Apiumhub

OCTOBER 7, 2021

Software Crafters Barcelona is a two day event which aims to attract and connect software development professionals. Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar. In addition to technical contents, it will be fun.

Software Review 52

Software Review Software Development Technical Review 52

Netflix Tech

MARCH 7, 2024

Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance. By targeting @titus, Metaflow tasks benefit from these battle-hardened features out of the box, with no in-depth technical knowledge or engineering required from the ML engineers or data scientist end.

System 90

System Artificial Inteligence Machine Learning Training 90

Mentormate

JANUARY 11, 2022

Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. Junior talent needs coaching and development. Only the largest engineering organizations have the scale to make this kind of continuous investment.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

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 56

Technical Review Microservices Software Review CTO Coach 56

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. This decision may be made for developers in organizations that have invested years building their backend on IaaS. Where Does AWS Amplify Fit?

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. This decision may be made for developers in organizations that have invested years building their backend on IaaS. Where Does AWS Amplify Fit?

AWS 52

AWS DevOps Disaster Recovery Serverless 52

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.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Advanced Test-Driven Development (TDD) , June 27. Test-Driven Development In Python , June 28. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 68

Course Training Artificial Inteligence Software Review 68

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. Key challenges. Performance.

Big Data 63

Big Data Data Storage Microservices 63

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 142

Microservices Weak Development Team Survey Architecture 142

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 322

Analytics Data Engineering Artificial Inteligence Machine Learning 322

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

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Advanced Test-Driven Development (TDD) , June 27. Test-Driven Development In Python , June 28. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 49

Course Training Artificial Inteligence Software Review 49

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. Depending on frameworks, data processing units (a.k.a

Data 63

Data Software Review Technical Review Microservices 63

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

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Agile Engine

APRIL 2, 2024

Introduction Outsourcing has long been a go-to strategy for companies seeking to optimize development costs, tap into specialized know-how, and speed up time-to-market. 64% of outsourced services worldwide are accounted for by software development. 64% of outsourced services worldwide are accounted for by software development.

UI/UX 52

UI/UX Development Software Development Quality Assurance 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. there’s a Python library for virtually anything a developer or data scientist might need to do. to be wary of.

Technical Review 142

Technical Review Microservices Data Engineering Architecture 142

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

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 95

Conference Artificial Inteligence UI/UX Machine Learning 95

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Development. Treat data as code.

Analytics 75

Analytics DevOps Development Software Review 75

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. Remember that these “units” are “viewed” by our users, who are largely professional software developers and programmers. What does this mean?

Trends 120

Trends Technical Review Technology Artificial Inteligence 120

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. This decision may be made for developers in organizations that have invested years building their backend on IaaS. Where Does AWS Amplify Fit?

AWS 10

AWS DevOps Disaster Recovery Serverless 10

OpenCredo

JULY 13, 2018

The development team is excited and engineering is going swimmingly. Either way, even if the engineering delivery is first rate, the resulting uptake of Project Positron, once delivered, will still be lower than expected because ready and willing users are not available. Project Positron: A Lack of Business Engagement.

Architecture 40

Architecture Fractional CTO CTO Coach Engineering 40

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

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. To enable the model reading this data, we need to process it, and transform into features that a model can consume. Generating predictions.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

Existek

JANUARY 11, 2022

Looking for a comprehensive guide on SaaS development? In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

Kentik

APRIL 11, 2016

Developed as a model for “processing and generating large data sets,” MapReduce was built around the core idea of using a map function to process a key/value pair into a set of intermediate key/value pairs, and then a reduce function to merge all intermediate values associated with a given intermediate key. . —

Big Data 40

Big Data Analytics Network Architecture 40

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 131

Weak Development Team Data Technical Review Survey 131

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 138

Trends Technical Review Technology Software Review 138

Kentik

DECEMBER 5, 2016

Ad-hoc data analysis answers key questions in real time. In an exciting development for Kentik, we’ve recently been recognized by IDC as a cloud monitoring innovator. In that post, Eric shows how he found issues on a group of internal hosts that were impacting a critical microservice. How does it work?

Network 40

Network Performance Metrics Software Review 40

Abhishek Tiwari

FEBRUARY 26, 2020

Skills++: Induct specialised Frontend, Backend & QA engineers, Technical Leadership 21-30 Engineers Focus: Building quality in products and continue to innovate while proactively planning team structure, incentives, and culture. Architecture: Small microservices targeting new features. Adopt DevSecOps best-practices.

Architecture 81

Architecture MVC Engineering Technology 81

O'Reilly Media - Ideas

MARCH 1, 2022

And Holochain is a decentralized framework for building peer-to-peer microservices–no cloud provider needed. NVIDIA has developed techniques for training primitive graphical operations for neural networks in near real-time. Serverless” development is declining. Dynaboard is a web development tool designed for remote work.

Trends 96

Trends Blockchain Serverless Malware 96

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 94

Continuous Delivery Google Cloud Data Engineering Microservices 94

Altexsoft

JUNE 6, 2019

Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. GPUs provide a huge computational power, so systems that run on such hardware can efficiently analyze vast amounts of data and generate more accurate forecasting results. JD.com’s chain of unmanned stores.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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

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