KDnuggets

DECEMBER 5, 2024

Learn how to bring the power of AI right to your Android phone—no cloud, no internet, just pure on-device intelligence!

Cloud 125

Cloud 125

databricks

DECEMBER 5, 2024

At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.

Machine Learning 111

Machine Learning Coding Data 111

KDnuggets

DECEMBER 5, 2024

Let’s take a look at a concise roadmap to building a lasting and effective machine learning career.

Machine Learning 116

Machine Learning Building Computer Science Technology 116

ArcGIS

DECEMBER 5, 2024

Learn how to analyze uncertainty in your data using spatial statistics tools. Explore patterns of housing burden and make informed decisions with ArcGIS Pro 3.4.

Government 90

Government Data 90

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

Picnic Engineering

DECEMBER 5, 2024

In one of our previous blogs we wrote an article that explains the tools Error Prone and Refaster, and how we use them within Picnic. Now we will dive into how we built many extensions and rules for Error Prone. Building and extending a Java plugin that integrates directly with the compiler comes with some difficulties, and additionally, we’ll discuss some challenges that come with developing and maintaining an open source plugin within the Java ecosystem.

Java 40

Java Coding Project Building 40

Towards Data Science

DECEMBER 5, 2024

What does a data engineer do differently to a data scientist?

Data Engineering 75

Data Engineering Data Engineer Engineering Data Science 75

Zalando Engineering

DECEMBER 5, 2024

Introduction At Zalando, we continuously strive to enhance our platform capabilities to provide robust, scalable, and developer-friendly solutions. One such initiative is the integration of Open Policy Agent (OPA) into Skipper , our open-source ingress controller and reverse proxy, to deliver Authorization as a Service. This integration not only allows externalising authorization policies but also aligns with our goals of solving security concerns on the infrastructure with efficiency and develo

AWS 69

AWS Metadata Engineering Accessible 69

Precisely

DECEMBER 5, 2024

Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Traditionally, data enrichment can be lengthy and expensive, but implementing best practices for evaluating datasets and working with a data provider that offers data delivery options fit for your needs can accelerate time to value while reducing costs.

Datasets 69

Datasets Insurance Retail Data 69

Snowflake

DECEMBER 5, 2024

A revolution is underway as martech and adtech continue to converge around first-party data — and the revolution is happening on Snowflake. This seismic shift isn't a mere trend; it’s a game-changing transformation that will continue to shape the way that marketers and advertisers connect with consumers amid increasing privacy regulations, new identity frameworks and rising customer expectations.

Media 96

Media Retail Data Data Ingestion 96