All Posts By

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.

Where did you grow up?

Ithaca, NY

Where did (do) you go to school?

Columbia University

Blockchain processing simplifies and speeds up regulatory reporting because the data needed for the reports is centrally stored, reducing financial crime as well as cost and risk. Post-trade processing can be sped up with Blockchain-based processing -- if a multi-model database is used for trade processing.
The reality is that a NoSQL solution can provide data quality that is equivalent or even greater than a traditional relational based approach while still providing for faster, less expensive and more flexible deployments. Here's how.
Object Oriented Programming and NoSQL are two vitally important assets. Here's how they can be brought together so that firms and developers can gain the benefits of both technologies.
Complex, diverse, and changing data structures are much easier to handle with a document based hierarchical database than with a rigid set of columns and rows. There are some differences between SQL and MarkLogic. Here's what to expect -- and what you no longer have to worry about!
Improving customer service in the mortgage industry is key. Start by bringing together all customer information and documents into a single, unified, metadata repository to provide the kind of first class service needed to keep costs down, keep customers happy -- and avoid lawsuits and regulatory fines.
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.
The key to securitization is to quickly pull all the information relating to specific mortgage and access them in an integrated fashion. Using all available data when pricing mortgages also offer competitive advantages. Here is how you can do it.
Any firm involved in mortgage processing, servicing, or securitization knows legal discovery and subpoena response is a risky, costly and error prone. A universal mortgage document or metadata repository should be the backbone of any discovery process in the mortgage industry. Here's why.
For mortgage metadata and mortgage document repositories, data complexity, scalability, security and data reliability are all non-negotiable. Here's how to ensure being enterprise ready.
Lack of a universal mortgage repository makes it impossible to handle the potentially thousands of different variants of documents that causes headaches for mortgage origination, processing or securitization. Here's how banks are remedying that.
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