Data Migration: Failing to Plan is Planning to Fail [Step-By-Step Guide]
So, you’ve purchased a shiny new data storage array, and you’re now faced with the often-times daunting task of moving your data and servers from the old to the new array with the least disruption possible. Compounding the problem, data migrations are typically high-profile, high-visibility projects with “C-level” interest due to the risk involved and the sensitivity to the business application owners and end-users, even more so when there are revenue generating and budget concerns. [Read more…]
Buying New Storage or Planning the Migration – Which comes first?
It’s a Chicken or Egg thing! Having delivered hundreds of successful data migration projects, Headwaters Group has seen first hand that when a company spends all of it’s budget on hardware and doesn’t leave any for the data migration services, it results in delays and increased project risk.
As a primer to our upcoming blog series on data migration, we wanted to point out one important item that sometimes falls through the cracks when budgeting during the storage refresh cycle – remembering to allocate funding for data migration professional services post hardware acquisition. [Read more…]
What if you could save 50% annually on your DR program costs by taking advantage of new data-virtualization and cloud-based technologies?
In the next installment of our “In The Trenches” series, I thought we could spend some time discussing how DR has changed dramatically for the better over the last few years. [Read more…]
Mark Ziskind, Headwaters Group President and Chief Storage Architect
3PAR Online Import Utility for EVA, EMC CLARiiON
Our group delivers hundreds of data migrations each year. Most involve an older storage array which is being refreshed by a newer, more modern array. The question of how to move the data from point A to point B – or from the legacy array to the new target array – always comes up. Usually, there are at least 2-3 techniques that our team can use given the situation each with their pro’s and con’s. [Read more…]
As the popularity of data analytics explodes, the costs associated with these new infrastructure clusters can grow out of control quickly.
Hadoop-based architectures have highlighted another huge chasm inside most organizations that are considering investing in Hadoop Distributed File System (HDFS). And that is, there is a wide gap between a traditional IT architecture and a next-generation architecture best suited to support the Hadoop-based ecosystem of applications that reside there.
In this article, we will share our approach for bridging the Big Data Gap that not only addresses concerns like cost containment, risk reduction, and operational efficiency, but also provides a next generation data reference architecture, including TCO modeling, cost benefit, and comparative analysis.