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 40

AWS Open Source Linux Off-The-Shelf 40

Hacker Earth Developers Blog

JANUARY 18, 2023

Also read: Inside The Mind Of A Data Scientist HackerEarth: What are some of the mistakes/misconceptions (top 3) that you have seen recruiters or engineering managers make when hiring data scientists/data analysts? developed by companies like Facebook and Uber, which have been made open source.

Technical Review 264

Technical Review Artificial Inteligence Data Recruiting 264

CTOvision

DECEMBER 21, 2013

Sudhanshu Arora – Software Engineer, Cloudera. The Evolution of Machine Learning from Science to Software. Ryan Blue – Product Engineer, Cloudera, Sean Busbey – Solution Architect, Cloudera Government Solutions, Inc., Eric Sammer – Engineering Manager, Cloudera Cloudera.

Big Data 113

Big Data CTO Data Government 113

CTOvision

JANUARY 23, 2014

Sudhanshu Arora – Software Engineer, Cloudera. 2:00 PM The Evolution of Machine Learning from Science to Software. Ryan Blue – Product Engineer, Cloudera. Eric Sammer – Engineering Manager, Cloudera Cloudera 4:15 PM Adjourn/Networking Social. Eric Sammer, Engineering Manager, Cloudera.

CTO 117

CTO Big Data Data Government 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.

AWS 15

AWS Open Source Linux Engineering Management 15

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Model operations, testing, and monitoring.

Government 78

Government Artificial Inteligence Machine Learning Testing 78

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

DevOps 141

DevOps Data Software Review Technical Advisors 141

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 91

Data Analytics Machine Learning Artificial Inteligence 91

Altexsoft

APRIL 26, 2022

Informatica Cloud and Informatica PowerCenter are cloud data management tools that work collaboratively with Snowflake. Qlik AutoML — a no-code automated machine learning platform — is a readily available integration with no requirements. Here are a few possible options. It’s not serverless though. Pricing page.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Hacker Earth Developers Blog

APRIL 5, 2020

In our first episode of Breaking 404 , a podcast bringing to you stories and unconventional wisdom from engineering leaders of top global organizations around the globe, we caught up with Ajay Sampat , Sr. Engineering Manager, Lyft to understand the challenges that engineering teams across domains face while tackling large user traffic.

Engineering Management 190

Engineering Management Engineering Mobile Culture 190

CodeSignal

DECEMBER 18, 2019

Alex Sokolov, Senior Software Engineering Manager at iTechArt Group. I think recruiters in 2020 will start to leverage more advancing technologies such as big data, AI, machine learning, chatbots and more and incorporate all of these into their pre-screening, hiring, and onboarding processes. Cheers to that, Brianna!

Recruiting 19

Recruiting Trends Testing Engineering 19