Perficient

MAY 9, 2023

If done well, this is where your organization achieves true cloud maturity and is on its way to unlocking the incredible innovation possible with modern cloud, including data & analytics, AI / ML and automation – and lowering capital investments in data centers, support vendors and licensing commitments.

Enterprise 116

Enterprise Cloud Weak Development Team Quality Assurance 116

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. Architecting with Google Compute Engine Specialization. Google Cloud Fundamentals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

O'Reilly Media - Ideas

JUNE 4, 2019

Leadership Communication Skills for Managers , July 29. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 69

Course Training Artificial Inteligence Software Review 69

Xebia

JANUARY 19, 2023

. – Joe Reis and Matt Housley, Fundamentals of Data Engineering Principles of data engineering architecture: Choose common components wisely. Architecture is leadership. Build loosely coupled systems. Strong leadership skills combined with high technical competence are rare and extremely valuable.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

O'Reilly Media - Ideas

JUNE 5, 2019

Leadership Communication Skills for Managers , July 29. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 51

Course Training Artificial Inteligence Software Review 51

O'Reilly Media - Ideas

JUNE 22, 2022

Of all jobs in the computing industry, cloud computing is probably the most amenable to remote work. After all, you’re working with systems that are remote by definition. You’re not reliant on your own company’s data center. The salaries and salary increases for the two Google certifications are particularly impressive.

Survey 133

Survey Cloud Google Cloud Training 133

Altexsoft

JULY 1, 2021

Data scientists and machine learning engineers can use Azure ML to deploy their workloads in the cloud, distribute training across cloud resources, deploy machine learning models to production, and scale them as needed. Google Cloud ML. VMware Horizon Cloud. Google Cloud SQL. and ISO 27001.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59