08:00 - 09:00
09:00 - 09:05
THEME 1 – Why Data Virtualization Matters in Your Integration Strategy
09:05 - 09:30
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. Forrester analyst Henry Peyret, will address:
09:30 - 09:45
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn:
09:45 - 10:00
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.
10:00 - 10:15
10:15 - 10:30
THEME 2 – Multi-Cloud, Hybrid and Edge
10:30 - 10:45
While organizations undertake initiatives to move to the cloud, and modernize core systems and solutions, many find out the hard way that before they are able to move their entire data layer to the cloud, for a considerable period of time they need to keep their data partially in the cloud and partially on-premises. That gives rise to additional complexity including data security and governance challenges, latency problems and data integration problems. Attend session to understand how:
10:45 - 11:00
The need for a properly structured data infrastructure has become a necessity within a BI infrastructure for data-driven decision making. Furthermore, data within any company flows from a wide variety of sources and the need for business stakeholders to access reliable, accurate data easily is of great importance. Attend this sessoin to hear how 2U have implemented Denodo in the Cloud (AWS) to assist in providing all possible data sets in a well structured manner so business users can make impactful data driven decisions from the data served up in the Reporting System.
11:00 - 11:15
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:
11:15 - 11:30
11:30 - 11:45
THEME 3 – Data Lake and Governance
11:45 - 12:00
Data lakes are commonly centralised data repositories. Data needed by data scientists is physically copied to a data lake which serves as a one-storage environment. This way, data scientists can access all the data from only one entry point – a one-stop shop to get the right data. However, such an approach is not always feasible for all the data and limits it’s use to solely data scientists, making it a single-purpose system. So, what’s the solution?
A multi-purpose data lake allows a broader and deeper use of the data lake without minimising the potential value for data science and without making it an inflexible environment.
12:00 - 12:15
Landsbankinn is a leading Icelandic financial institution offering a full range of financial services. Data governance and security has never been more important. Attend this session to hear how Landsbankinn leverage data virtualization to:
12:15 - 12:30
Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Attend this session to hearhow these challenges can be addressed with:
12:30 - 12:45
12:45 - 13:45
THEME 4 – Next-Gen Self-Service BI / Analytics
13:45 - 14:00
The need to deliver data to the business in a timely fashion is more critical than ever. Hear first hand how Norwegian cable-TV operator and internet service provider Get As have transformed their approach to data warehousing using data virtualization. Attend this session how Get AS:
14:00 - 14:15
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:
14:15 - 14:30
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 During this session we will explore the challenges in enabling self-service analytics including:
14:30 - 14:45
14:45 - 15:00
15:00 - 16:30
Join the Ask the Experts sessions to ask questions and dive into the following topics topics:
15:00 - 17:00
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.
15:00 - 17:00
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.