The need for digital transformation is compelling enterprises to move from traditional data warehouses to the cloud. Gartner estimates that the worldwide public cloud services market will increase by over 17 percent to $206 billion in 2019. IDC forecasts the global spending on cloud services and infrastructure to reach $210 billion in 2019. These estimates highlight the increasing adoption of intelligent cloud-based technologies.
Making the move from EDW to big data can be daunting. A thorough understanding of requirements, possible scenarios, and processes is crucial to ensure a smooth transition. Organizations must also be equipped to deal with risks such as data loss, and even worse - failed implementation.
Business is booming in the data industry. Investments have grown exponentially in recent years and according to industry experts, the trend is expected to continue. As data complexity rises and more uses for data analytics take the spotlight across industries, the demand for solutions to meet these challenges is expected to surge.
Manual migration can be complicated. Niche technologies, human error, lengthy assessment phases, testing, validation, execution, and the migration itself – these all contribute to the complexity.
The Impetus Workload Migration Solution addresses these complexities and minimizes migration risks.
Legacy data warehouse transformation is complicated and risky. A successful migration requires a detailed evaluation on multiple parameters – including queries, tables, sub-queries, database views, users, applications, target query execution engines, and more.
To help guarantee that your workload migration is primed for success, we’ve put together a list of five things to consider before you get started.