Companies need to embrace the three Vs of data: volume, variety, and velocity. There is an ever-growing need to process a growing volume of data, integrate it from multiple sources and systems, and facilitate real-time data processing and analysis. But how do you choose the right high-performance data architecture to meet these demands?
In this latest O’Reilly report, you’ll explore what this data architecture is, unpack its various design components, and uncover how these architectures improve data management in the cloud. You’ll also discover:
- Why databases keep evolving
- How to choose the right database for your company
- Design patterns for building a high-performance data architecture
- The impact of artificial intelligence (AI) on database architecture
By the end of this report, you’ll be ready to make more informed decisions about your data management strategy. You’ll also have a blueprint to improve the efficiency of your business.
About the Authors
Joe McKendrick is an author, independent researcher, and speaker exploring innovation, information technology trends, and markets. He is a regular contributor to Database Trends and Applications, Forbes, Harvard Business Review, and ZDNET.
Ed Huang is CTO and cofounder of PingCAP, the company behind TiDB, one of the most advanced open source, distributed SQL databases for modern applications. With over a decade of experience in the technology industry, he’s an expert in distributed systems, database architecture, and cloud computing.