Progress

DECEMBER 30, 2019

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. You’re developing a greenfield application that doesn’t require any external data or auth systems. When Should I Use Progress Kinvey?

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Apiumhub

APRIL 18, 2019

Java is a programming language chosen by companies such as Google, IBM or Mastercard for the creation of websites and mobile applications, being present in more than 15,000 million electronic devices in the world such as mobile phones, game consoles, computers, tablets or even supercomputers. Responsible Microservices by Nate Schutta.

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. For now, we’ll focus on Kafka.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

Mentormate

JANUARY 11, 2022

While writing custom code to create a new product or service is often necessary to meet your business requirements, modern low-code or no-code platforms usually provide a viable complement, especially for line-of-business applications. That lack of support leaves the citizen report builders and data scientists with no way to act on that data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Applications , August 15.

Course 62

Course Training Artificial Inteligence Software Review 62

O'Reilly Media - Ideas

JULY 15, 2020

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

Microservices 138

Microservices Weak Development Team Survey Architecture 138

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Applications , August 15.

Course 47

Course Training Artificial Inteligence Software Review 47

Apiumhub

OCTOBER 7, 2021

Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar. Most of us have heard of Trunk Based Development, Continuous Deployment and Microservices. Implement search for your application using Elasticsearch.

Software Review 52

Software Review Software Development Technical Review 52

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Native frameworks.

Big Data 63

Big Data Data Storage Microservices 63

Abhishek Tiwari

JULY 12, 2018

In this post, we will discuss why you should avoid building data pipelines in first place. Depending on the use cases, it is quite possible that you can achieve similar outcomes by using techniques such as data virtualisation or simply building microservices. It can be used to power new analytics, insight, and product features.

Data 63

Data Software Review Technical Review Microservices 63

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. 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. Systems engineering and operations.

Course 44

Course Training Artificial Inteligence Machine Learning 44

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 309

Analytics Data Engineering Artificial Inteligence Machine Learning 309

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

MAY 27, 2020

The automation capabilities and predictions produced by ML have various applications. Depending on the organization needs and the field of ML application, there will be a bunch of scenarios how models can be built and applied. Triggering the model from the application client. Application client : sends data to the model server.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

O'Reilly Media - Ideas

FEBRUARY 18, 2020

It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties. Among the JavaScript-based web application frameworks, React gained in popularity (+4% in usage) as Angular (-12% in usage) slipped between 2018 and 2019. This follows a 3% drop in 2018.

Technical Review 137

Technical Review Microservices Data Engineering Architecture 137

Progress

DECEMBER 30, 2019

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. You’re developing a greenfield application that doesn’t require any external data or auth systems. When Should I Use Progress Kinvey?

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Kentik

DECEMBER 5, 2016

In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application. In that post, Eric shows how he found issues on a group of internal hosts that were impacting a critical microservice.

Network 40

Network Performance Metrics Software Review 40

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Kentik

APRIL 11, 2016

The result sets also need to be continually regenerated to incorporate new source data. And the lag between events and data availability can make it difficult to answer real-time questions. So even with data cubes, Hadoop’s value in time-dependent applications is inherently constrained. Big Data in real time.

Big Data 40

Big Data Analytics Network Architecture 40

O'Reilly Media - Ideas

MARCH 6, 2019

Blockchain Applications and Smart Contracts , April 2. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 10

Course Artificial Inteligence Training Machine Learning 10

O'Reilly Media - Ideas

MARCH 1, 2023

The two are closely related, of course; while the concept of design patterns is applicable to any programming paradigm, object-oriented programming (particularly Java, C#, and C++) is where they’ve taken hold. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception.

Trends 131

Trends Technical Review Technology Software Review 131

Kentik

NOVEMBER 16, 2015

Applications now have to scale horizontally to meet performance requirements. KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Moore’s law is effectively over.

Metrics 40

Metrics Microservices Linux Architecture 40

Kentik

FEBRUARY 7, 2023

In an ideal world, organizations can establish a single, citadel-like data center that accumulates data and hosts their applications and all associated services, all while enjoying a customer base that is also geographically close. Dallas, Texas, is where our customer data was backed up for reliability/fault tolerance.

Network 59

Network Cloud Data Data Center 59

Cloudera

APRIL 26, 2023

Can you achieve similar outcomes with your on-premises data platform? Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. You absolutely can. What is cloud native exactly?

Cloud 66

Cloud Data Load Balancer Storage 66

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

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait So BPM is today another form of low-code application development. DMN will progressively replace traditional Business Rule Management Systems (BRMS).

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

MARCH 1, 2022

And Holochain is a decentralized framework for building peer-to-peer microservices–no cloud provider needed. Poor data quality, lack of accountability, lack of explainability, and the misuse of data–all problems that could make vulnerable people even more so. Is it another component of Web3 or something new and different?

Trends 88

Trends Blockchain Serverless Malware 88

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 14, 2022

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. With the help of Docker, applications including their environment can be provided in parallel and isolated from one another on a host system. Typical areas of application of Docker are.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. What data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

Daniel Bryant

SEPTEMBER 13, 2019

In relation to this, the HashiCorp Cloud Operating Model was once again on full display, and I believe that this is a very useful tool to help understand and plan the evolution of applications and infrastructure. 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

Altexsoft

JUNE 6, 2019

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. Relying on knowledge from data when making decisions can help retailers “move faster,” thinks Adam Carrigan.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Agile Engine

APRIL 2, 2024

Typical roles you’ll find on dedicated teams include: Application developers Quality assurance experts and software testers UI/UX designers AI and data engineers Project managers Other specialized experts tailored to your project’s specific needs When are dedicated teams a good idea for your company?

UI/UX 52

UI/UX Development Software Development Quality Assurance 52

Cloudera

OCTOBER 14, 2020

A single, unified infrastructure for both majority of batch workloads and microservices. Kubernetes offers a simplified way to manage infrastructure and applications with a practical approach to isolate workloads, limit the use of resources, deploy on-demand resources, and auto-scaling capabilities as needed. Application concept.

Policies 120

Policies Resources Systems Review Technical Review 120