Seminar Description

Modern Data Architecture is an essential part of managing the critical data resource 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. 

In this four-day course, instructor Dave Wells will help ease the pain and accelerate your path to modern Data Architecture with pragmatic workshop activities that apply concepts and techniques to your specific circumstances. Come prepared to work on your own architectural needs (or alternatively to participate in discussion and activities to design the architecture for others in your organization).

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. 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 13, 2021
• $2,200 Early Bird Price through September 3, 2021
• $2,400 after September 3, 2021

Last day to register: Thursday September 16, 2021

Seminar CEUs: 24
Seminar Date: September 20 – 23, 2021
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific

Over four days you will 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, 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. The course assumes basic knowledge of architecture principles and Data Management concepts such as data warehouses, data lakes, and master data as well as the fundamentals of data transformation and integration. It is appropriate for executives and data strategists, data and enterprise architects, consultants and technical staff.

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.

The course is not designed for any specific industry or business domain, and as such is applicable to any business organization needing to manage a modern data resource and reliably supply data needed for business intelligence, analytics, and data science.

Seminar Format

• A four-day seminar workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises.
  • The seminar date is: Monday – Thursday, September 20 – 23, 2021
  • Seminar time is: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
• All seminar material will be made available for students to download.
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom.
• The DVTC Platform is where you will start your training: https://training.dataversity.net
  • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard.
  • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete.
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open.
  • This platform is where you will take the training, view the presentation, and engage in breakout sessions.