CIO

MAY 10, 2024

Service-oriented architecture (SOA) Service-oriented architecture (SOA) is an architectural framework used for software development that focuses on applications and systems as independent services. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

Linux Academy

JANUARY 1, 2020

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. AWS Essentials. DevSecOps Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

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. AWS Essentials. DevSecOps Essentials.

Linux 29

Linux Course AWS Google Cloud 29

RapidValue

JULY 31, 2019

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? For example, a web app could be written using both microservices and serverless code.

Serverless 47

Serverless Architecture Cloud Development 47

O'Reilly Media - Ideas

FEBRUARY 5, 2019

Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption. The signs of a Next Architecture. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data.

Trends 106

Trends Artificial Inteligence Blockchain Microservices 106

Linux Academy

DECEMBER 1, 2019

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. AWS Essentials. DevSecOps Essentials.

Linux 26

Linux Course AWS Google Cloud 26

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Programming.

Course 93

Course Training Artificial Inteligence Software Review 93

CIO

FEBRUARY 14, 2023

Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. It’s also used to deploy machine learning models, data streaming platforms, and databases.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. An example can be the backend architecture for an insurance product. This leads us to event streaming microservices patterns.

Microservices 110

Microservices Architecture Software Review Insurance 110

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.

Course 87

Course Artificial Inteligence Training Blockchain 87

Apiumhub

OCTOBER 18, 2022

On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Attendees Profiles.

Software Review 52

Software Review Architecture Technical Review Software 52

RapidValue

JUNE 16, 2020

Modernize Application Architecture. While working on Cloud Native application development, we need to make our application architectures more reactive leveraging Microservices. You should adopt a fast monolith approach by moving the existing architecture to a more modular, service-based architecture, and API-based communication.

Applications 90

Applications Cloud Development Microservices 90

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. Developing Incremental Architecture , February 11-12. Microservices Architecture and Design , January 16-17.

Course 111

Course Artificial Inteligence Training Blockchain 111

Altexsoft

MAY 27, 2020

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. Reasonably, with the access to data, anyone with a computer can train a machine learning model today.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

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 17

Artificial Inteligence Course Training Artificial Intelligence 17

Mobilunity

APRIL 7, 2025

This language has proven itself an ideal fit for growth-oriented cost optimization strategies due to its platform independence, enterprise-grade scalability, open-source ecosystem, and strong support for cloud-native architectures. Lets review them in detail in the table below.

UI/UX 40

UI/UX Technical Review Development Software Review 40

Linux Academy

APRIL 30, 2019

This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. If so, this is the course for you.

Linux 113

Linux AWS Big Data Course 113

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , April 15. Real-Time Data Foundations: Flink , April 17. Data Pipelining with Luigi and Spark , April 17. Real-Time Data Foundations: Time Series Architectures , April 18.

Course 15

Course Artificial Inteligence Training Machine Learning 15

Linux Academy

NOVEMBER 1, 2019

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. AWS Essentials. DevSecOps Essentials.

Linux 104

Linux Course AWS Google Cloud 104

Confluent

JULY 23, 2019

I remember two to three years back, I spent all my time listening to talks about various ETL architectures in the Pipelines track. Last year, I attended mostly sessions about event-driven microservices, and this year, I’m especially interested in talks about running Kafka at scale and internals—good thing there are many of those!

Conference 18

Conference Architecture Microservices Software Engineering 18

Netflix Tech

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 131

Network IPv6 Transportation AWS 131

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. Use Secrets to protect sensitive data like passwords. Big Data Essentials – Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Build images using a Dockerfile.

Linux 104

Linux AWS Azure Technical Review 104

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Programming.

Course 66

Course Training Artificial Inteligence Software Review 66

Linux Academy

SEPTEMBER 30, 2019

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. AWS Essentials. DevSecOps Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Apiumhub

NOVEMBER 17, 2022

Speakers include: Simon Brown – Creator of the famous C4 model, Author of “Software Architecture for Developers” & Founder of Structurizr. Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”.

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81

Datavail

JUNE 9, 2020

The platform also has a separate module Oracle GoldenGate for Big Data , which supports replication into many big data NoSQL targets. Meanwhile, automatic CDR helps detect and fix conflicts when the same data is updated simultaneously in different locations. Microservices. Automation. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. So it was critical to instrument every component leading to, around, and within our data engine.

Metrics 40

Metrics Microservices Linux Architecture 40

Apiumhub

MARCH 26, 2019

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona. Michael Feathers.

Software Review 44

Software Review Architecture Technical Review Software 44

Confluent

OCTOBER 10, 2019

Let’s now take a look at the 10,000-foot view of a robust IoT integration architecture. End-to-end enterprise integration architecture. IoT integration architectures need to integrate the edge (devices, machines, cars, etc.) with the datacenter (on premises, cloud, and hybrid) to be able to process IoT data.

IoT 20

IoT Internet Weak Development Team Scalability 20

UruIT

DECEMBER 31, 2018

O’Reilly Software Architecture Conference. This is the ideal conference for you if you want to learn everything related to software architecture. Course titles include (among others) Big Data for Managers, Hands-On Data Science with Python, and Building a Serverless Big Data Application on AWS.

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

Netflix Tech

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Data 100

Data Microservices Storage Examples 100

Confluent

SEPTEMBER 26, 2019

explains in more detail why many new integration architectures leverage Apache Kafka instead of legacy tools like RabbitMQ, ETL, and ESB. bank transactions) to ensure reliable messaging and processing with high availability, exactly once semantics, and zero data loss. Kafka Connect is a core component in event streaming architecture.

Analytics 21

Analytics Serverless Blockchain Microservices 21

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 59

Course Training Artificial Inteligence Machine Learning 59

Linux Academy

NOVEMBER 1, 2019

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. AWS Essentials. DevSecOps Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

JUNE 25, 2019

MicroService Applications In Kubernetes. This course provides hands-on experience with installing and administering a complex microservice application in a Kubernetes cluster. Once the cluster has been bootstrapped, we will learn how to install a simple microservice and a more complex microservice application after.

Linux 60

Linux Course Cloud Google Cloud 60

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. An end-to-end architecture for the Internet of Things. We’ll also provide demo code so you can try it out for yourself.

IoT 98

IoT Google Cloud Scalability Microservices 98

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