Philip Russom, Ph.D.

Sr. Director of Research for Data Management at TDWI

Data, Analytics, and Cloud Strategies Based on Modernization and Why They Matter

Change is rampant today, and you need to adapt by implementing improvements. Turning change into improvement requires strategy and modernization at all levels of the organization. This ranges from the strategic planning of business management to the data analytics and cloud strategies that guide modernizations needed to support the new business goals.

In this session, TDWI analyst Philip Russom will discuss:

• Business, IT, data, analytics, and cloud strategies, plus the relationships among them
• IT modernization as an enabler of multiple strategies, in both business and technology contexts
• Examples of business goals that demand one or more strategies and modernizations
• Use cases in cloud-based analytics and data management that benefit from modernization-driven strategies

Kevin Fleet

VP Advisory Services, Informatica

Using Data Strategy to Guide Your Data Warehouse Modernization

As many organizations look to modernize their data warehouse and analytics environments, the current economic environment has made it more critical than ever to ensure technology investments are clearly aligned to achieving measurable business outcomes. This session will provide insight into how a holistic data strategy can be used to align business objectives, data capabilities, program management, and change management aspects of your modernization efforts.

Speaker Bio: Kevin Fleet is Vice President of the Advisory Services organization at Informatica. In this role, Kevin has global delivery responsibility for Informatica’s Advisory Services practice.  His career spans over 25 years working in both business and technical capacities across various industries including Manufacturing, Technology Services, Life Sciences, and Healthcare. Active as a thought leader in the data management industry, Kevin has authored a number of publications including “Cloud Data Management: Lessons From the Field”,  “Five Imperatives for the Chief Data Officer”, and “The Data Strategy Playbook: A CIO’s Practical Guide to Driving Change”.

Sampath Parthasarathy

Data Modernization – Solution Architect and Leader, Cognizant

Cloud Data Modernization – Industry Patterns

There are two key patterns for Cloud Data Modernization: 1) Lift & Shift 2) Re-engineer. This session will explore different customers and what they are actually doing, along with challenges and best practices for the two patterns.

Speaker Bio: Sampath has more than 20 years of experience in a variety of roles within different organizations. He has experience in leading complex data programs, wearing multiple hats including technical architect, business operations SME and program manager. Sampath’s expertise lies in building modern data platforms that are responsive and intelligent, to deliver consistent and continuous data pipelines. He is a specialist in data management with focus on the data engineering discipline and knowledge of specialized frameworks to accelerate data readiness for consumption. Sampath is a continuous learner with a master’s degree in computer science from Whiting School of Engineering, Johns Hopkins University. He has earned Cloud Solution Architect Certification and several Coursera certifications in the data and analytics space.

Andy Bhaduri

Global Partner Channel & Alliances Leader - Data & Analytics, Amazon Web Services (AWS)

How to Simplify your Migration and Accelerate Time to Value

Just like everything else, Data Warehousing world is changing rapidly driven by exponential growth of event data, need for end-to-end insights, and rapid rise of cloud. Cloud Data Warehouses are at the forefront of this change as they offer several benefits, viz. scale, elasticity, flexibility, pay-as-you-go commercial models, and the ability to get insights from a variety of sources. Customers, both large and small, have a strong desire to modernize their legacy infrastructure and are looking for the right products, migration patterns, and understanding of the migration journey to ease their transition. In this presentation, we will share AWS’ perspective of this change and how you can simplify your migration and accelerate time to value.

Speaker Bio: Andy Bhaduri leads AWS data & analytics partner channel and alliances worldwide. He is focused on helping AWS consulting partners build strong, growing, and differentiated data & analytics businesses by leveraging AWS native and ISV partner technologies. Andy has a 20+ year background in Enterprise IT in various roles within leading ISVs and Consulting companies.

Amit Kara

Director, Technical Marketing, Informatica

Architecting for Cloud Data Warehouse and Data Lakes with an Intelligent Data Platform

As organizations look to expand and grow data management capabilities to manage new cloud use cases, many organizations take a myopic approach to building their cloud data lakehouse by cobbling together point solutions to solve specific needs as they arise – a recipe for disaster for next-gen enterprise architectures. This session will explore how architects can design and implement a cloud data warehouse and data lake architecture using Informatica Intelligent Cloud Services, which provides an end-to-end solution to discover, ingest, integrate, cleanse, process, and prepare data for analytics or AI initiatives.

Speaker Bio: Amit Kara heads technical marketing at Informatica with in-depth technical marketing and solution architecture experience who understands business needs and educates technology leaders on how to leverage emerging technologies to support their analytics and AI initiatives.