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Enabling Self-Service Analytics with Logical Data Warehouse

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
Recorded Feb 21 2019 61 mins
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Presented by
Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo
Presentation preview: Enabling Self-Service Analytics with Logical Data Warehouse

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  • How to Improve BI Performance (APAC) Jun 26 2019 1:30 am UTC 75 mins
    Ravi Shankar, Senior Vice President and Chief Marketing Officer, Denodo and Chris Day, Principal Sales Engineer, Denodo
    Do you know the data warehouse/ business intelligence mission? Gartner says that it is “the analysis of all data from across the enterprise to answer questions about the past, present, and future.” That means, bringing together data from various locations – on premises, cloud, suppliers, and 3rd party –, in various formats – structured, unstructured, and semi-structured –, and across various latencies – batch, real-time, and streaming. The performance of BI tools tremendously suffers when they move large amounts of such data into their semantic layer in order to display charts and dashboards. So, how do you solve this problem?

    That’s where data virtualization comes in as a solution. Data virtualization is a modern data integration technology that processes the queries at the sources and delivers only the results to the BI tools, thus dramatically improving the performance of these tools.

    In this webinar, you will learn:
    • Why the performance of BI tools suffers when accessing large amounts of disparate data.
    • What is data virtualization and how it optimizes query processing, thus boosting BI performance.
    • How to further use data virtualization as an universal semantic layer thus liberating business users to use any BI tools they like.
  • Unlocking the Hidden Business Benefits of Your Data with Data Virtualization Recorded: Jun 20 2019 57 mins
    Rick van der Lans, Independent Analyst, R20/Consultancy & Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
    Digital transformation, the data economy, and becoming more data-driven are the current themes of boardroom discussions. Data is very valuable to organizations and their business users as long as it’s accessible, timely, consistent, trusted, adaptable and actionable, among a list of other things.

    However, most organizations are dealing with data silos. Data is hidden inside databases, data warehouses, excel spreadsheets, and files; and, it’s stored on‐premises and in private and public clouds, often times across the globe. Therefore, it is not only time-consuming but also very costly to locate the required data, extract it from the system, integrate it, and turn it into meaningful, consistent and trusted information.

    -How can you improve data delivery and extract value from your data?
    -How can you make your data available and actionable in real-time?
    -How are other organizations dealing with this data challenge?

    In this webinar, we will explore data virtualization as the solution that fulfills all modern requirements for data delivery by looking at various customer case studies. Our speakers will discuss the challenges that hold organizations back from accessing their data and becoming data-driven. By taking you through real use cases, they will demonstrate how data virtualization has helped multiple organizations address their data challenges and create significant business benefits.
  • データ仮想化とは ~ データ統合のための最先端ソリューションのご紹介 Recorded: Jun 19 2019 64 mins
    赤羽 善浩 パートナービジネス戦略部長 Denodo Technologies 株式会社
    データ仮想化とは、どのようなソリューションなのか。昨今データ活用に注目が集まる中、データ統合や連携は重要な位置づけになりつつあります。データ仮想化は、データの物理的な複製なしでリアルタイムにデータ統合を実現できる、これまでとは全く異なる手法を採用するデータ統合戦略です。本ウェビナーでは、データ仮想化について、事例を交えてご紹介します。
  • Accelerate Migration to the Cloud using Data Virtualization (APAC) Recorded: May 29 2019 54 mins
    Ravi Shankar, Senior Vice President and Chief Marketing Officer, Denodo and Paul Shimabukuro, Sales Engineer, Denodo
    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.

    Attend this webinar to 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.
  • Big Insights from Your Big Data using Data Virtualization Recorded: May 16 2019 47 mins
    Pablo Alvarez, Director of Product Management, Denodo
    Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems (the data lake among them) and exposes them as one. The complexity of the back-end systems is hidden from the end user. Security, governance and auditing are again centralized.

    As data volumes grow exponentially, optimization techniques have also evolved to perform in these scenarios. Techniques like complex query rewriting, on-the-fly data movement between sources, and MPP capabilities provide the processing muscle to perform efficiently.

    Attend this session to learn:

    * How a logical data lake can overcome some of the issues of data lakes
    * How MPP acceleration and other optimization techniques designed for large data volumes work
    * How Denodo customers have implemented logical data lakes to improve the value of their Hadoop investments
  • Enabling Self-Service Analytics with Logical Data Warehouse (APAC) Recorded: Apr 30 2019 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.
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: Enabling Self-Service Analytics with Logical Data Warehouse
  • Live at: Feb 21 2019 7:00 pm
  • Presented by: Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo
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