How critical is MDM in the creation of your big data fabric? 3 experts in the areas of Hadoop, IoT and MDM discuss how these analytics can work in tandem to enhance your data architecture.Watch on-demand
Organizations can provide a true 360-degree view of critical master data entities by exploiting big data like social data. MDM provides a meaningful context to big data and a complete view of critical master data entities such as product, customer and employee.
In this presentation, Semarchy will discuss:
- Why MDM is crucial to the success of big data projects.
- How to combine MDM and Data Virtualization to provide a complete view of the customer.
- Practical use cases representing big data and MDM.
It is the year of predictive analytics. As more and more millennials are turning to online processes and the customer demand for real-time action becomes more pressing, the demand for this market is growing. Industries are building platforms which combine predictive analytics and machine learning as well as complex systems of engagement to keep up with this growing momentum.
In this session you will hear the following panel of experts discuss this theme in detail:Watch on-demand
Big data fabric combines essential big data capabilities in a single platform to automate the many facets of data discovery, preparation, curation, orchestration, and integration across a multitude of data sources.
Attend this session, presented by Pablo Alvarez, Director of Solutions Consulting, Denodo to view the demonstration of big data fabric, and to learn how data virtualization constitutes a recipe for:Watch on-demand
Businesses need agility and speed to outsmart competition. Traditional integration technologies such as ETL, for materializing views and replicating data are rapidly being replaced by agile data modeling and modern data applications.
In this presentation, Nouras Haddad, Director of Technology Alliances, Looker will present:Watch on-demand
The last 10 years we have focused on accumulating untold volumes of data-at-rest, predicted to grow to 40+Zetabytes by the end of the decade. The next frontier master is data-in-motion – the data that is flowing from billions of sensors that are instrumenting every machine, device and person. Unique actionable intelligence lives at the intersection of these two domains when IoT data meets machine learning and artificial intelligence. Hear how leading organizations harness next-gen connected data platforms to drive transformative data initiatives.Watch on-demand
Streaming real-time data from Internet of Things holds new promise. Businesses require assessing performance of machines / processes and adjusting on-the-fly to ensure optimal performance. But to make sense of the streaming data, it needs to be combined with the information about the part, machine, owner, location, etc., which are stored in other enterprise systems. Big data fabric combines the streaming data with related enterprise data to deliver holistic information.Watch on-demand
Data Virtualization was critical in Logitech’s cloud journey with minimal impact on business operations. The Data Virtualization Platform acts as a big data fabric layer, sourcing data for all of Logitech’s analytics initiatives from descriptive to prescriptive to predictive analytics including NLP.
In this session, Logitech's Principal for Big Data and Advanced Analytics, Avinash Deshpande will explain:Watch on-demand
We are evolving from an information era to a customer-centric era. Enterprises must be innovative in delivering systems of insight to remain competitive. In this keynote session, our guest speaker, Forrester Vice President and Principal Analyst Brian Hopkins will discuss the importance of hyper-agility and the need to evolve from a lake to a fabric.
In this session, Brian will discuss:Watch on-demand