Agenda

09:00 - 10:00

09:00 - 10:00
On-site Registration, Partner Showcase, Networking Breakfast

10:00 - 10:05

10:00 - 10:05
Welcome
Ravi Shankar, Chief Marketing Officer, Denodo

10:05 - 10:30

10:05 - 10:30
Keynote – Transforming Business with Multi-Cloud and Hybrid
Claudia Imhoff

Businesses undergoing digital transformation aspire to become cloud-first, or to initiate a hybrid journey to the cloud to capitalize on agility, flexibility, cost, technology, and innovation benefits. Join us as we discuss cloud/hybrid best practices with industry experts, customers, and partners. Hear from Claudia Imhoff, a leading industry analyst and founder of BBBT, on how data virtualization can help you succeed in your hybrid and multi-cloud journey. You will glean insights on:

  • Key challenges faced in journey to cloud
  • Why hybrid and multi-cloud strategies are important
  • How data virtualization abstracts any complexity in moving to cloud

10:30 - 10:45

10:30 - 10:45
Networking Break / Partner Showcase

TRACK – Why Data Virtualization Matters in Your Integration Strategy:

10:45 - 11:00

10:45 - 11:00
Analyst Presentation: Why Data Virtualization Matters in Your Portfolio
Noel Yuhanna Forrester

Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:

  • Data virtualization market growth trends and momentum
  • Key solutions and use cases
  • How leaders like Denodo are differentiating from other vendors in the market

11:00 - 11:15

11:00 - 11:15
Customer Presentation: Modernizing Data Warehouse Through Data Virtualization
Alan Knox Vancouver Coastal Health (VCH)

Two years ago Vancouver Coastal Health (VCH) embarked on a major overhaul of the clinical information systems used throughout their hospital network. As part of the initiative, they looked into modernizing their analytics and reporting environment. VCH chose Data Virtualization as the data integration style.

Attend this session to learn how data virtualization:

  • Seamlessly integrates their legacy data warehouse and new patient systems, allowing users to access consolidated information
  • Acts as the single point of entry to all their underlying data
  • Has become a core component of how they deliver data to end consumers

11:15 - 11:30

11:15 - 11:30
Partner Presentation: Accelerating the Data to Value Journey
Krishna Gubili Wipro

Organizations today are data rich and insights poor. There is data everywhere. ERP systems, CRM systems, external data, data lakes and ponds. The real question to ask is “Are the users getting the insights they need when they need where they need to drive successful business outcomes”. Data Integration is a core pillar of the “Data to Value” journey. In this session you will hear how enterprises across industries are grappling with data, insights challenges and how organizations have adopted data virtualization to accelerate their "Data to Value" journeys.

  • Reduce effort to get from Data to Value
  • Faster time to Insights
  • Reduce overall cost of ownership

11:30 - 11:45

11:30 - 11:45
Panel: Disrupt Your Business with Data
Virtualization
PANELISTS: Noel Yuhanna Forrester | Alan Knox Vancouver Coastal Health (VCH) | Krishna Gubili Wipro
MODERATOR: Ravi Shankar Denodo

TRACK - NEXT-GEN SELF SERVICE BI / ANALYTICS:

10:45 - 11:00

Analyst Presentation: Managing Data Sprawls with Data Catalog for Self Service
Wayne Eckerson Eckerson Group

Finding the right data quickly is essential in this age of self-service analytics. Rapid data discovery is critical to delivering data at the speed of business. Wayne Eckerson, a leading BI and analytics industry analyst, will share:

  • Challenges in enabling self-service analytics
  • Why metadata underpins data integration and management
  • Why data virtualization combined with a dynamic data catalog is crucial for delivering trusted insights

11:00 - 11:15

Customer Presentation: Using Modern Data Management and Self-Service BI for Business Advantages
Andrew Sohn Crawford & Company

Crawford & Company, a global leader in claims and risk management, is developing new, global end-to-end services that span previously stand-alone, country-specific products. Data and data-driven insight have taken center stage, as Crawford continues its market leadership. Modern data virtualization and data governance tools and practices has been the secret to better Self-Service BI for Crawford’s end users, resulting in faster time-to-market for Crawford’s products and services.

Join this session to understand:

  • How Crawford gets a holistic, real-time view of its enterprise data using a unique, agile data architecture
  • How Crawford uses Denodo to abstract out data complexities to allow users to be productive with tools they are familiar with
  • What lies ahead in Crawford Enterprise Data Architecture

11:15 - 11:30

Partner Presentation: Democratizing Data for Business Users with Self-Service BI
Vaidy Krishnan Tableau

Organizations have taken different paths to use the cloud for their business analytics needs. Hybrid cloud environments introduce new considerations for managing security and governance requirements. Data virtualization provides a modern data architecture that hides the complexity from Tableau users without compromising on security and governance compliance. Attend this session to know more about:

  • Benefits of hybrid cloud analytics deployments with Tableau
  • Using data abstraction layer to simplify data access
  • Applying centralized security and governance with data virtualization

