How many projects have you worked on that forgot to test size, volume, and conduct load balancing in a newly converted environment? I have worked on a few of those types of projects. I know in a data warehousing effort, we always check any servers and databases, based on load,
Why do so many data migration projects fall off the rails? I’ve been asked this question a lot and whilst there are lots of reasons, perhaps the most common is a bias towards finding the wrong kind of data quality gaps. Projects often tear off at breakneck speed, validating and cleansing
Data migrations can be challenging initiatives at the best of times, but when they start to go wrong they can be devilishly difficult to turn around and keep afloat. In this article I share three simple ideas that may help you gain control of the project and bring that go-live date
One of the big problems with data migration projects is that, to the outside sponsor, they appear very much like a black box. You may be told that lots of activities and hustle are taking place, but there isn’t a great deal to show for it until the final make-or-break
Whilst the success rate of data migration initiatives has climbed in recent years, I still find that one of the key goals of data migration, legacy decommission, often gets overlooked. The financial benefits of shutting down the legacy environment are many. Relinquishing licenses and dormant hardware are obvious advantages of
In the era of big data, Kenneth Cukier and Viktor Mayer-Schonberger noted in their book Big Data: A Revolution That Will Transform How We Live, Work, and Think, “we are in the midst of a great infrastructure project that in some ways rivals those of the past, from the Roman aqueducts
In the 19th century, the harnessing of electricity brought about the means to transmit signals via electrical telegraph. The term STOP was used in telegrams to mark the end of a sentence because punctuation cost extra. Therefore, a telegram requesting an end to poor data quality would literally have been sent as “Stop Poor
Dylan Jones (@dataqualitypro) explains why data migration should be a keystone of your data transformation.
Many of us in the SAS world are responsible for the data that feeds the various business intelligence, analytics and business solutions provided by SAS. We’ve been involved in data integration, data migration, data quality, ETL / ELT, data access projects that support SAS solutions or are used for other
