Apiumhub

APRIL 18, 2019

700 Developers Will Gather in Barcelona for JBCNConf 2019! The JBCNConf 2019 is a meeting point for programmers and development professionals, who meet to network and learn about the Java world and its latest developments. We can’t wait to attend them all: Best practices in a modern (microservices) environment by Alvaro García.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. These standards have pros and cons.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

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

O'Reilly Media - Ideas

MAY 1, 2019

Developing Your Coaching Skills , June 18. 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.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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. This allows for easy horizontal scaling — just add new servers or data centers to your existing infrastructure to handle more amount of data.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

O'Reilly Media - Ideas

MARCH 6, 2019

Ingenious Game AI Development in Unity , April 11-12. Artificial Intelligence for Big Data , April 15-16. Hands-On Chatbot and Conversational UI Development , June 20-21. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Blockchain.

Course 10

Course Artificial Inteligence Training Microservices 10

Kentik

APRIL 11, 2016

But the current epoch of distributed computing is often traced to December of 2004, when Google researchers Jeffrey Dean and Sanjay Ghemawat presented a paper unveiling MapReduce. So in 2010 Google one-upped Hadoop, publishing a white paper titled “Dremel: Interactive Analysis of Web-Scale Datasets.”

Big Data 40

Big Data Analytics Network Architecture 40

InfoQ Culture Methods

DECEMBER 28, 2020

As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.

Continuous Delivery 97

Continuous Delivery Google Cloud Data Engineering Microservices 97

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

O'Reilly Media - Ideas

JANUARY 25, 2021

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We haven’t combined data from multiple terms. frameworks. We can’t just get faster processors.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145