Certain vendors have suggested that the organization throw data into a data lake and then let end users analyze the data in the data lake. The data lake quickly turns into a data swamp or sewer. No one gets any value out of the data lake. In order to turn your data into something useful you need to turn your data lake into a Data Lakehouse. This presentation is all about the evolution of architecture and how to start to get value out of your data lake.
Category: Chapter Meetings
December 2022: Kùzu Graph Database Management System
Introduction to the Kùzu graph database management system (GDBMS) under development at University of Waterloo. Kùzu aims to integrate state-of-art storage, indexing, and query processing techniques to highly optimize for this feature set.
May 2022: NIEM – The Grand Translator for Data Exchange
NIEM is a common vocabulary that enables efficient information exchange across diverse public and private organizations. NIEM can save time and money by providing consistent, reusable data definitions and reusable processes. NIEM is available to everyone, including both public and private organizations.
April 2022: Enterprise Data Catalogs
What problems do data catalogs solve? Compliance, governance, analyst productivity, and even cloud migration.
March 2022: Quine, A Streaming Graph for Modern Data Pipelines
This talk will introduce Quine: a brand new open source “streaming graph interpreter” meant as a new fundamental infrastructure component to address major challenges in data engineering and simplify enterprise data pipelines.