Modernization is business-critical—especially to take advantage of powerful cloud data platforms such as data lakehouses. With the growing importance of analytics, it is vital that you address the modernization and cloud migration of data management and analytics workloads together to avoid delays and disruptions that damage business. This means that along with the data, you need to ensure good migration of predictive models, statistics, visualizations, AI/ML algorithms, and any related programs and applications currently residing on legacy systems.
The problem is that most migrations involve significant manual work. Dependence on hand coding by teams of programmers often means that organizations spend too much time finding and fixing errors and inconsistencies. Manual work is typically not well documented, which makes troubleshooting, testing, and validation slow and tedious. Modernization becomes nearly impossible due to lack of profiling visibility into existing programs, applications, and workloads. You don’t know where to start. Costs quickly increase beyond what organizations had forecast for cloud migration.
Fortunately, automated tools and modern practices offer an alternative. Join this TDWI webinar to learn how you can accelerate cloud migration and modernization of data and analytics to take advantage of scalable and agile resources and meet pressing business demands for data science.
Topics to be discussed include:
Senior Director of Research for BI,
Senior Technical Architect,
Impetus Technologies Inc.