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Educational Seminar: Logical Data Warehouse, Data Lakes, and Data Services Marketplace

Logical data warehouse, data lakes, and data services marketplace – essential components of the fast data strategy – are rapidly augmenting traditional data warehouses, data marts, and ETL. Reason? Agility and fast time-to-market.

Watch this seminar and learn from the data experts:

  • Why logical data warehouse, data lakes, and data services marketplace are the future of fast data strategy.
  • The correct approaches to such modern data architectures and reaping high performance benefits
  • Deep dive into customer use cases along with product demos.

Logical Data Warehouse and Data Lakes

Logical data warehouse and data lakes can play a role in many different type of projects and, in this session, we will look at some of the most common patterns and use cases. Learn about analytical and big data patterns as well as performance considerations. Example implementations will be discussed for each pattern.

  • Architectural patterns for logical data warehouse and data lakes
  • Performance considerations
  • Customer use cases and demo

What is a logical data warehouse? Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, describes a logical data warehouse as a data system similar to that of a traditional enterprise data warehouse, but one that also includes data from external sources. According to Moxon, the main motive for implementing a logical data warehouse is to improve decision making and reduce cost.

Pablo Álvarez, Principal Technical Account Manager at Denodo, tackles the topic of performance by explaining the elements of the Denodo Platform query optimizer. He then challenges myths about virtual performance by comparing the logical data warehouse with the physical data warehouse using standard benchmarking tests.

Pablo Álvarez, Principal Technical Account Manager at Denodo, speaks about common patterns for a logical data warehouse based on experience with customers.

Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, uses Autodesk as an example of a logical data warehouse customer success story.

Data Services Marketplace

The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. Learn services-based reference architecture, modality, and latency of data access.

  • Reference architecture for enterprise data services marketplaces
  • Modality and latency of data access
  • Customer use cases and demo

What is a data services marketplace? Why do you need one? In this video, Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, answers these questions and more.

Rubén Fernández, Sales Engineer at Denodo, shows the virtual layers included in a data services marketplace. Using the Denodo Virtual DataPort Administration tool, he explains how the data services layer (provisioning layer) enables the delivery of data in several formats from any interface.

Rubén Fernández, Sales Engineer at Denodo, outlines the challenges you need to be aware of when planning to build a data services marketplace. One of the major challenges is security and privacy of your data: how it’s protected, controlled and audited. Furthermore, Fernandez discusses performance and quality (QoS) as well as data governance and veracity, showing how to ensure that the data being saved is good.

In this video, Paul Moxon, Sr. Director in the Strategic Technology Office at Denodo, presents data services marketplace customer success stories, using DrillingInfo and Guardian Life as main examples.

 

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