Fri.Feb 21, 2025

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Becoming an Machine Learning Engineer in 2025

KDnuggets

Read some honest advice on how to become a machine learning engineer.

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On-Prem vs. The Cloud: Key Considerations 

phData: Data Engineering

The Greek philosopher Heraclitus (c. 535 BCE475 BCE) proclaimed, There is nothing permanent except change. Ironically, all these years later, Heraclituss sentiment remains true. Progress is frequent and continuous, especially in the realm of technology. The advent of one technology leads to another, which sparks another breakthrough, and another. In only a matter of years, this domino effect can produce a world irrecognizable from years prior.

Cloud 52
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Upskill on foundational data and AI competencies with free training from Databricks

databricks

As part of our commitment to help upskill the current and future workforce, we are excited to announce new, free courses to help professionals learn.

Data 109
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Using DistilBERT for Resource-Efficient Natural Language Processing

KDnuggets

DistilBERT is a smaller, faster version of BERT that performs well with fewer resources. Its perfect for environments with limited processing power and memory.

Process 105
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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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Automate publishing CAD and BIM from ArcGIS Pro

ArcGIS

Use BIM Cloud Connection in ArcGIS Pro to import CAD and BIM data and automate steps in publishing web scenes using a rail project scenario.

Cloud 101
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Python for Absolute Beginner

WeCloudData

Python is a versatile and powerful programming language widely used for web development, data analysis, and artificial intelligence. It has gained huge popularity for its simplicity and readability making it a valuable skill for career opportunities. Python is a beginner-friendly programming language known for its simple syntax and versatility, making it an excellent choice for […] The post Python for Absolute Beginner appeared first on WeCloudData.

Python 52

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AI’s Biggest Flaw? The Blinking Cursor Problem by Colin Eberhardt

Scott Logic

AIs potential is immense, yet clunky user interfaces and a lack of discoverability are holding it back from seamless adoption. To unlock AIs true power, we need interfaces that guide, adapt, and engagemoving beyond the blinking cursor to something more intuitive, proactive, and, ultimately, more human. Every day I find myself reflecting on the gap between the ever-growing capability of AI, and the somewhat modest impact it is having on our day-to-day life.

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Healthcare Data Integration: Key Components, Challenges & Tools Explained

Hevo

As the advancements in healthcare technologies continue to increase, the amount of healthcare data recorded also increases. This ranges from patient records and clinical trials to insurance claims and operational data. Healthcare organizations store a lot of this information and data.

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The Open Platform Mandate

databricks

The Future of Data and AI Belongs to Open and Portable Platforms The promise of AI has never been greater. As organizations race to.

Data 59
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Earth’s Hottest Line: Mapping the Thermal Equator

ArcGIS

An ArcGIS Pro workflow to delineate the thermal equator.

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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.

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What's new with Databricks SQL, February 2025

databricks

Databricks SQL continues to evolve with new features and performance improvements designed to make it simpler, faster, and more cost-efficient. Built on the lakehouse architecture.

SQL 58
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Automate CAD and BIM publishing with building scene layers

ArcGIS

This deep dive walks GIS analysts through steps for automated publishing of CAD and BIM data using building scene layers.

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Complex Data Transformations — Test Planning Best Practices

Wayne Yaddow

Complex Data TransformationsTest Planning Best Practices Ensuring data accuracy with structured testing and best practices Photo by Taylor Vick on Unsplash Introduction Data transformations and conversions are crucial for data pipelines, enabling organizations to process, integrate, and refine raw data into meaningful insights. However, errors in transformations and conversions can propagate through entire data ecosystems, leading to inaccurate reports, flawed analytics, and broken downstream pr

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Iceberg Catalogs: Key Features, Benefits, and Insights You Should Know!

Hevo

Imagine you’re managing a massive lake of data, but without a solid catalog, you find yourself: But, with an Iceberg Catalog in place, you can: An iceberg catalog is a sophisticated metadata management system for your data lake, meticulously tracking critical information such as data structure, lineage, and location.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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What is Data Orchestration?[+Steps, Components, Tools]

Hevo

This guide dives into data orchestration, its components, tools, importance, and best practices in data. It can be defined as the process or a tool that manages data-related activities. It automates the process of coordinating, integrating, and managing data from various sources instead of manually handling each task.

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