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Big Data Fabric: A Necessity For Any Successful Big Data Initiative

While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users. Attend this session to learn how big data fabric enabled by data virtualization:

* Provides lightning fast self-service data access to business users
* Centralizes data security, governance and data privacy
* Fulfills the promise of data lakes to provide actionable insights
Recorded May 17 2018 44 mins
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Presented by
Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Naren, Sales Engineer
Presentation preview: Big Data Fabric: A Necessity For Any Successful Big Data Initiative

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  • Cloud Modernization with Data Virtualization - A Case Study by TransAlta Dec 19 2018 7:00 pm UTC 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 Dec 13 2018 7:00 pm UTC 60 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 Dec 12 2018 10:00 am UTC 60 mins
    Jacqueline Bloemen, Senior Analyst BI (BARC) and Becky Smith, Sr. Product Marketing (Denodo)
    In a digtial 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, however 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 Manger 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 52 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.
  • Centralize Security and Governance with Data Virtualization (APAC) Recorded: Aug 23 2018 55 mins
    Ravi Shankar, Chief Marketing Officer, Denodo and Danny Thien, Senior Data Architect, Denodo
    Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.

    Attend this session to learn how to employ data virtualization for:

    - Customizing security policies in the data abstraction layer,
    - Centralizing security when data is spread across multiple systems residing both on-premises and in the cloud, and
    - Controlling and auditing data access across different regions.

    Agenda:
    - DV for Security and Governance
    - Product Demonstration
    - Summary & Next Steps
    - Q&A
  • From Single Purpose to Multi Purpose Data Lakes - Broadening End Users Recorded: Aug 16 2018 53 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo
    Abstract: Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In his recent whitepaper, renowned analyst Rick F. Van Der Lans talks about why decentralized multi purpose data lakes are the future of data analysis for a broad range of business users.

    Please attend this session to learn:
    The restrictions of physical single purpose data lakes
    How to build a logical multi purpose data lake for business users
    The newer use cases that makes multi purpose data lakes a necessity
  • Data Virtualization - An Introduction (packed lunch July 2018) Recorded: Jul 19 2018 64 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Mike Dickson, Sales Engineer, 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
  • Are you killing the benefits of your data lake? (North America) Recorded: Jun 27 2018 48 mins
    Rick van der Lans, Independent Business Intelligence Analyst and Lakshmi Randall, Director of Product Marketing, Denodo
    Data lakes are centralized 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 minimizing the potential value for data science and without making it an inflexible environment.

    Attend this session to learn:

    • Disadvantages and limitations that are weakening or even killing the potential benefits of a data lake.
    • Why a multi-purpose data lake is essential in building a universal data delivery system.
    • How to build a logical multi-purpose data lake using data virtualization.

    Do not miss this opportunity to make your data lake project successful and beneficial.
  • What Is Data Virtualization in Under 3 Minutes Recorded: Jun 26 2018 3 mins
    Denodo
    The Denodo Platform provides all the benefits of data virtualization including the ability to provide real-time access to integrated data across an organization’s diverse data sources, without replicating any data. It offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources in both batch and real-time, exceeding the performance needs of data-intensive organizations.
  • Self-Service Analytics with Guard Rails Recorded: Jun 21 2018 61 mins
    Saptarshi Sengupta and Ed Robbins
    Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy.

    Attend this session to learn why data virtualization:

    * Is a must for implementing the right self-service BI
    * Makes self-service BI useful for every business user
    * Accelerates any self-service BI initiative
  • An Introduction to Data Virtualization Recorded: May 22 2018 59 mins
    Ravi Shankar, Chief Marketing Officer, Denodo and Danny Thien, Senior Data Architect, Denodo
    According to Gartner "Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration". That defines how data virtualization has become an undeniable driving force for companies to implement an agile, real-time and flexible enterprise data architecture.

    Attend this session to learn:

    -Fundamentals of data virtualization and how it differs from traditional data integration approaches
    -The key patterns and use cases of Data Virtualization
    -What to expect in subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization in big data analytics, cloud migration and various other scenarios

    Agenda:
    -Introduction & benefits of DV
    -Summary & Next Steps
    -Q&A
  • Big Data Fabric: A Necessity For Any Successful Big Data Initiative Recorded: May 17 2018 44 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Naren, Sales Engineer
    While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users. Attend this session to learn how big data fabric enabled by data virtualization:

    * Provides lightning fast self-service data access to business users
    * Centralizes data security, governance and data privacy
    * Fulfills the promise of data lakes to provide actionable insights
  • A Successful Journey to the Cloud Recorded: Apr 19 2018 60 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
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: Big Data Fabric: A Necessity For Any Successful Big Data Initiative
  • Live at: May 17 2018 6:00 pm
  • Presented by: Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Naren, Sales Engineer
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