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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

Project demo 3. Building efficient data pipelines with DuckDB 4.1. Introduction 2. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4.

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DataOS Demo – Patient360

The Modern Data Company

At the Modern Data Company, we empower businesses to build data products using their existing data infrastructure without disruption.In this video, learn how.

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5 Reasons to Attend BUILD 2023: The Dev Conference for AI & Apps

Snowflake

BUILD 2023 is where AI gets real. Join our two-day virtual global conference and learn how to build with the app dev innovations you heard about at Snowflake Summit and Snowday. We have more demos and hands-on virtual labs than ever before—and you won’t find a bunch of slideware here.

Building 112
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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

During the development of Operational Database and Replication Manager, I kept telling folks across the team it has to be “so simple that a 10 year old can demo it”. so simple that a 10 year old can demo it”. Watch this: Enterprise Software that is so easy a 10 year old can demo it. How hard is it for engineering to build?

IT 97
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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

In this issue, we cover: How Akita was founded On cofounders Raising funding Pivoting and growing the company On hiring The tech stack The biggest challenges of building a startup For this article, I interviewed Jean directly. People loved our fuzzer demos. So we started to build API specs on top of our API security product.

Building 204
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Demo: Supercharging Data Engineering with Magpie for Snowflake®

Silectis

In this demo, we’ll show you how native tools in the Magpie data engineering platform play well with Snowflake, ultimately, allowing your team to do more in a centralized data engineering environment. Magpie Fills in the Gaps for Better Data Engineering And we’re not talking about just ETL (extract, transform, load). Magpie can help.