Data on demand or data as a service?
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
Author
David LoshinRSS
President, Knowledge Integrity, Inc.
President, Knowledge Integrity, Inc.
David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of data quality, master data management and business intelligence. David is a prolific author regarding data management best practices, via the expert channel at b-eye-network.com and numerous books, white papers, and web seminars on a variety of data management best practices. His book, Business Intelligence: The Savvy Manager’s Guide (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing and how all of the pieces work together.” His book, Master Data Management, has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at mdmbook.com . David is also the author of The Practitioner’s Guide to Data Quality Improvement. He can be reached at loshin@knowledge-integrity.com.
How to use a data catalog to get more value from your data lake
David Loshin explains how to set up a data catalog that will help you get more value from a data lake.
Naming things revisited
David Loshin recommends enforcing governed standards to help avoid conflicting analytical results.
Understanding big data identity resolution
David Loshin discusses big data identity resolution in a programming and execution environment.
Challenges in identity resolution on a big data platform
David Loshin says simple approaches to identity resolution may not scale on a big data platform as data volumes increase.
Transitioning to a hybrid data environment
David Loshin explores considerations for organizations gradually making the transition to Hadoop.
Challenges of moving Hadoop into production
David Loshin discusses two common roadblocks in moving Hadoop from proof-of-concept to production.
Master data usability: Understanding the issues in syndicating master data
David Loshin explains 4 struggles of syndicating master data across the enterprise.
Master data management: Why the unique identifier is critical for fighting fraud
David Loshin explains why MDM is such a valuable tool in helping to detect fraud.
Event stream processing, data quality and risk mitigation
David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.