11:30 - 11:45

Panel: Next-Generation Analytics
Strategies
PANELISTS: Wayne Eckerson Eckerson Group | Andrew Sohn Crawford & Company | Vaidy Krishnan Tableau
MODERATOR: Mitesh Shah Denodo

11:45 - 12:00

11:45 - 12:00
Networking Break / Partner Showcase

TRACK – Multi-Cloud, Hybrid and Edge:

12:00 - 12:15

12:00 - 12:15
Partner Presentation: Accelerate Transition to the Cloud with Microsoft Azure
Paul Maher Microsoft

Organizations are evaluating how to modernize their data and analytics environment using the scalability and flexibility of cloud based solutions. Moving proven business processes and applications to the cloud is fraught with risk and challenges that can adversely impact users and customers. Azure allows for complete solution migration to the cloud with ease.

12:15 - 12:30

12:15 - 12:30
Customer Presentation: Cloud Modernization with Data Virtualization
Alejandro Ocando TransAlta

TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta's IT department initiated "Zero Data Center" project to move their entire data layer to the cloud for flexibility, agility and lower TCO. Data virtualization technology played a central role in TransAlta's real-time data integration, while helping them move to the cloud with zero down-time

Attend this session to learn:

  • Who is TransAlta and why TransAlta wanted to move their entire enterprise data layer to the cloud
  • Why data virtualization played a critical role in TransAlta's cloud modernization effort
  • How TransAlta uses DV in their energy trading, wind icing forecast and HR fuctions

12:30 - 12:45

12:30 - 12:45
Partner Presentation: How to Take Advantage of an Enterprise Datawarehouse in the Cloud
Harsha Kapre Snowflake

As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics. In this session we’ll cover:

  • Bypassing the mandate of a single enterprise data warehouse
  • Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
  • How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads

12:45 - 13:00

12:45 - 13:00
Panel: Accelerating Cloud Modernization with Data Virtualization
PANELISTS: Paul Maher Microsoft | Alejandro Ocando TransAlta | Harsha Kapre Snowflake
MODERATOR: Yves Laurent Denodo

TRACK – DATA LAKE AND GOVERNANCE:

12:00 - 12:15

Customer Presentation: Delivering Self-Service Analytics using Big Data and Data Virtualization on the Cloud
Wang Cheung Guardian Life

Headquartered in New York City, Guardian Life is one of the largest mutual life insurance companies in the United States. Guardian offerings range from life insurance, disability income insurance, annuities, and investments to dental and vision insurance and employee benefits. The Enterprise Data Program was initiated to modernize Guardian’s technology capabilities and transform how Guardian leverages data – the Enterprise Data Lake was implemented to democratize data and drive self-service analytics throughout the organization. Data virtualization has played a key role for delivering data services through Guardian’s Enterprise Data Marketplace, a centralized portal for analytics and reporting.

Attend this session to learn:

  • Who is Guardian and what were the key drivers for building a data lake?
  • What are the data architectural patterns on the cloud?
  • How data virtualization is powering analytics and reporting?

12:15 - 12:30

Partner Presentation: Regulation and Compliance in the Data Driven Enterprise
Mark Lochbihler Hortonworks

Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability. In this session we will cover how to:

  • Assure compliance with optimized data management
  • Data classification with security policy enforcement
  • Increase flexibility with extended protection capabilities

12:30 - 12:45

Partner Presentation: Best-Fit-Engineering Deployments of Logical Data Warehouses
Steve Tetrault Neudesic

Data is fueling a new digital economy with highly scalable, massively flexible, cloud-based compute potential that is transforming the way enterprises engage customers, refine operations and generate new revenue models – with technologies including machine learning, AI, and cognitive science. Consequently, assembling the right blend of data from disparate sources to create purposeful and accessible insights is one of the greatest strategic tasks before us. Join this session to learn about:

  • Neudesic Insights Development Workbench conceptual architecture
  • Accelerating innovation through best-fit-engineering architectural deployments of logical data warehouses (LDW)
  • Data virtualization as a modern data integration tool

12:45 - 13:00

Panel: Tackling Compliance with Data
Virtualization
PANELISTS: Wang Cheung Guardian Life | Mark Lochbihler Hortonworksa | Steve Tetrault Neudesic
MODERATOR: Paul Moxon Denodo

13:00 - 14:00

13:00 - 14:00
Networking Lunch - Online Studio for virtual attendees

14:00 - 15:00

14:00 - 15:00
Data Innovation Award 2018

For the first time, as part of DataFest, our annual user conference, we would like to recognize some of our customers who have demonstrated exemplary uses of data virtualization using the Denodo Platform. The top three stories will present their use cases in front of the audience at DataFest. Audience poll will select the winner. All three finalists will receive an award from our CMO, Ravi Shankar, during this DataFest session.

