Linux Academy

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. How to Get a Linux Job. This course helps prepare you for applying for and successfully obtaining a Linux Job. This course dives into LXC (Linux Containers) and its container manager, LXD. Build Your Own Linux From Scratch. AWS Essentials.

Linux 29

Linux Course AWS Google Cloud 29

Linux Academy

DECEMBER 1, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Members of the Linux Academy community come together and share their insights and questions. DevOps Essentials. Microsoft SQL Server on Linux Quick Start. Big Data Essentials.

Linux 26

Linux Course AWS Google Cloud 26

Linux Academy

SEPTEMBER 30, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Members of the Linux Academy community come together and share their insights and questions. How to Get a Linux Job. Build Your Own Linux From Scratch. Big Data Essentials.

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Linux Course Serverless Google Cloud 22

Linux Academy

AUGUST 29, 2019

To continually support you in your mission to learn and grow we are always adding new courses and free resources to begin developing your Linux and Cloud skills. Courses Free in September: Microsoft SQL Server On Linux Quick Start. Linux Networking and Trouble Shooting. How to Get a Linux Job. Git Quick Start.

Linux 18

Linux Course AWS Google Cloud 18

Linux Academy

NOVEMBER 1, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Members of the Linux Academy community come together and share their insights and questions. DevOps Essentials. Microsoft SQL Server on Linux Quick Start. Big Data Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. The post Cloud Migration Fundamentals appeared first on Linux Academy Blog. Last but not least is cloud optimization.

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Cloud Artificial Inteligence Data Center Artificial Intelligence 60

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

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Course Artificial Inteligence Training Blockchain 60

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Learn Linux in 3 Hours , January 18. Microservices Architecture and Design , January 16-17.

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Artificial Inteligence Course Training Blockchain 105

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30.

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Course Training Artificial Inteligence Machine Learning 46

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Agile and DevOps methodologies. Most common duties of an infrastructure engineer. Networking.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19.

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Artificial Inteligence Course Training Artificial Intelligence 12

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Supports Agile Project Management. Security and Compliance. Cyber security is of utmost importance. AKS has the solution for you.

Azure 12

Azure Applications Agile Systems Review 12

Altexsoft

DECEMBER 14, 2022

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features. Now the software is available for macOS, too.

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Weak Development Team Linux Operating System Virtualization 52

RapidValue

JANUARY 26, 2020

For example, Java applications will be running on Linux OS, SQL Server running on Windows OS, etc. One virtual machine can have a Linux Operating System, another VM can have a Windows Operating System and so on. For database, there is one specific machine with its specific OS and required software.

Transportation 89

Transportation Hardware Windows Virtualization 89

O'Reilly Media - Ideas

JANUARY 25, 2022

Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. Enterprises are investing heavily in Kubernetes and microservices; they’re building cloud native applications that are designed from the start to take advantage of cloud services. That’s no longer true. Programming Languages.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Operations or DevOps or SRE. The term “DevOps” has fallen on hard times. Operations, DevOps, and SRE. So yes, containerization is clearly a big deal.

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Programming Cloud Artificial Inteligence Machine Learning 145