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Data Virtualization - Enabling Next Generation Analytics (EMEA)

Although most of today’s enterprises are data-aware, this may not be sufficient to drive tangible business outcomes.

- Are your data-driven applications providing contextual and actionable insight?
- Are you deriving insights from all the enterprise data?

Embrace Forrester’s latest analytical framework for insights-driven businesses: Systems of Insight (SOI).

Join this session to discover the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. The session will explore the roles that data virtualization (aka Data Fabric) plays in modern SOI architectures, such as:

- A single virtual catalog / view on all enterprise data sources including data lakes.
- A more agile and flexible virtual enterprise data warehouse.
- A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
Recorded Feb 27 2018 61 mins
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Presented by
Boris Evelson, Vice President & Principal Analyst, Forrester Research | Lakshmi Randall, Director, Product Marketing, Denodo
Presentation preview: Data Virtualization - Enabling Next Generation Analytics (EMEA)

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  • Enabling Self-Service Analytics with Logical Data Warehouse (APAC) Apr 30 2019 1:30 am UTC 59 mins
    Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo
    What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.

    Attend this webinar to learn:

    * How easily new data sources can be made available for analytics and data science
    * How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
    * How LDWs help integrate self-service analytics with classic forms of business intelligence
  • Minimizing the Complexities of Machine Learning with Data Virtualization Recorded: Apr 18 2019 48 mins
    Pablo Alvarez, Director of Product Management
    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.

    Attend this webinar and learn:

    * How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    * How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    * How you can use the Denodo Platform with large data volumes in an efficient way
    * About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • Advanced Analytics and ML: Removing Friction from the Data Pipeline (EMEA) Recorded: Mar 28 2019 58 mins
    Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
    Advanced data science techniques, such as machine learning, have proven to be extremely useful tools to derive valuable insights from existing data. However, they put the pressure on the data scientists to look for the right data and massage it into usable formats – a process that ends up consuming most of their time.

    In this webinar, we want to discuss the use of data virtualization to obtain the information needed in a more efficient and agile manner, show you the value added by this technology via a predictive analytics demonstration, and finally present a customer success story of this use case.

    Join the webinar to find out:

    •How does data virtualization help data scientists accelerate data acquisition and preparation?

    •How does the Denodo Platform for data virtualization integrate with popular tools from the data science ecosystem, like Spark, Python, Zeppelin, Jupyter, etc.?

    •How can you use the Denodo Platform to deal with large volumes of data more efficiently?

    •How is McCormick, a food flavoring giant, using data virtualization to season its machine learning and blockchain landscape?
  • Accelerate migration to the cloud using Data Virtualization Recorded: Mar 21 2019 59 mins
    Mitesh Shah, Sr. Cloud Product Manager
    Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby Data Virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings and more.

    In this webinar, you'll learn
    * How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
    * Best practices of deploying Denodo Platform in the cloud.
    * Leverage Denodo's virtual data services layer to address and augment cloud solutions such as Data Warehouse modernization, Data Science, and Data Lakes in the cloud.
    * Watch a demo showcasing data virtualization and analytics in the cloud.
  • Advanced Analytics and Machine Learning with Data Virtualization (APAC) Recorded: Mar 20 2019 59 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    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.

    Attend this webinar and learn:
    * How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    * How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    * How you can use the Denodo Platform with large data volumes in an efficient way
    * About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • A Successful Journey to the Cloud (APAC) Recorded: Feb 27 2019 57 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    By 2020, a corporate "no-cloud" policy will be as rare as a "no-internet" policy is today, according to Gartner, Inc. While cloud makes enterprises more flexible and agile, various cloud adoption scenarios such as hybrid cloud, infrastructure modernization and cloud based analytics present a few challenges of their own.

    Attend this session to learn:

    • Challenges involved with various cloud adoption scenarios
    • How data virtualization solves cloud adoption challenges while centralizing data governance and security mechanism
    • How companies are using data virtualization to tackle complex modern customer segmentation problems such as “customer genomics”

    Agenda:

    • Challenges of cloud adoption
    • Data virtualization to the rescue
    • Product demonstration
    • Q&A
  • Enabling Self-Service Analytics with Logical Data Warehouse Recorded: Feb 21 2019 61 mins
    Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo
    What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.

