The Agile Manager

JULY 31, 2022

There are shadow IT teams of developers or data engineers that spring up in areas like operations or marketing because the captive IT function is slow, if not outright incapable, of responding to internal customer demand. IT shadows appear in a lot of different forms. The scope taken out of the 1.0

Programming 59

Programming Engineering Data Engineering Innovation 59

Adrian Cockcroft

FEBRUARY 13, 2023

SUS206 Sustainability and AWS silicon  — Kamran Khan AWS Senior Product Manager Inferential/Trainium/FPGA, David Chaiken Pinterest Chief Architect, and Paul Mazurkiewicz AWS Senior Principal Engineer. Building a data lake of detailed information about energy use of many physical devices. SUS304 to SUS311 No talks with these codes.

AWS 64

AWS Energy Architecture Programming 64

The Netflix TechBlog

OCTOBER 30, 2020

I’m a Senior Analytics Engineer on the Content and Marketing Analytics Research team. My team focuses on innovating and maintaining the metrics Netflix uses to understand performance of our shows and films on the service. Being an Analytics Engineer is like being a hybrid of a librarian ?? But what do I actually do?

Analytics 136

Analytics Engineering Innovation Metrics 136

O'Reilly

FEBRUARY 2, 2020

Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering.

Software Architecture 68

Software Architecture Monitoring Software Engineering Architecture 68

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. there’s a Python library for virtually anything a developer or data scientist might need to do. In aggregate, data engineering usage declined 8% in 2019.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Abhishek Tiwari

JULY 20, 2019

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. One thing stand-out to me is being intentional and practical about your engineering organisation design. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model.

Engineering 61

Engineering Retail Airlines Healthcare 61

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 81

Technology Technology Architecture Engineering 81

The Netflix TechBlog

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137

The Netflix TechBlog

SEPTEMBER 10, 2019

However, the default reports only provide a summary view of the data with some powerful but limited filtering options. Our data scientists often want to apply their knowledge of the business and statistics to fully understand the outcome of an experiment. Our data scientists faced numerous challenges in our previous infrastructure.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. Let’s walk through some of the core experiences of QuickSight that make it so easy to set up, connect to your data sources, and build visualizations in minutes.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243