Finalist presentations:

  • 14:00- 14:15 Decision Support Initiative at Indiana University
  • 14:15- 14:30 Data Architecture for Machine Learning at McCormick
  • 14:30- 14:45 Data Virtualization at Logitech

15:00 - 15:30

15:00 - 15:30
Networking Break/ Partner Showcase

15:30 - 16:00

15:30 - 16:00
Ask the Experts Panel - Cloud Modernization/Migration

15:30-15:45
AWS Presentation: How to Successfully Deploy a Data Lake on AWS

Roy Hasson AWS

As data grows and diversifies, many organizations are finding that traditional methods of managing information are becoming outdated. Companies who are looking for scalable cloud solutions have the ability to instantly grow or shrink infrastructure using AWS, and Big Data and Analytics services such as Amazon Elastic MapReduce, Amazon Redshift, Amazon Aurora and Amazon S3 to turn data into actionable business insights for creating powerful business solutions. Join this session to learn more about the AWS Big Data and Analytics portfolio of services and how to successfully deploy a data lake on AWS.

15:45-16:00
Expert Panel

Stay up to date on the latest data virtualization trends and solutions with face-to-face discussions with industry analysts, customers, partners and leading Denodo’s subject matter experts.

PANELISTS: Claudia Imhoff BBBT | Avinash Deshpande Logitech | Mitesh Shah Denodo

16:00 - 16:30

16:00 - 16:30
Ask the Experts Panel - Self-Service and Dynamic Data Catalog

16:00-16:15
Denodo Presentation: Accelerating Self-Service with Denodo Data Catalog

Alberto Pan Denodo

Data catalogs are the new black in data management and analytics. Denodo data catalog combines the power of data delivery infrastructure with data catalog for contextual information and collective intelligence. Attend this session to learn:

  • What is unique about Dynamic Data Catalog
  • How to maximize information value with Data Catalog
  • Why it is essential to combine data delivery with Data Catalog

16:15-16:30
Expert Panel

Stay up to date on the latest data virtualization trends and solutions with face-to-face discussions with industry analysts, customers, partners and leading Denodo’s subject matter experts.

PANELISTS: Wane Eckerson Eckerson Group | Noel Yuhanna Forrester | Kyle Quass Indiana University | Alberto Pan Denodo

16:30 - 17:30

16:30 - 17:30
Denodo 7.0 in Action - Customer Panel Discussions

This session will bring together some of Denodo’s prominent customers who have already deployed Denodo 7.0 and are using advanced features such as Massive Parallel Processing, Dynamic Data Catalog or Solutions Manager to solve some of their most pressing problems. Denodo customers will be accompanied by subject matter experts (SME) from Denodo. Featuring Indiana University and McCormick.

PANEL: Kyle Quass Indiana University / Terry Moon McCormick / Alberto Pan Denodo / Paul Moxon Denodo / Pablo Alvarez Denodo
MODERATOR: Saptarshi Sengupta Denodo

17:30 - 18:30

17:30 - 18:30
Networking Reception

18:30 - 20:30

18:30 - 20:30
Cloud Data Virtualization Hands-On Lab
INSTRUCTOR: Bhavita Jaiswal Denodo
SUPPORT: Emma Stein Denodo

Join this hands-on workshop to achieve the first set of skills necessary to efficiently use the Denodo Platform for data virtualization along with connectivity to Amazon Redshift data warehouse in the cloud. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.
(Dinner included)

19:00 - 22:00

19:00 - 22:00
Executive Dinner Event for C-level audience (invitation only)

Data Virtualization Workshops

08:00 - 08:30

08:00 - 08:30
On-site Registration

08:30 - 13:00

08:30 - 13:00
Advanced Analytics and Machine Learning with Data Virtualization

Pablo Álvarez Denodo (instructor)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

In this workshop you will:

  • Learn how data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
  • Work with a real world example to predict usage of a City Bike share program – enhancing the ride data with additional information that is combined, transformed and analyzed directly in the virtual layer, before it is used to feed a machine learning algorithm
  • Integrate Denodo with popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.
  • Use the Denodo Platform with large data volumes in an efficient way

08:30 - 10:30

Data Virtualization and Big Data
INSTRUCTOR: Bhavita Jaiswal Denodo

Modern data sets grow rapidly and became complex to manage. Open-source frameworks (like Hadoop) make big data popular and some new challenges appear in the Enterprise space: connection to different big data sources, combination of data coming from the rest of enterprise systems, how to search the data you need, share that data with your team and data analysis using for example BI tools.

In this workshop you will learn how data virtualization offers a complete set of features to address these challenges:

  • Use the Denodo Platform to connect to different big data sources like Hadoop/Impala and Amazon S3
  • How to combine that data with other enterprise sources such as databases
  • See how Denodo MPP Query Acceleration leverages the power of the Hadoop cluster to optimize query performance
  • A quick overview of the Denodo Data Catalog Tool for searching data through Google-like queries and for sharing queries with other people
  • Integrate Denodo with a popular BI tool to consume easily the data sets: Microsoft Power BI

13:00 - 14:00

13:00 - 14:00
Networking Lunch and Dismiss