Fri.Dec 20, 2024

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Secure External Access to Unity Catalog Assets via Open APIs

databricks

We're excited to announce the Public Preview of credential vending for Unity Catalogs open APIs, allowing external clients to securely access Unity Catalog.

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Designing a Declarative Data Stack: From Theory to Practice

Simon Späti

What started as a straightforward implementation guide for a declarative data stack quickly evolved into something more fundamental. While attempting to build a system that could define an entire data stack through a single YAML file, I encountered architectural questions that challenged my initial assumptions: Should we generate production-ready code from templates or create a boilerplate repository with best-in-class tools?

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How to Get Addicted to Machine Learning

KDnuggets

A simple guide for getting hooked to machine learning and building a successful career in the field.

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PostgreSQL Query Optimization: 10 Best Tricks & Techniques (Explained with Code)

Hevo

PostgreSQL is one of the most popular open-source choices for relational databases. It is loved by engineers for its powerful features, flexibility, efficient data retrieval mechanism, and on top of all its overall performance. However, performance issues can be encountered with the growth in the size of data and complexity of queries.

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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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HuggingChat is the One LLM App You Shouldn’t Overlook

KDnuggets

Check out this excellent chat tool you may not know about.

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The Power of Predictive Analytics in Healthcare: Using Generative AI and Confluent

Confluent

Learn how predictive analytics, powered by generative AI and Confluent, transforms healthcare by improving outcomes, reducing costs, and enabling real-time decisions.

More Trending

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Integrating Salesforce with Snowflake

Confluent

Learn how to integrate Salesforce with Snowflake to streamline CRM data, improve analytics, and explore common use cases.

Data 69
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Understanding Streaming Data Pipelines

Hevo

In this fast-paced digital era, multiple sources like IoT devices, social media platforms, and financial systems generate the data continuously and in real-time.  Every business wants to analyze these data in real-time to be ahead in the competitive game.  Streaming Data Pipeline is becoming a game changer in this area.

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Predictive Analytics: How Generative AI and Data Streaming Work Together to Forecast the Future

Confluent

Discover how predictive analytics, powered by generative AI and data streaming, transforms business decisions with real-time insights, accurate forecasts, and innovation.

Data 59
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Lidar derived updates to Living Atlas World Elevation Layers (December 2024)

ArcGIS

In December 2024, elevation layers have been updated with lidar derived DTMs of Canada, Austria and USA from USGS 3DEP.

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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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The Power of Predictive Analytics in Business: Using Generative AI and Confluent

Confluent

Discover how predictive analytics, generative AI, and Confluents data streaming capabilities revolutionize business intelligence.

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Your Complete Data Migration Checklist: A Step-by-Step Guide

Hevo

Moving data is a lot like moving houses—it sounds simple at first, but as the process unfolds, you quickly realize how much planning and care it requires. Every piece of data, just like every household item, needs to be properly packed, labelled, and placed in its new home without damage or loss.

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Using Multi-Language Data Streams for Scalable Translation and Localization

Confluent

Streamline translation with multi-language data streams. Discover best practices for scalable localization and real-time translation.

Data 52
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Mastering Data Consolidation: Benefits, Techniques, and Challenges

Hevo

Introduction Floundering with data fragmentations across various systems? For businesses trying to thrive in a competitive world, seamless access to unified and real data is no longer optional but inevitable. Yet 74% of companies are overwhelmed by the volume of data.

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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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Supercharging Ad Campaign Performance with Generative AI + Confluent

Confluent

Discover how generative AI transforms advertising with automation, real-time optimizations, and dynamic reporting. Learn trends, benefits, and risk management tips.

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Define, Extract and Transform inside Picnic’s Page Platform

Picnic Engineering

This blog post is part two of a seven-part blog series. We recommend reading the first part where Lars Lockefeer shares the motivation and introduction to Picnics Page Platform. In our first blog post, we introduced Picnics journey to optimize our ability to ship changes to our customer-facing apps quickly through Picnics Page Platform, which implements the Define, Extract, Transform and Present (DETP) framework.

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The Power of Predictive Analytics in Insurance: Using Generative AI and Confluent

Confluent

Explore how predictive analytics, generative AI, and Confluent's data streaming are transforming the insurance industry. Learn how to optimize claims processing and assess risks in real time.

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What is a Marketing Data Lake? Key Insights & Benefits

Hevo

In the data-driven age of decision-making, businesses rely on a vast volume of marketing data to understand customer behavior, optimize campaigns, and increase the growth. However, extracting insights from diverse sources like social media, CRM systems, or web analytics is overwhelming. That is where the Marketing data lake comes into play.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Integrating OpenAI with BigQuery

Confluent

Learn how integrating OpenAI with BigQuery enables AI-powered data analysis, real-time insights, and machine learning integration for transformative results.

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MySQL Query Optimization: Techniques for Speeding Up Your Database Explained

Hevo

MySQL is one of the most popular open-source relational database management systems (RDBMS)  used for various applications. As databases grow in size and complexity, it impacts overall performance of application as the queries that once performed well start to slow down.

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