    Attend this webinar to learn:

    * How easily new data sources can be made available for analytics and data science
    * How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
    * How LDWs help integrate self-service analytics with classic forms of business intelligence
  • Stay Ahead of the Pack with Data Virtualization in the Cloud (APAC) Recorded: Jan 30 2019 58 mins
    Mitesh Shah, Senior Cloud Product Manager, Denodo
    Digital transformation is no longer a jargon and businesses are enabling better, faster decisions by rightly connecting and combining their data across on-premises and Cloud, including real time data. Explore the endless possibilities of how Data Virtualization can help drive success in this fast-paced, ever-growing complex data landscape.
    In this webinar, you will learn from the Denodo experts how Data Virtualization can

    * Simplify Cloud Migration and Modernization by building a true virtual data services layer

    * Enable a Hybrid data fabric to support mission critical applications and security challenges

    * Drive Multi-Cloud use cases to bring the best value in a simplified and transparent way

    * Gain insights on next generation of Data Virtualization on the Cloud platform
  • Data Virtualization: An Introduction Recorded: Jan 17 2019 62 mins
    Paul Moxon, VP Data Architecture & Chief Evangelist, denodo
    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:

    * What data virtualization really is
    * How it differs from other enterprise data integration technologies
    * Why data virtualization is finding enterprise wide deployment inside some of the largest organizations
  • Cloud Modernization with Data Virtualization - A Case Study by TransAlta Recorded: Dec 19 2018 51 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Alejandro Ocando, System Analyst , TransAlta
    TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta developed a Energy Trading and Risk Management System (ETRM) for hourly energy pricing, but business users needed the ETRM data to be blended with many other sources of data in near real-time. At the same time TransAlta's IT department wanted 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 webinar to learn:

    * Who is TransAlta and why data driven insight is critical for their energy trading system
    * Why Data Virtualization played a critical role in TransAlta's cloud modernization effort
    * How Data Virtualization offers a faster and better data integration over legacy systems
  • Advanced Analytics and Machine Learning with Data Virtualization Recorded: Dec 13 2018 61 mins
    Paul Moxon
    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.

    Attend this webinar and learn:
    * How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    * How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    * How you can use the Denodo Platform with large data volumes in an efficient way
    * About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • How to Rule Your Data World Recorded: Dec 12 2018 63 mins
    Jacqueline Bloemen, Senior Analyst BI (BARC) and Becky Smith, Sr. Product Marketing (Denodo)
    In a digital World data is really everywhere. It enables innovative use cases, optimizes internal processes and will significantly affect tomorrow´s businesses.

    The growing interconnectedness of people, companies, and devices has led us to a vast volume of data from an ever-widening variety of sources. This has resulted in the rising awareness of the necessity to implement a data strategy.

    In this webinar Jacqueline Bloemen, Senior Analyst BI at BARC and Becky Smith, Senior Marketing Manager at Denodo, provide an overview of the current state of data strategy and data governance initiatives from companies around the world, based on the findings of a recently conducted study.

    Key Questions this webinar will address:

    - What are the most striking benefits of data governance?
    - Which technological approaches are companies taking to control and provide data?
    - What are the critical success factors of effective data governance?


    Agenda:

    1) Introduction and Challenges (Denodo)
    2) Insights into the current state of data strategy and data governance initiatives (BARC)
    3) Key Takeaways
    4) Q&A
  • Self-service Information Consumption Using Data Catalog (APAC) Recorded: Nov 28 2018 51 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.

    Attend this session to learn:
    - How business users will be able to use Denodo Platform integrated google-like search for both content and catalog
    - With web based query UI how business users can refine queries without SQL knowledge
    - With tags and business categorization, how to standardize business / canonical views while decoupling development artifacts from the business users

    Agenda:
    - The role of information self-service tool
    - Product demonstration
    - Summary & Next Steps
    - Q&A
  • Stay Ahead of the Pack with Data Virtualization in the Cloud Recorded: Nov 15 2018 59 mins
    Mitesh Shah
    Digital transformation is no longer a jargon and businesses are enabling better, faster decisions by rightly connecting and combining their data across on-premises and Cloud, including real time data. Explore the endless possibilities of how Data Virtualization can help drive success in this fast-paced, ever-growing complex data landscape.
    In this webinar, you will learn from the Denodo experts how Data Virtualization can

    * Simplify Cloud Migration and Modernization by building a true virtual data services layer

    * Enable a Hybrid data fabric to support mission critical applications and security challenges

    * Drive Multi-Cloud use cases to bring the best value in a simplified and transparent way

