How to Up-Level from Teradata to Azure SQL DW Without Losing Sleep – The Datometry 6 Step Method

03.09.19

3 Reasons Why Your Teradata Migration Will Likely Fail – And What You Can Do ...

02.20.19

Many IT leaders the world over are preparing to move their legacy Teradata data warehouse to Microsoft Azure SQL DW. By now, the benefits of cloud do not need further discussion. The decision to move to the cloud is a done deal. Also, this is not about migrating from Teradata to another database. It is about liberating previously siloed data and setting it free in a powerful and highly flexible data ecosystem.

I’ve written about the challenges of replatforming here in the past. The specter of multi-year projects, overrun budgets, and late schedules has been recognized as the single biggest challenge any IT leader has to face in the next decade.

CIOs, Directors of IT, and database administrators are scratching their heads: How to up-level from Teradata to Azure SQL DW without losing sleep?

Join Microsoft and Datometry in a webinar where we will discuss a comprehensive strategy for replatforming: the Datometry Six-Step Method. We will make sure you as an IT leaders have the answers you need when getting called up by your CIO, CEO and increasingly in these days: your CFO.

In this webinar we cover what makes Azure a great alternative, the elements of the 6-Step Method, and how to get started:

Why Azure

Azure SQL DW combines performance and scalability of a massively parallel data warehouse with the ease-of-use of SaaS. Drawing on the heritage of the SQL Server product line, SQL DW is distinguished by its sophisticated query optimizer. Particularly, when processing complex analytics queries, SQL DW commonly outperforms on-prem systems and other cloud data warehouses alike.

Azure’s rich ecosystem of additional data processing capabilities for AI and Machine Learning underlines the importance of breaking legacy data silos. It’s positioned as an ideal home when it comes to replatforming on-prem systems to the cloud.

The Datometry 6-Step Method—in 6 Steps to Success

Replatforming a data warehouse is a daunting task. Rewriting all dependent applications is usually a non-starter. Multi-year replatforming projects test not only the mettle of IT leaders but also the patience of CFOs.

With the Datometry 6-Step Method, IT leaders get a framework that lets them execute a replatforming from Teradata to Azure SQL DW in 6 well-defined steps. Implementers have complete control not only of time and cost, but most importantly, risk. The 6-Step Method drives the process from assessment to production and leverages Datometry Hyper-Q to avoid tedious and error-prone rewrites.

How to Get Started

Join this webinar and hear from industry leaders in the space. Our guest will be Daniel Yu of Microsoft, who heads up Product Marketing for Azure SQL DW.

Forward the invite to your IT team and your business users, and if you’re bold, to your CFO. Also invite your partners from your system integration firm as applicable and the teams that currently manage your Teradata system.

As part of this webinar we’ll discuss the above subject in detail and provide answers to any questions you might have.

Register today for the webinar. Qualified registrants may be eligible for a complimentary assessment—a $10,000 value—courtesy of Microsoft and Datometry. Get clarity today and be ready for tomorrow when you move to a modern cloud data warehouse.

7 things every IT leader must know before moving analytics to the cloud
Download PDF

About Mike Waas

CEO

Mike Waas founded Datometry with the vision of redefining enterprise data management. In the past, Mike held key engineering positions at Microsoft, Amazon, Greenplum, EMC, and Pivotal. He earned an M.S. in Computer Science from the University of Passau, Germany, and a Ph.D. in Computer Science from the University of Amsterdam, The Netherlands. Mike has co-authored over 35 peer-reviewed publications and has 20+ patents on data management to his name.

Your email address will not be published. Required fields are marked *

All comments are moderated

By checking this box, I acknowledge that this form collects your name and email so that Datometry can keep track of comments placed on this website. For more information, view privacy policy.

Continue Reading