway possesses over 25 years of experience in enterprise-scale software engineering, product management, business development, sales and services.
He has provided solution architecture expertise to over 200 major projects ranging from ERP to CRM to enterprise integration to DW/BI to MDM, and now Big Data
Analytics for nearly every major vertical industry including Health Care, Telecommunications, Financial Services and Manufacturing.
Mr. Hardaway recently joined Cognizant's Enterprise Information Management Practice, where he is combining his wealth of experience and knowledge with the
rapidly advancing capabilities of Cognizant's Big Data Analytics services.
Darren Cunningham, Vice President of Informatica Cloud, Informatica
Darren Cunningham is the VP of Marketing for Informatica Cloud. He is responsible for leading product, customer and program marketing initiatives for Informatica cloud data integration business, which received the 2011 CODiE Award for Best Cloud Management Solution and has been recognized by Salesforce.com customers as the best of AppExchange three years in a row.
Prior to Informatica, Darren was VP of Marketing at LucidEra, an early entrant in the software-as-a-service (SaaS) business intelligence market. He led analytics product management and AppExchange data management partnerships at Salesforce.com in 2006 and 2007 and spent 7 years at Business Objects, where he managed product marketing for many of the company's primary business intelligence, data integration, operational reporting, and performance management solutions. He holds a bachelor's degree from the University of Toronto.
Darren can be followed on Twitter @dcunni.
Jagrit Malhotra, Partner, Lunexa
Jagrit plays a lead role in the strategic planning and business development of Lunexa. Jagrit is responsible for ensuring Lunexa clients worldwide have utmost confidence in Lunexa services and solutions. He also leads the company's business efforts in India. Jagrit joined Lunexa in 2005, bringing with him more than a decade of technical and management experience in the data management and business intelligence industry. Prior to Lunexa, he held various consulting and management roles at MicroStrategy, Inc. Jagrit has served as an officer for The Data Warehouse Institute (TDWI).
He holds a Bachelor of Science in Physics from Delhi University and a Postgraduate Diploma in Computer Science from the University of Cambridge.
Steve Varsolona, Director of Business Development, Appfluent
Steve Varsolona has 23 years of experience in leading the growth, development, and management of technology-based business/product lines for Fortune 500 organizations. Varsolona’s areas of expertise include sales, product line and business management, strategic planning, and marketing/business analysis.
He holds a Bachelor’s degree in Finance, as well as an MBA from Northwestern with concentrations in Economics and Accounting.
Karen Hsu, Director of Product Marketing, Informatica
Ms. Hsu is the Director of Product Marketing for Data Privacy solutions at Informatica and has been instrumental in bringing new Data Integration solutions to market, including those for Data Quality, Data Privacy, MDM, and Data Transformation and Exchange. Prior to Informatica, she drove the development and go-to-market strategy for new software applications in CRM, product configuration and pricing, and data integration at high tech start-ups and public companies including Intel, IBM (CrossWorlds), and Oracle (Siebel).
Karen holds a bachelor of science degree in Management Science and Engineering from Stanford University.
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