Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Linux Academy

JANUARY 1, 2020

Courses Free in January : Implementing Azure DevOps Development Processes. Azure Cloud Services and Infrastructure. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” DevOps Essentials. Azure Concepts.

Linux 31

Linux Course AWS Google Cloud 31

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Linux Academy

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data.

Linux 29

Linux Course AWS Google Cloud 29

Altexsoft

JULY 4, 2022

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The competencies of on-premises and cloud infrastructure engineers wouldn’t differ that much: They both build and maintain systems and networks to run business software and store data.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Linux Academy

DECEMBER 1, 2019

DevOps Essentials. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. DevOps Essentials. Azure Concepts. AWS Essentials.

Linux 26

Linux Course AWS Google Cloud 26

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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. Azure Kubernetes Service or AKS enables you to do that. Azure Kubernetes Service or AKS enables you to do that.

Azure 12

Azure Applications Agile Systems Review 12

Linux Academy

SEPTEMBER 30, 2019

We will install some of the more popular database systems that are available on Linux and see how to work with data in those systems. Azure Command-Line Essentials – This beginner-level course teaches the essentials of using the Azure CLI to manage your Azure environment using the command line. Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Linux Academy

NOVEMBER 1, 2019

DevOps Essentials. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. DevOps Essentials. Azure Concepts. AWS Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

AUGUST 29, 2019

Let’s take a quick look at how to install and configure SQL Server on Linux, whether we’re using a traditional machine, containers, or an Azure SQL VM. In the increasingly DevOps culture, source control has become a foundational skill for any IT Professional. Big Data Essentials. Azure Concepts.

Linux 18

Linux Course AWS Google Cloud 18

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Microservices with AWS Lambdas. Building Reliable Microservices with Microsoft Service Fabric. Purely Functional Scala.

Software Review 9

Software Review Software Development Technical Review Course 9

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.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

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

Existek

JANUARY 27, 2023

It provides a comprehensive set of features for building enterprise applications and is widely used for creating web applications, RESTful web services, and microservices. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. It eliminates upfront capital costs and avoids the risk of infrastructure vendor lock-in.

Cloud 49

Cloud AWS Azure Data Center 49

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. or—using Knative—in Kubernetes.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

JANUARY 25, 2022

AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. 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.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145