Improving Patient Insights With Textual ETL in the Lakehouse Paradigm

This blog post is the result of a collaboration with our partner Databricks, the Data + AI company. A special thanks to Amir Kermany, Technical Director, Healthcare and Life Sciences at Databricks and Michael Sanky Global Industry Lead, Healthcare & Life Sciences at Databricks. The amount of healthcare data generated today is unprecedented and rapidly expanding with the growth in […]

Finding Sentiment and the Value Within

Sentiment analysis in the call center: Hear the Voice of the Customer. Nearly every corporation has a call center. Ask an executive if his/her organization has a call center and the odds are good that the executive will say yes. Then you ask the executive whether or not he/she knows what is going on in the call center. The executive […]

Evolution to the Data Lakehouse

The Original Data Challenge With the proliferation of applications came the problem of data integrity. The problem with the advent of large numbers of applications was that the same data appeared in many places with different values. In order to make a decision, the user had to find WHICH version of the data was the right one to use among […]

DATA LAKE ARCHITECTURE

Big Data started out as a replacement for data warehouse. The Big Data vendors are loathe to mention this fact today. But if you were around in the early days of Big Data, one of the central topics that was discussed was – if you have Big Data do you need a data warehouse? From a marketing standpoint Big Data […]

WHO IS THE FATHER OF DATA WAREHOUSE?

Long ago I stopped advertising myself as the ”father of data warehouse” . In fact I haven’t done much pioneering work in data warehouse in years. But occasionally Barry Devlin appears and claims that he is the father of data warehousing. The implication is that Barry is responsible for the concept of data warehousing. I choose to not deal with […]

Building the Unstructured Data Warehouse: Architecture, Analysis, and Design

Learn essential techniques on creating your unstructured data warehouse from Forest Rim Technology founder, CEO and data warehouse legend Bill Inmon on how to build the reporting environment your business needs now! Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it […]

Business Metadata: Capturing Enterprise Knowledge

Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, Forest Rim Technology founder, CEO and the father of the data warehouse, the book is filled with war stories, examples, and cases from current projects […]

Building the Data Warehouse

Building the Data Warehouse: Everything you need to know to design, develop, and build your data warehouse, written by Forest Rim Founder and CEO. Bill Inmon.  The data warehouse solves the problem of getting information out of legacy systems quickly and efficiently. If designed and built right, data warehouses can provide significant freedom of access to data, thereby delivering enormous […]