Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. A very big mess since circa 2001, and now becoming quite a dangerous mess.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

OCTOBER 11, 2023

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting.

Management 104

Management Metadata Analytics Dashboards 104

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. I can point to the year 2001. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109