Data migration

Technologies are constantly evolving. It is important to choose a platform and architecture that is future-proof and extensible and supports a pluggable paradigm to play nicely with other tools of an ecosystem. So gravitating towards open data formats, open source tooling, and cloud-based architecture with separation of compute and storage, you can dodge the main bullets. There will be a time when this is no longer sustainable and the whole data platform needs a refreshing overhaul. Some examples of this that we’ve seen in recent years is migration from Hadoop-based systems that are complex and difficult to manage to cloud-native data platforms. The same is true of expensive data warehousing solutions such as Netezza, Teradata, and Exadata. Migration projects are expensive, time-consuming, and critical to the overall value of a business and tech investments and need to be planned and executed very carefully.

How will you determine whether to patch an existing...