Thu.Dec 05, 2024

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From Novice to Pro: A Roadmap for Your Machine Learning Career - KDnuggets

KDnuggets

Let’s take a look at a concise roadmap to building a lasting and effective machine learning career.

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Unlock the Predictive Power of Your Time Series Data

databricks

At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.

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How to Install and Run LLMs Locally on Android Phones

KDnuggets

Learn how to bring the power of AI right to your Android phone—no cloud, no internet, just pure on-device intelligence!

Cloud 98
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The AI Tipping Point: What Sports Organizations Need to Know for 2025

Snowflake

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. 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. This eBook covers: An overview of ETL vs.

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Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist

Towards Data Science

What does a data engineer do differently to a data scientist?

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Maximizing Your Data’s Potential: Best Practices for Streamlining Data Enrichment

Precisely

Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Traditionally, data enrichment can be lengthy and expensive, but implementing best practices for evaluating datasets and working with a data provider that offers data delivery options fit for your needs can accelerate time to value while reducing costs.

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Breaking Down Fivetran Pricing Model: Know What You Are Paying For

Hevo

When it comes to data integration, Fivetran has established a solid reputation as one of the industry leaders. With its robust feature set, Fivetran has become a go-to option for many enterprises. But there’s a catch- Fivetran’s pricing model. It’s unique and depends on usage.

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Developing a Java plugin that automatically fixes code

Picnic Engineering

In one of our previous blogs we wrote an article that explains the tools Error Prone and Refaster, and how we use them within Picnic. Now we will dive into how we built many extensions and rules for Error Prone. Building and extending a Java plugin that integrates directly with the compiler comes with some difficulties, and additionally, we’ll discuss some challenges that come with developing and maintaining an open source plugin within the Java ecosystem.

Java 40
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Open Policy Agent in Skipper Ingress

Zalando Engineering

Introduction At Zalando, we continuously strive to enhance our platform capabilities to provide robust, scalable, and developer-friendly solutions. One such initiative is the integration of Open Policy Agent (OPA) into Skipper , our open-source ingress controller and reverse proxy, to deliver Authorization as a Service. This integration not only allows externalising authorization policies but also aligns with our goals of solving security concerns on the infrastructure with efficiency and develo

AWS 56
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How Martech and Adtech Are Uniting Around First-Party Data

Snowflake

A revolution is underway as martech and adtech continue to converge around first-party data — and the revolution is happening on Snowflake. This seismic shift isn't a mere trend; it’s a game-changing transformation that will continue to shape the way that marketers and advertisers connect with consumers amid increasing privacy regulations, new identity frameworks and rising customer expectations.

Media 70
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!