The Citus Data

MARCH 31, 2023

(Americas livestream, keynote, civic data, Datasette, SQLite, Postgres futures) The Distributed PostgreSQL problem & how Citus solves it , by Marco Slot who is the lead architect for the Citus database engine at Microsoft.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Apiumhub

OCTOBER 7, 2021

Understand your systems with OpenTelemetry by Carolina Zhou Lin – Software Engineer at Voxel Group and Xavier Belloso – Senior Software Engineer en baVel – Voxel Group. Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar.

Software Review 52

Software Review Software Development Technical Review 52

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 101

Data Engineering Engineering Data Tools 101

O'Reilly Media - Ideas

JULY 28, 2020

If you’re an AI product manager (or about to become one), that’s what you’re signing up for. For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way. Deployment.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Technology advancements in content creation and consumption have also increased its data footprint. We’ve compiled our speaking events below so you know what we’ve been working on.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Technology advancements in content creation and consumption have also increased its data footprint. We’ve compiled our speaking events below so you know what we’ve been working on.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Technology advancements in content creation and consumption have also increased its data footprint. Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers.

AWS 15

AWS Open Source Linux Engineering Management 15

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 Weak Development Team Software Review Technical Review 61

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 Artificial Inteligence Case Study 52

Cloudera

OCTOBER 18, 2022

This was envisioned as a one-stop solution to serve the different personas around cloud cost awareness: from senior leaders down to the frontline engineer. In the first iteration of Project CloudCost, we ingested data directly from the SaaS vendor but later moved to ingest usage data from the three cloud vendors’ public APIs.

Cloud 84

Cloud Analytics AWS Engineering 84

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 83

Data Analytics Machine Learning Artificial Inteligence 83

TechCrunch

SEPTEMBER 29, 2022

The startup, built by Stiglitz, Sourabh Bajaj , and Jacob Samuelson , pairs students who want to learn and improve on highly technical skills, such as devops or data science, with experts. Some classes, like this SQL crash course , are even taught by CoRise employees.

Course 180

Course Technical Review Machine Learning Artificial Inteligence 180

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

O'Reilly Media - Ideas

JUNE 19, 2019

These ML development tools are designed specifically to help teams of developers, machine learning engineers , and data scientists collaborate, manage, and reproduce , ML experiments. hyperparameter tuning, NAS ) while emphasizing the ease with which one can manage, track, and reproduce such experiments.

Government 80

Government Artificial Inteligence Machine Learning Testing 80

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. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

NOVEMBER 28, 2019

A business intelligence developer is a type of an engineering role that’s in charge of developing, deploying, and maintaining BI interfaces. Those include query tools, data visualization and interactive dashboards, ad hoc reporting, and data modeling tools. A reporting layer is the final point for data.

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22