Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications.

Building 130

Building IT Metadata MongoDB 130

Scott Logic

NOVEMBER 6, 2022

In this episode, I’m joined by my colleague Ollie, and guests Johanna from Finnish National Gallery, and Lilly , a Blockchain & Web3 Specialist. As we’re discussing quite a challenging and volatile topic, I should state that the opinions raised in this podcast are personal views rather than the views of any current or former employer. In our conversation we ask the question “what is Web3.0”, and explore what it means to be a decentralised technology.

Technology 52

Technology Cloud IT 52

Data Engineering Podcast

NOVEMBER 6, 2022

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. Sonal Goyal created and open-sourced Zingg as a generalized tool for data mastering and entity resolution to reduce the effort involved in adopting those practices.

MongoDB 130

MongoDB Scala MySQL Machine Learning 130

Cloud Academy

NOVEMBER 6, 2022

At Cloud Academy , we manage a lot of data every day. We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers. Because of the variety of the data that we provide, we recently implemented Cube , a Headless BI solution.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

Data Engineering Weekly

NOVEMBER 6, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. Editor’s Note: #TwitterMigration Mastodon & the definition of Data Contract Last week I switched from Twitter to Mastodon.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Rock the JVM

NOVEMBER 6, 2022

This article is for aspiring Scala developers. As the Scala ecosystem matures and evolves, this is the best time to become a Scala developer, and in this piece you will learn the essential tools that you should master to be a good Scala software engineer. If you’re considering learning Scala, or you’re at the beginning of your Scala journey and you don’t know where to start, this article is for you.

Scala 40

Scala Java Programming Language Software Engineer 40