Seminar Description

Analytics success depends on services to provide the right data at the right time, but delivering data services has become ever more challenging in recent years. Both data supply and data demand have increased substantially. Volume of data has grown, variety of data has expanded, and speed of data has accelerated. We’ve experienced a shift from ETL-based data integration to data engineering, data preparation, and data pipeline management. Data Management has experienced a seismic shift and we continue to feel the aftershocks. Platforms and technologies continuously evolve. Business requirements and expectations are dynamic and frequently urgent. The number of people who work with data is soaring and the variety of data roles is expanding.

The stakes are high, yet many organizations struggle with Data Management practices that are anchored by legacy systems and burdened with technical debt. Stepping up to the challenge requires rethinking on three fronts: What should modern Data Architecture look like? How to get from here to there? How to remain flexible and able to adapt to future changes?

Attend this half-day seminar to learn:

• The many factors driving the need for modern Data Architecture
• The requirements and the components of modern Data Architecture
• The contrast between legacy architecture and modern architecture
• To make sense of the buzzwords—data fabric, data mesh, data network, etc.
• To frame a modern Data Architecture and map the path to make it a reality

Half-Day Seminar Price:

• $249 Early Bird Price through June 18, 2021
• $299 after June 18, 2021

Last day to register: Monday July 5, 2021

Seminar CEUs: 3.25
Seminar Date:  July 7, 2021
Seminar Time: 11 AM – 2:30 PM Eastern / 8 AM – 11:30 AM Pacific

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 half-day live online seminar is intended for business and IT professionals at all levels, who are challenged to close the gap between needed data services and the ability to deliver those services. It assumes a basic understanding 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. The course is not designed for any specific industry or business domain, and as such is applicable to any business organization needing to reliably supply data needed for modern analytics.

Seminar Format

• A half-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: Wednesday July 7, 2021
  • Seminar time is: 11 AM – 2:30 PM Eastern / 8 AM – 11:30 AM 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.