Fri.Aug 02, 2024

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Accelerate Feature Engineering With Photon

databricks

Training a high-quality machine learning model requires careful data and feature preparation. To fully utilize raw data stored as tables in Databricks, running.

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Organize, Search, and Back Up Files with Python’s Pathlib

KDnuggets

This tutorial will teach you how to simplifying your file management tasks, from organization to backup, using Python’s pathlib module.

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ArcGIS Solutions introduces Essential Data Models to Utility Network Foundation solutions

ArcGIS

Essential Data Models in the Utility Network Foundations

Utilities 121
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History and Future of LLMs

KDnuggets

Check out this concise history and future of large language models.

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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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How BT Group Built a Smart Event Mesh with Confluent

Confluent

BT Group's Smart Event Mesh - centralized event streaming with decentralized customer experience, automation, and a foundation—all built on Confluent.

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3 Surprising Use-cases for Branching in Airflow you’ve not seen before

Towards Data Science

Branching Conditionality is an important feature of many DAGs Continue reading on Towards Data Science »

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The Top 10 Data Lifecycle Problems that Data Engineering Solves

Towards Data Science

Clear strategies for addressing key pain points Continue reading on Towards Data Science »

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AI in Government – from prototype to production by Graham Odds

Scott Logic

Government departments are struggling to move artificial intelligence (AI) prototypes into production. But they’re not alone in this – I’ve seen economy-wide research (that I’m not allowed to cite, sorry!) indicating that most organisations are still at the investigation stage, a handful are at the piloting stage, and very few have deployed Generative AI (GenAI) in production.

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AWS DMS Redshift: Migrate Data to Redshift using AWS DMS

Hevo

In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most businesses use a data warehouse for their data storage solution, and one of the leading data warehousing solutions is Amazon Redshift.

AWS 52
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Snowflake is Dying??!! Data Breach!!

Confessions of a Data Guy

The post Snowflake is Dying??!! Data Breach!! appeared first on Confessions of a Data Guy.

Data 100
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.