O'Reilly Media - Ideas

JUNE 19, 2019

Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Discussions around machine learning tend to revolve around the work of data scientists and model building experts. Demand for tools for managing ML in the enterprise.

Government 103

Government Artificial Inteligence Machine Learning Testing 103

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. His primary responsibility is to integrate sustainability into the engineering roadmap and utilize the company’s portfolio to champion sustainability solutions.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

The Citus Data

MARCH 31, 2023

(on-demand talk, Citus open source user) 6 Citus engineering talks Citus & Patroni: The Key to Scalable and Fault-Tolerant PostgreSQL , by Alexander Kukushkin who is a principal engineer at Microsoft and lead engineer for Patroni. And if this 2023 edition of the ultimate guide is useful (or not), please let me know.

Azure 84

Azure Open Source Virtualization Software Engineering 84

Altexsoft

JULY 19, 2022

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. How a data mesh may look like.

Architecture 52

Architecture Data Analytics Data Engineering 52

Apiumhub

OCTOBER 7, 2021

Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar. Your feedback generates bugs in production by Eli Maruenda Joya – Engineering Manager at Holaluz.com, Inma Navas Peña – Software Engineer at MANGO.

Software Review 52

Software Review Software Development Technical Review 52

AWS Machine Learning - AI

SEPTEMBER 3, 2024

These powerful frameworks simplify the complexities of parallel processing, enabling you to write code in a familiar syntax while the underlying engine manages data partitioning, task distribution, and fault tolerance. He helps customers architect and build highly scalable, performant, and secure cloud-based solutions on AWS.

Serverless 99

Serverless AWS Artificial Inteligence Big Data 99

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Abhishek Tiwari

JULY 20, 2019

This leads to endless meetings where engineering management get involved to discuss what's to be built, how to break up dependencies in manageable chunks and delegate them to various teams. 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

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

O'Reilly Media - Ideas

JULY 28, 2020

Unlike traditional software engineering projects, AI product managers must be heavily involved in the build process. Many mature DevOps processes and tools, honed over years of successful software product releases, make these processes more manageable, but they were developed for traditional software products.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

CIO

JANUARY 23, 2025

IT professionals have been striving to manage cloud costs effectively since the inception of cloud computing. Today, many organizations are applying automation to FinOps practices, which can produce even greater cost savings. See also: Will FinOps help reduce cloud waste in organizations?

Cloud 172

Cloud Data Engineering Engineering AWS 172

CIO

FEBRUARY 20, 2025

Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. Moreover, the cost of maintaining outdated software, with a shrinking number of software engineers familiar with the apps, can be expensive, he says.

Software Review 162

Software Review Weak Development Team Technical Review Cloud 162

AWS Machine Learning - AI

APRIL 3, 2025

Data is one of the most critical assets of many organizations. Challenges By using advanced data and analytics capabilities, organizations can gain valuable insights into their operations, industry trends, and customer behaviors, leading to more informed strategies and increased insight.

AWS 71

AWS Generative AI Artificial Inteligence Data 71