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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat.

Building 278
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Building Linked Data Products With JSON-LD

Data Engineering Podcast

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Hex brings everything together.

Building 189
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Why did Google close its coding competitions after 20 years?

The Pragmatic Engineer

On 22 February 2023, Google announced its coding competitions are coming to an end: The visual that accompanied the announcement of the end of Google’s coding competitions. Code Jam: competitive programming. Hash Code: team programming. Google Code Jam I/O for Women: algorithmic programming.

Coding 176
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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. So we started to build API specs on top of our API security product. We pivoted to API observability in 2020.

Building 208
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3 Challenges of Building Complex Dashboards with Open Source Components

Speaker: Ryan MacCarrigan, Founding Principal, LeanStudio

Many product teams use charting components and open source code libraries to get dashboards and reporting functionality quickly. But what happens when you have a growing user base and additional feature requests?

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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162
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Build faster with Buck2: Our open source build system

Engineering at Meta

Buck2, our new open source, large-scale build system , is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. In our internal tests at Meta, we observed that Buck2 completed builds 2x as fast as Buck1.

Building 145
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.