O’Reilly

O`REILLY – Learn GCP Cloud Functions in One Hour Video Course

[FreeCoursesOnline.Me] O`REILLY – Learn GCP Cloud Functions in One Hour Video Course
English | Size: 297.63 MB
Category: Tutorial


Get started with Google Cloud Platform (GCP) and Cloud Functions in this one-hour video. Everything you need to know to get up and running quickly using serverless technology from GCP.

Oreilly Infrastructure And Ops Superstream Series CI/CD

Oreilly Infrastructure And Ops Superstream Series CI/CD-QUiD
English | Size: 3.98 GB
Category: Tutorial


The combination of modern distributed architectures and cloud environments offers powerful solutions for delivering applications that quickly yield business value. . .and increased complexity.

Oreilly Infrastructure And Ops Superstream Series CI/CD

Oreilly Infrastructure And Ops Superstream Series CI/CD-QUiD
English | Size: 3.98 GB
Category: Tutorial


The combination of modern distributed architectures and cloud environments offers powerful solutions for delivering applications that quickly yield business value. . .and increased complexity.

O`REILLY – Learn GCP Cloud Functions in One Hour Video Course

[FreeCoursesOnline.Me] O`REILLY – Learn GCP Cloud Functions in One Hour Video Course
English | Size: 297.63 MB
Category: Tutorial


Get started with Google Cloud Platform (GCP) and Cloud Functions in this one-hour video. Everything you need to know to get up and running quickly using serverless technology from GCP.

O’Reilly – Meet the Expert Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management REPACK

Oreilly Meet the Expert Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management REPACK-QUiD
English | Size: 1.21 GB
Category: Tutorial


Traditional rule-based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning techniques for data quality management enable cost-effective and scalable ways to manage data quality for a large amount of data. This presentation will discuss a use case that demonstrates how machine learning techniques can be used in data quality management on a big data platform in the financial industry