Meet

O’Reilly – Meet the Expert Josh Biggley and Destiny Bertucci on Observability and Monitoring

April 15, 2021

O’Reilly – Meet the Expert Josh Biggley and Destiny Bertucci on Observability and Monitoring-iLLiTERATE
English | Size: 853.62 MB
Category: Tutorial

Has observability killed monitoring? Today the rearview understanding that monitoring provides no longer suffices. You need to know how your systems are performing right now.

O’Reilly – Meet the Expert Unlocking Ai With a Data Fabric With Sam Ramji and David Thomas

April 5, 2021

O’Reilly – Meet the Expert Unlocking Ai With a Data Fabric With Sam Ramji and David Thomas-iLLiTERATE
English | Size: 771.97 MB
Category: Tutorial

Today’s companies face increasing complexity in their data management systems and in the policies that govern that data.

O’Reilly – Meet the Expert With Peter Zaitsev on Developments and Trends in Open Source

April 3, 2021

O’Reilly – Meet the Expert With Peter Zaitsev on Developments and Trends in Open Source-iLLiTERATE
English | Size: 1.00 GB
Category: TUTORIAL

Open source databases have evolved rapidly over the last few years, in terms of both their features and their approach to licensing.

O’Reilly – Software Architecture Hour Architecture Meets Data

April 2, 2021

O’Reilly – Software Architecture Hour Architecture Meets Data-iLLiTERATE
English | Size: 1.1GB
Category: Tutorial

This is a Houdini waterfall tutorial, an advanced FLIP course with 10 episodes for over 2.5 hours, which includes terrain creation, FLIP simulation, whitewater source settings and whitewater simulation, materials adjustment, rendering, and compositing.

O’Reilly – Meet the Expert Aileen Nielsen on Fairness in Ai

March 30, 2021

O’Reilly – Meet the Expert Aileen Nielsen on Fairness in Ai-iLLiTERATE
English | Size: 1.56 GB
Category: Tutorial

Unfairness often-and unintentionally-occurs in data-driven machine learning models. While practitioners recognize this problem, organizations and individual practitioners alike lack formal training or guidelines to identify and remove unfairness.