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Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes

A Case Study presented by Kurt Jackson, Platform Lead, Autodesk

Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.

In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.

Logical data warehouse / data lake is a virtual abstraction layer over the physical data warehouse, big data repositories, cloud, and other enterprise applications. It unifies both structured and unstructured data in real-time to power analytical and operational use cases.

Attend and Learn:

-Why logical data warehouse/ data lakes are the bedrock of modern data architecture
-How you can build a logical data warehouse using data virtualization
-How to create a single, unified enterprise-wide access and governance point for any data used within the company

Become a fast data strategy expert in one hour!
Recorded Aug 24 2016 56 mins
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Presented by
Kurt Jackson, Platform Lead, Autodesk
Presentation preview: Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes

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  • Enabling Digital Transformation: API Ecosystems and Data Virtualization (EMEA) Aug 8 2019 12:00 pm UTC 60 mins
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  • 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(更新版) Aug 8 2019 7:00 am UTC 60 mins
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    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。
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    Attend this session to learn:

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    ・クエリ最適化(Cost Based Optimizer)
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    ・機械学習・深層学習用Jupyter Notebook/Apache Zeppelinとの統合
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  • Data Virtualization: An Introduction (APAC) Recorded: Jul 17 2019 61 mins
    Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo and Michael Dickson, Senior 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:

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  • Multi-Cloud Data Integration with Data Virtualization Recorded: Jul 11 2019 54 mins
    Paul Moxon, VP Data Architecture and Chief Evangelist
    """By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms""
    IDC FutureScape: Worldwide Cloud 2018 Predictions

    More and more organization are adopting multi-Cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single Cloud provider, they often have data and applications spread across different Cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.

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    "
  • How to Improve BI Performance (APAC) Recorded: Jun 26 2019 57 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?

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  • 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.

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  • 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.

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    - How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
    - Best practices of deploying Denodo Platform in the cloud.
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  • 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.

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  • 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.

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    * 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
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    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.

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    •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
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: Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes
  • Live at: Aug 24 2016 3:00 pm
  • Presented by: Kurt Jackson, Platform Lead, Autodesk
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