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Quick Guide to Building an ETL Pipeline Process

The Crazy Programmer

ETL (Extract, Transform and Load) pipeline process is an automated development. ETL pipelines are designed to optimize and streamline data collection from more than a source and reduce the time used to analyze data. This article gives a quick guide on the necessary steps needed to build an ETL pipeline process.

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Monte Carlo’s Barr Moses will join us at TC Sessions: SaaS

TechCrunch

Meanwhile, Monte Carlo wants to make sure that companies around the world are alerted when some of their incoming data pipelines go off the rails. That way when the corporate world does run data analysis on their collected information, it isn’t skewed by zeroes and other effluent.

Big Data 248
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Accelerating generative AI requires the right storage

CIO

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). Powering business with data means making the data easier to manage, process and analyze as part of a data pipeline, so infrastructure can meet the data where it is.

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Getting Started with Azure DevOps: Services and Tips

Dzone - DevOps

Azure DevOps is a relatively new service (launched in 2018) that offers a collection of cloud-based Azure-native services that answer certain DevOps needs. This article reviews five Azure DevOps services, each providing certain capabilities — Azure Boards, Azure Pipelines, Azure Repos, Azure Test Plans, and Azure Artifacts.

Azure 100
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Everstream, which applies big data to supply chain management, raises $50M

TechCrunch

Image Credits: Everstream In one step of the data analysis pipeline, Everstream collects trading data from sources including news and media articles and applies algorithms to identify who’s trading with whom.

Big Data 227
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Boost Your NLP Results with Spark NLP Stemming and Lemmatizing Techniques

John Snow Labs

By following the implementation steps outlined in this article, you can seamlessly incorporate stemming and lemmatization into your NLP pipelines using Spark NLP. In this article, we will explore how Spark NLP, a powerful Python library built on Apache Spark, provides efficient stemming and lemmatization capabilities.

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How you can make ChatGPT know about your Sitecore Instance

Perficient

To make this work I used my favorite architectural pattern Sitecore provides: pipelines. By defining a custom pipeline for creating a prompt context, we can create reusable custom prompt processors that produce Context content that can be provided to a chat session.

ChatGPT 52