Author: David Kaaret
David Kaaret has worked with major investment banks, mutual funds, and online brokerages for over 15 years in technical and sales roles.
He has helped clients design and build high performance and cutting edge database systems and provided guidance on issues including performance, optimal schema design, security, failover, messaging, and master data management.
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The Benefits of a Data Hub for Effective Data, Analytics and AI Governance
The successful implementation of a data governance policy imposes many obligations on a company’s IT infrastructure. In this blog, we’ll explore why a data hub architecture is a fitting approach for effectively integrating and governing complex, unstructured data in large organizations. -
3 Benefits of Adopting ISO 20022 Standard in Your Organization
Learn how adopting the ISO 20022 standard transforms the financial industry by improving analytics, payments processing and time to market for payments. -
How ISO 20022 Standard Impacts the Payments Industry
The financial messaging standard ISO 20022 is impacting the financial world. The synergy between ISO 20022 and Progress MarkLogic revolutionizes financial data management. -
Using Metadata Repository to Improve MDM Success
In banking every business line is its own master in its domain and its data is subject to its rules. Master Data Managment needs to consider all these masters (pardon the pun) but strong barriers prevent unifying all these silos. A metadata repository to bridge all these sources of truth is key. -
MarkLogic from a Relational Perspective: Part 4
Building the best solutions requires both the right technology and the right support. Learn how MarkLogic can help you succeed with complex data integration projects. -
MarkLogic from a Relational Perspective: Part 3
There are some important differences between SQL and MarkLogic. Here’s what to expect — and what you no longer have to worry about! -
MarkLogic from a Relational Perspective: Part 2
Data modeling works differently in MarkLogic than in relational. Learn how you can reduce your modeling and ETL efforts to deliver better results — even when you still want SQL views of your data. -
MarkLogic from a Relational Perspective: Part 1
Learn how the multi-model MarkLogic platform compares to other technologies, and why it’s the best solution for complex data integration. -
Will Your Artificial Intelligence Project Set Back Your Career?
Learn how you can anticipate and optimize your data access needs to more effectively determine AI project outcomes while avoiding potential technology and career pitfalls.
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