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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. Before building your own data architecture from scratch though, why not steal – er, learn from – what industry leaders have already figured out?

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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Data mesh and data fabric are two modern data architectures that serve to enable better data flow, faster decision-making, and more agile operations. Both architectures share the goal of making data more actionable and accessible for users within an organization.

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Introduction to Convolutional Neural Networks Architecture

ProjectPro

The NN architecture was straightforward, with five layers of 5x5 convolutional layers and 2x2 max-pooling. Also, due to simple architecture, it could only work on low-resolution images. It was the winning architecture of ImageNet Challenge 2012. It was built to recognize handwritten digits. in the hope of better performance.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines.

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer!

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Embedding BI: Architectural Considerations and Technical Requirements

Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Best Practices for Deploying & Scaling Embedded Analytics

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.

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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

In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.