    * Gain insights on next generation of Data Virtualization on the Cloud platform
  • DAMA Webinar:Turn Grand Designs into a reality with Data Virtualization Recorded: Oct 24 2018 52 mins
    Becky Smith, Senior Product Marketing Manager, Denodo
    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:

    - What data virtualization really is,
    - How it differs from other enterprise data integration technologies
    - Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
  • Innovative Data Strategies for Advanced Analytics Solutions and the role of Data Recorded: Oct 18 2018 59 mins
    Lorrin Ferdinand, Sr. Consultant, Neudesic
    Data is fueling a new digital economy and compelling companies to rapidly adopt modern technologies such as Machine Learning, AI and Cognitive Science. Consequently, assembling the right blend of data from disparate sources using agile and flexible techniques like logical data warehousing to create purposeful, accessible insights is one of the greatest strategic tasks before us.

    To address the challenges associated with advanced analytics solutions, Neudesic uses a best-fit-engineering approach to enable enterprises to utilize the right tools for the right job to maximize their data and analytics strategy. When helping customers construct architectures that surface more data to an ever-growing number of data consumers without the need for data replication, Neudesic looks to Denodo as its tool of choice.

    Join Neudesic and Denodo for an interactive webinar to learn how you can apply data virtualization to your advanced analytics strategy for the purpose of achieving growth objectives. You will get to learn:

    * Why data virtualization should be part of your advanced analytics strategy.
    * How easily your use case will fit one of the numerous architecture patterns Denodo enables.
    * How Denodo’s innovative engine offers best of breed data virtualization capabilities, through a product demonstration.
  • The Power of a Complete View of the Customer (APAC) Recorded: Oct 17 2018 59 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    A complete view of the customer encompasses a single view of the customer, the customer’s relationships, and the customer’s transactions and interactions, resulting in increased customer satisfaction and retention as well as increased revenue through up-sell and cross-sell opportunities.

    Attend this session to learn how data virtualization supports complete view of the customer by:

    - Facilitating integration of master data with any other data throughout the enterprise
    - Providing real-time data access to the complete customer view, for any individual or organization across the company.
    - Reducing data replication and its associated costs and risks and providing access to cross-company data.

    Agenda:
    - DV benefits for Complete View of Customer
    - Product Demonstration
    - Summary & Next Steps
    - Q&A
  • The Role of Data Virtualization in an API Economy Recorded: Sep 20 2018 49 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    Digital Transformation, even though a cliche, is definitely on top of every CEO's strategic initiative list. At the heart of any digital transformation, no matter the industry or the size of the company, there is an API strategy. Application programming interfaces (APIs) are the connection points between one application and another, and as such, they enable applications to build on each other, extend each other, and work with each other. Taken together, APIs represent a thriving ecosystem of developers that is showing no sign of slowing down.

    Attend this webinar to learn:

    * How data virtualization greatly enhances the capabilities of an API
    * How data virtualization works as a service container, as a source for microservices and as an API gateway
    * How data virtualization can create managed data services ecosystems in a thriving API economy
  • Accelerate Self-service Analytics with Universal Semantic Model (APAC) Recorded: Sep 19 2018 60 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    Self-service initiatives are successful when business users’ views of the data are holistic and consistent across distinct business functions as enabled by Universal Semantic Model across multiple analytical/BI tools.

    Attend this session to learn how data virtualization:
    - Is the best fit technology to enable the Universal Semantic Model
    Accelerates Self-service BI initiatives
    - Provides a holistic view of the data

    Agenda:
    - Data Virtualization for Self-service Analytics
    - Product Demonstration
    - Summary & Next Steps
    - Q&A
  • Cloud Migration Made Easy with Data Virtualization Recorded: Sep 6 2018 3 mins
    Denodo
    Migrating to the cloud does not have to be difficult. The Denodo Platform for data virtualization provides companies with a solution to integrate data, but it also helps facilitate cloud migration, following proper security measures to ensure smooth, easy and privacy policy conscious processes.

    This 3 minutes video briefly demonstrates data virtualization capabilities, specifically when migrating to the cloud.

    See how you can integrate your data quickly and securely no matter where it resides.
Achieving Business Agility with Data Virtualization
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.

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  • Title: Data Virtualization - Enabling Next Generation Analytics (EMEA)
  • Live at: Feb 27 2018 3:00 pm
  • Presented by: Boris Evelson, Vice President & Principal Analyst, Forrester Research | Lakshmi Randall, Director, Product Marketing, Denodo
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