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TDWI San Diego Update

At TDWI, we have been working hard to navigate this ever-changing landscape in the face of COVID-19, and we want to assure you that the health and well-being of our employees, customers, and vendor partners is our top priority. Therefore, we have unfortunately decided to cancel TDWI San Diego 2020.

We truly appreciate your support during this difficult time. Our registration team will be in contact with individual registrants and sponsors directly. View our virtual learning options at tdwi.org/virtualtraining.

Course Description

S4 Architecting a Data Platform for Enterprise Use

August 16, 2020

9:00 am - 5:00 pm

Duration: Full Day Course

Level: Intermediate to Advanced

Prerequisite: None

Mark Madsen

Global Head of Architecture

Teradata

The problem designers need to solve isn’t big data or small data — it’s all data. The data warehouse is sufficient for a portion of the data we manage but not all of it.

Today’s requirements are to accept any data (not just rigidly structured) at any speed (not just what the database can handle). Data must be delivered via any means (not just SQL-based BI tools) and support any process (including algorithms and transformations).

Big data marketers position their solutions as alternatives to the data warehouse, but new technologies solve different challenges and aren't appropriate for some of the original problems — a confusion of technology with architecture.

Architecture is more than just software. It starts from use and includes the data, methods of building and maintaining, and organization of people. We are also in an emerging technology space when it comes to data. This requires reintroducing exploratory design practices that have been largely discarded over the last 10 years as data warehousing and BI matured.

You Will Learn

  • Data architecture alternatives adaptable to today’s data realities
  • New technologies that address problems inherent in the scope and scale of data today
  • Methods and techniques to migrate from old data architectures to new ones that resolve today’s problems and prepare for the future

Geared To

  • BI and analytics leaders and managers
  • Data architects, modelers, and designers
  • Big data architects, designers, and implementers
  • Anyone with data management responsibilities challenged by recent and upcoming changes in the data landscape