Fundamental aspects of cloud computing reduce or even eliminate technical dependencies that have constrained the traditional data warehouse design and architecture. As organizations are increasingly deploying their reporting and analytics applications to the cloud, the emerging conventional wisdom is that innovations in how cloud services and resources are employed can significantly streamline development, reduce total cost of operations, speed response time, allow for elasticity in supporting concurrent workloads, and generally improve analytics performance.
In this talk, David Loshin examines how emerging architecture paradigms are leveraging foundational aspects of cloud computing (such as decoupling data from computing resources, effectively unlimited resource scalability, seamless data distribution, and massively parallel computing). In turn, we look at emerging best practices that are informing enterprise data management across an increasingly complex hybrid cloud environment.
Attendees will learn about:
- Integrated data pipelines
- Tools and techniques for data awareness
- Data lakes and data lakehouses
- Seamless self-service for data democratization
- Built-in data governance