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.

AWS 15

AWS Open Source Linux Engineering Management 15

Cloudera

OCTOBER 18, 2022

Cloudera was among these companies, and our initial solution was to invest in a combination of complicated spreadsheets and a cloud spend SaaS management tool — which itself was not cheap, but gave us a rapid view of our spend across the clouds.

Cloud 89

Cloud Analytics AWS Engineering 89

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Finally, modeling tools are improving, and automation is beginning to allow new users to tackle problems that used to be the province of experts. Why aren’t traditional software tools sufficient? Source: Ben Lorica.

Government 102

Government Artificial Inteligence Machine Learning Testing 102

Apiumhub

NOVEMBER 20, 2023

With 16 years of professional experience in software engineering, including roles as CTO and CEO, he has become a prominent speaker at Green Software events in Germany. 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

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

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. collect() Next, you can visualize the size of each document to understand the volume of data you’re processing.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

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

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

APRIL 26, 2022

Developed in 2012 and officially launched in 2014, Snowflake is a cloud-based data platform provided as a SaaS (Software-as-a-Service) solution with a completely new SQL query engine. As opposed to traditional offerings, Snowflake is a tool natively designed for the public cloud, meaning it can’t be run on-premises.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

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

O'Reilly Media - Ideas

JULY 28, 2020

The Ethical OS also provides excellent tools for thinking through the impact of technologies. AI is a powerful tool: use it for good. Product managers must ensure that AI projects gather qualitative information about customer behavior. Addressing the problem.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

CIO

JANUARY 23, 2025

Key areas where Intuit has performed FinOps automation include: Prepayment optimization Allocations and chargebacks Full allocations to avoid miscellaneous unknowns Accurate forecasting Cloud waste and collection reporting Roku Dieter Matzion, senior cloud governance engineer at Roku, emphasizes the 80/20 rule in managing cloud costs.

Cloud 172

Cloud Data Engineering Engineering Case Study 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

The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection. Finally, ODAP was designed to incorporate cutting-edge analytics tools and future AI-powered insights. Some of these tools included AWS Cloud based solutions, such as AWS Lambda and AWS Step Functions.

AWS 87

AWS Generative AI Artificial Inteligence Data 87