As more organizations leverage hosted data warehouse environments and cloud-based reporting and analytics services, the challenges of data integration become more acute. In the past, data integration was straightforward: most of the data that flowed into the data warehouse originated well within the corporate firewall. Today, however, there is an increasingly varying mix of data sources, including on-premises data systems, cloud-based databases, and externally-produced third-party data, as well as data sourced from software-as-a-service (SaaS) environments. The diversity of these sources contributes to growing complexity in bringing the data together; different data refresh rates, streaming cadences, and timing differences confound conventional staging and bulk load processes, leading to increased operational efforts at best, and inconsistent results at worst.
However, we are well-positioned to adopt modern alternatives to conventional extract/load/transform (ELT) by leveraging the capabilities of cloud-built data warehouses. It is time to bring data together in the cloud. Instead of having a separate staging area and loading the data, consider using the database itself as a platform for integration and shifting the processing to a cloud-built data warehouse. In this webinar, we contrast the traditional ELT approaches of the past with the agile approaches enabled by high-performance cloud-based systems. Attendees will learn about:
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