Fri.Jul 12, 2024

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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Patronus AI x Databricks: Training Models for Hallucination Detection

databricks

Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.

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How To Debug Running Docker Containers

KDnuggets

Debugging Docker containers is an essential skill when working with containerized applications. Let’s explore the different ways to debug Docker containers.

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Create a Digital Twin in Seven Days with ArcGIS

ArcGIS

Creation of a Digital Twin in Seven Days with ArcGIS in Zurich

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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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Data Integrity vs. Data Quality: How Are They Different?

Precisely

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

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Enhanced 3D Layers in ArcGIS

ArcGIS

Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.

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How to best create large 3D web layers in ArcGIS

ArcGIS

You can host scene layers and 3D tiles layers in ArcGIS Online or reference datasets in cloud storage in ArcGIS Enterprise.

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How Alexri Amplifies Tech Innovation as a Customer Marketing Manager

Confluent

Discover how Alexri Patel-Sigmon helps amplify tech innovation with data streaming in her role as a customer marketing manager at Confluent.

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Deliver Your Data as a Product, But Not as an Application

Towards Data Science

Data as a product is an intriguing concept, but beware of the application trap Continue reading on Towards Data Science »

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Building Data Lake in Apache Iceberg with MySQL CDC

Hevo

Building a data lake for reporting, analytics, and machine learning needs has become general practice. Data lakes allow us to ingest data from multiple sources in their raw formats in real time. This will enable us to scale any data size and save time in defining its schema and transformations.

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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!

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What Is The Difference Between Mern Stack And Full Stack

Edureka

While Full Stack and MERN Stack development are two different concepts that belong to the field of web development, they point towards other sets of skills and technological applications. If individuals involved in software development and organization know the difference between the two, they can choose the most appropriate one to use in their projects.

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Top 10 Leading Data Lake Tools in 2024: Choose the Right One

Hevo

Are you looking for a data lake tool that is scalable, cost-efficient, and accessible, can store your business’s historical data, and can help you perform intelligent analytics? No worries. To lift the weight off your shoulders, I have compiled a list of data lake tools.