Progress

DECEMBER 30, 2019

Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

O'Reilly Media - Ideas

MAY 1, 2019

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. Data Visualization with Matplotlib and Seaborn , June 4. Microservices Caching Strategies , June 17.

Course 62

Course Training Artificial Inteligence Machine Learning 62

Apiumhub

APRIL 18, 2019

We can’t wait to attend them all: Best practices in a modern (microservices) environment by Alvaro García. Micro Frontend: the microservice puzzle extended to frontend by Audrey Neveu. Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Responsible Microservices by Nate Schutta.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Microservices Architecture and Design , July 8-9. Practical Linux Command Line for Data Engineers and Analysts , July 22. Domain-driven design and event-driven microservices , July 23-24.

Course 69

Course Training Artificial Inteligence Software Review 69

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.

Conference 10

Conference Data Data Engineering Big Data 10

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

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. The Good and the Bad of Serverless Architecture. The Good and the Bad of Power BI Data Visualization. The Good and the Bad of Ionic Development.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Abhishek Tiwari

JULY 20, 2019

Depending on work you can choose a smaller team of similar expertise (for example a team with mostly frontend engineers) or a smaller team of diverse expertise (team with balanced frontend, backend, data engineers). Thirdly, let engineers themselves choose the delivery teams and organise them around the initiative.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. The Good and the Bad of Serverless Architecture. Deployment speed.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Software Engineer $110 000.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” That’s no longer true. Programming Languages.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

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. serverless, a.k.a. Serverless and other cloud technologies allow the same operations team to manage much larger infrastructures; they don’t make operations go away.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145