Thu.Dec 01, 2022

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A Tale of Betrayal and Heartbreak – Databricks Workflows and Jobs.

Confessions of a Data Guy

Nothing captures the imagination and heart like a tale of betrayal and heartbreak, and that is a tale I want to bring to you today. It’s a tale of Databricks Workflows and Jobs, version changes, new features, API’s, and insidious little hidden gems that will make you pull your hair out when you find them. […] The post A Tale of Betrayal and Heartbreak – Databricks Workflows and Jobs. appeared first on Confessions of a Data Guy.

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How I Got 4 Data Science Offers and Doubled My Income 2 Months After Being Laid Off

KDnuggets

In this blog, I shared my story on getting 4 data science job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a data science position can find something here to which they can relate.

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You Can’t Hit What You Can’t See

Cloudera

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.

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Scikit-learn for Machine Learning Cheatsheet

KDnuggets

The latest KDnuggets exclusive cheatsheet covers the essentials of machine learning with Scikit-learn.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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DataOps Observability and Automation to the Rescue!

DataKitchen

Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it’s hard to know where to start. Well, don’t worry because DataOps is here to help! In this post, we’ll discuss how DataOps Observability and Automation can relieve team stress and show you how to get started. So don’t wait any longer.

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Getting Started with PyTorch Lightning

KDnuggets

Introduction to PyTorch Lightning and how it can be used for the model building process. It also provides a brief overview of the PyTorch characteristics and how they are different from TensorFlow.

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move(data), The Data Practitioner Conference

KDnuggets

Join the data industry’s best and brightest on Dec 7 and 8 at the move(data) conference, and check out the 20+ lightning talks. Claim your ticket today!

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