Thu.Jan 23, 2025

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A Guide to Deploying Machine Learning Models to Production

KDnuggets

Lets learn how to move your model from development into production.

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The insertInto trap in Apache Spark SQL

Waitingforcode

Even though Apache Spark SQL provides an API for structured data, the framework sometimes behaves unexpectedly. It's the case of an insertInto operation that can even lead to some data quality issues. Why? Let's try to understand in this short article.

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Stop! Do This Before Applying for Jobs

KDnuggets

Learn these 3 simple (but lengthy) steps that you need to take before applying for jobs.

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Data Engineering Trends in 2025: Your Roadmap to Smarter Data Teams

Ascend.io

Data teams are under more pressure than ever before, with demands skyrocketing and technology outpacing teams ability to adapt. Understanding how your team stacks up against these challenges is crucialit could mean the difference between leading the charge and falling behind. Over the past five years, Ascend.io has conducted the industry-wide Pulse Survey to capture the current state of data teams.

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A Guide to Debugging Apache Airflow® DAGs

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

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The AI Tipping Point: What Public Sector Leaders Need to Know for 2025

Snowflake

AI is proving that its here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the public sector gets serious about AI's applications. But its complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AIs biggest cheerleaders are turning a bit dour. How to navigate such a landscape is top of mind for me and top executives such as Snowflakes CEO, Sridhar Ramaswamy; Snowflakes Distinguished AI Engineer, Yuxi

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2025 Planning Insights: Skills and Resource Shortages Impede AI Adoption and Data Program Success

Precisely

The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in the report, published in partnership between Precisely and Drexel Universitys LeBow College of Business. This years report is filled with actionable strategic insights from over 550 leading data and analytics professionals worldwide and its going to be an essential resource as you plan your 2025 data

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The key technologies behind SQL Comprehension

dbt Developer Hub

You ever wonder whats really going on in your database when you fire off a (perfect, efficient, full-of-insight) SQL query to your database? OK, probably not . Your personal tastes aside, weve been talking a lot about SQL Comprehension tools at dbt Labs in the wake of our acquisition of SDF Labs, and think that the community would benefit if we included them in the conversation too!

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Data Quality Governance That Actually Works

Monte Carlo

Here’s a thing people say all the time: Bad data costs businesses millions of dollars. This is usually followed by an earnest pitch for data quality governance – you know, the whole apparatus of rules and systems meant to keep your data clean and trustworthy. The logic goes something like: messy data lost money need governance problem solved.