How Big Data Fabric Enhances Hadoop, IoT, and MDM Projects

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.

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Intelligent MDM for Big Data

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.


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Enabling Advanced and Predictive Analytics with Big Data Fabric

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:

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Demo: Data Virtualization as a Core Component of Big Data Fabric

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:

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Data Architectures For Agile Analytics

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:

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Powering The Future Of Data

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.

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Applying a Three-Tiered Data Strategy

Is your organization drowning in the data lake too? Leading big data organizations are leveraging a multi-tiered approach to data for consumption in Tableau.

In this session, Dan Kogan, Director of Product Marketing, Tableau will present:

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Accelerating Cloud Analytics Using Big Data Fabric

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:

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How Do You “Sur-thrive” Hyperadoption?

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:

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