An analytics environment that caters to high-volume, semi-structured data is one that’s inclusive, allowing for data-driven decision making in the broadest sense. But data repositories that enforce formal measures and dimensions will keep data to a highly-curated standard and make it immediately consumable by BI tools. So, which one’s better? The answer is easy: both.
This dual approach to analytics data management, and getting it all done in the cloud, are the hallmarks of data warehouse modernization. But what’s the best way to accommodate it? Will ETL tools designed for classic on-premises data warehousing get the job done? What about self-service data prep tools designed for data lakes? Whatever your data management approach, it will need to take structured and semi-structured data into account and help you move that data to – and maintain it in – the cloud.
To learn more, join us for this free 1-hour webinar from GigaOm Research. The Webinar features GigaOm analyst Andrew Brust and special guest, Dan D’Orazio, Solution Architect from Matillion, champions of data transformation for cloud data warehouses.
In this 1-hour webinar, you will discover:
- Why high-volume data and master data are better together
- How the data warehouse is more relevant than ever
- Unique optimization points for loading semi-structured data and transforming structured data
Register now to join GigaOm Research and Matillion for this free expert webinar.
Who Should Attend:
- Chief Data Officers
- Business Intelligence Architects
- Cloud Architects
- Business Analysts
- Data Engineers
- Database Administrators and Developers