DAB0923: Data Architecture Bootcamp – Practical Exercises in Architecture Design

Data Management is a critical competency for data-driven organizations and Data Architecture is at the core of Data Management success. Designing modern Data Architecture is complex. Evolving architecture in the face of continuous change is especially challenging. Many organizations are anchored by legacy Data Architecture. Last-century Data Warehousing Architecture – with bolt-on features for data lakes, big data, self-service, data science, and other current trends – doesn’t work well and is not sustainable into a future of ever-expanding analytics capabilities. Early Data Lake Architecture is now a decade old and already outdated. In this course you’ll learn and experience techniques to harness modern architecture trends, and prepare for changes yet to come.

In this live, four-day online course, instructor Dave Wells looks at how modern Data Architecture is an essential part of managing critical data resources today and into the future. Data Architecture is imperative, but it is also challenging – so many variables, so many components, so many relationships. And so many questions: Where to start? How to organize the pieces? How to describe and explain? How to test and implement? What about all of the data assets that already exist? Modern Data Management Architecture matters, but it can be intimidating.

Many organizations are anchored by legacy Data Architecture. Last-century data warehousing architecture – with bolt-on features for data lakes, big data, self-service, data science, and other recent developments – doesn’t work well and is not sustainable into a future of ever-expanding analytics capabilities.  Early Data Lake Architecture is now a decade old and already outdated. Current trends such as data fabric and data mesh have promise but need to be integrated with existing architecture and Data Management practices.

We’ve seen many changes in the world of data and analytics over the past several years. Perhaps the biggest and most consequential change is in how we need to manage data – making the shift from managing data-as-an-asset to managing data-as-a-resource. An asset is something on which you place value. A resource is something that you use to create assets and meet objectives. This subtle change has significant data implications. We can no longer manage data as something that we store and process. We must see and manage it as something that flows through organizations and processes to create information, build knowledge, and fuel innovation. This has huge implications for Data Architecture.

Four-Day Seminar Price:

  • $2,000 Super Early Bird Price through August 25, 2023
  • $2,200 Early Bird Price through September 8, 2023
  • $2,400 after September 8, 2023

Last day to register: Thursday, September 14, 2023

Seminar CEUs: 24
Seminar Date: September 18 – 21, 2023
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific

Over four days you will experience, discuss, learn about, and work through:

  • An assessment of current Data Management Architecture
  • A gap assessment to identify what’s missing in the current Data Architecture
  • Identification of high-level Data Architecture requirements
  • Evaluation and selection of architectural frameworks
  • Gathering business capability requirements for the architecture
  • Gathering data capability requirements for the architecture
  • Designing the Data Management Architecture
  • Testing and implementation planning

After four days, some of your “take-homes or deliverables” will include:

  • An initial assessment of your current Data Management Architecture and knowledge of how to extend it to become a comprehensive assessment
  • A gap assessment to identify architecture needs not met and understanding of how to use the assessment
  • A first draft of architectural requirements – both business and data requirements – to initiate collaboration with your stakeholders for full requirements definition
  • An architecture diagram that is a first-cut design of Data Management Architecture to meet your current and future needs

NOTE: If the scheduled time is not convenient for your time zone and you have a group who would like to take this seminar at a time more convenient for you, please email [email protected] to coordinate a new course schedule.

Who Should Attend?

This four-day live online workshop is designed for data and technical professionals at all levels, who are challenged to close the gap between legacy Data Architecture and the architectural capabilities needed to manage a modern data and analytics resource. It is appropriate for executives and data strategists, data scientists and data analysts,  data and enterprise architects, consultants and technical staff, and professionals looking to get more involved in Data Architecture for their jobs.

Group and team attendance is strongly encouraged because the workshop activities are applied for your organization’s unique circumstances. Those activities produce results that have immediate application and lasting value for your ongoing architectural efforts.

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