Building a Modern Operational Data Warehouse: Seven Tips for Success with Hybrid Data
Webinar Speaker: Philip Russom, Senior Research Director for Data Management
Date: Wednesday, March 27, 2019
Time: 9:00 a.m. PT, 12:00 p.m. ET
With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
Hybrid data and hybrid data management architectures are here already. To get full business value from these, you need an appropriate platform, and that’s where the modern operational data warehouse (ODW) comes in. It is a hybrid data management solution that unifies hybrid data from multiple operational systems and sources to provide analytics insights quickly enough to impact operational decisions—like real-time offers, network optimization, fraud detection, and investment decisions.
In this TDWI webinar, you will learn about:
- What a modern operational data warehouse (ODW) is and does
- How a modern ODW succeeds where old approaches fell short
- How a modern ODW incorporates recent innovations, such as parallel execution, columnar data, in-memory execution, optimized for continuous updates, distributed file systems, scalable clusters, and cloud services
- Modern ODW successes as seen in real-world use cases, such as real-time operational reporting and analytics, management dashboards, catching fraud before the cash leaves the ATM, and making an offer before the potential customer leaves the store or website
Philip Russom, Ph.D.