Precisely

MARCH 3, 2025

Key Takeaways: Automation adoption is no longer optional especially if your business runs on SAP. You must navigate challenges like complexity, integration, and stakeholder alignment to drive success. The value of automation evolves with maturity from saving time and costs at early stages to enhancing agility, resilience, and competitive advantage at higher levels.

Process 59

Process Government Data Finance 59

Monte Carlo

MARCH 3, 2025

GenAI has already made an extraordinary impact on enterprise productivity. Marc Benioff has stated Salesforce will keep its software engineering headcount flat due to a 30% increase in productivity thanks to AI. Users leveraging Microsoft Co-pilot create or edit 10% more documents. But this impact has been evenly distributed. Powerful models are a simple API call away and available to all (as Meta and OpenAI ads make sure to remind us).

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

KDnuggets

MARCH 3, 2025

You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.

Data Engineering 116

Data Engineering Data Engineer Engineering Data 116

ArcGIS

MARCH 3, 2025

Learn the secret of how the Migrate to Utility Network tool migrates any geodatabase to a utility network.

Utilities 108

Utilities Building Data Management Management 108

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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

KDnuggets

MARCH 3, 2025

Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.

Python 113

Python Coding 113

databricks

MARCH 3, 2025

Databricks is excited to announce an expansion to our startup offer, providing game studios access to free credits, expert advice and a data and AI.

Accessible 95

Accessible Accessibility Entertainment Media 95

ArcGIS

MARCH 3, 2025

Learn about the latest updates in the ArcGIS Maps SDKs for Native Apps v200.6 to edit, trace, and synchronize offline utility networks.

Utilities 57

Utilities Data Management Management Data 57

Wayne Yaddow

MARCH 3, 2025

These strategies can prevent delayed discovery of quality issues during data observability monitoring in production. Photo by CDC on Unsplash Many data pipeline failures and quality issues that are detected by data observability tools in production could have been prevented earlier in the pipeline lifecycle with better pre-production testing strategies.

Data Pipeline 52

Data Pipeline Data Validation Data Datasets 52

Monte Carlo

MARCH 3, 2025

Most people have purchased something used at one point or another. If youve ever bought something used online, youve likely seen the product described based on its quality: Like New, Very Good, Good, Acceptable, Fair, or (worst of all) Poor. Look familiar? While it depends on the product, most shoppers tend to stray far away from any products labeled Poor, Fair, Acceptable, or even Good condition.

Data Cleanse 52

Data Cleanse Data Validation Data Data Governance 52