Is your access to data via ETL channels creating a bottleneck in your business? Traditional ETL tools are exceedingly good at moving large quantities of data from one place to another repeatedly, reliably, and efficiently. For a large class of problems, where time-to-value is critical and applications need to be flexible as business requirements change, these ETL tools and waterfall projects are not a viable solution.
Alternative technologies are now available which marry self-service data preparation with enterprise data management capabilities to accelerate value delivery and accommodate change, without reducing the scale, scope, and rigor of data analysis.
Combined with new skills and new ways of thinking about data discovery, these new tools power a new agile process which yields more accurate results more quickly, moving beyond the traditional ETL bottleneck to an environment of continuous value delivery.
In this webinar you will learn:
• Where traditional ETL is and isn’t well suited to data analysis and BI projects
• The requirements for Agile ETL - people, processes, and tools
• How an agile approach can generate ROI more quickly, and with more trusted results
• How agile ETL lays the foundation for more flexible, responsive data analysis in the future, as business context and systems change