Wed.Dec 13, 2023

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Undersampling Techniques Using Python

KDnuggets

The article discusses the undersampling data preprocessing techniques to address data imbalance challenges.

Python 151
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Uplevel your dbt workflow with these tools and techniques

Start Data Engineering

1. Introduction 2. Setup 3. Ways to uplevel your dbt workflow 3.1. Reproducible environment 3.1.1. A virtual environment with Poetry 3.1.2. Use Docker to run your warehouse locally 3.2. Reduce feedback loop time when developing locally 3.2.1. Run only required dbt objects with selectors 3.2.2. Use prod datasets to build dev models with defer 3.2.3. Parallelize model building by increasing thread count 3.

Datasets 130
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5 Rare Data Science Skills That Can Help You Get Employed

KDnuggets

This article is about the less common data science skills that can help you get hired. While these skills are not as common as they are for technical jobs, they are certainly worth developing.

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Offline LLM Evaluation: Step-by-Step GenAI Application Assessment on Databricks

databricks

Background In an era where Retrieval-Augmented Generation (RAG) is revolutionizing the way we interact with AI-driven applications, ensuring the efficiency and effectiveness of.

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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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Big improvements for field management in Geoprocessing in ArcGIS Pro 3.2

ArcGIS

In ArcGIS Pro 3.2, the field map parameter has been redesigned for improved usability and new capabilities.

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KDnuggets News, December 13: 5 Super Cheat Sheets to Master Data Science • Using Google’s NotebookLM for Data Science: A Comprehensive Guide

KDnuggets

This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!

More Trending

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Predictions: The Cybersecurity Challenges of AI

Snowflake

Our recently released predictions report includes a number of important considerations about the likely trajectory of cybercrime in the coming years, and the strategies and tactics that will evolve in response. Every year, the story is “Attackers are getting more sophisticated, and defenders have to keep up.” As we enter a new era of advanced AI technology, we identify some surprising wrinkles to that perennial trend.

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#Volunteer Spotlight: Remus Lim

Cloudera

During Week of Giving Clouderans across the globe took time out of their busy schedules to give back and support causes meaningful to them. For many colleagues, however, giving and volunteering during Week of Giving is just one of the many ways they support the causes meaningful to them. We had the privilege of sitting down with Remus Lim, Regional VP of Sales in APAC who not only volunteered alongside his Singapore-based colleagues during Week of Giving but is dedicating an upcoming trip to phi

IT 96
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Take Digital Marketing to the Next Level with Enriched Demographic Data

Precisely

Companies that excel at targeted messaging will generally outperform their peers both in terms of revenue growth and customer loyalty. Digital marketing is ideally suited for precise targeting and rapid feedback, provided that business users have access to the detailed demographic and geospatial data they need. Most businesses do not tap into the full potential of digital marketing automation tools.

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Cloudera Customer Story

Cloudera

Legal & General Investment Management (LGIM) is one of the largest global asset managers, managing £1.2 trillion on behalf of savers, retirees, and institutions worldwide. LGIM prides itself on being a responsible investor and is at the forefront of global index fund management and pension investment. Its strategies cover a broad array of asset classes and styles, including equities, bonds, property and alternatives, as well as multi-asset funds.

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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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Extracting skills from content to fuel the LinkedIn Skills Graph

LinkedIn Engineering

Co-authors: Sofus Macskassy , Lu Sun , Di Zhou, Rui Kou and Zhuliu Li Skills are at the heart of every professional's qualifications for a role or new opportunity. At LinkedIn, we see a future where the world of work is centered on a skills-first economy. Adopting a skills-first approach will be especially critical as the requirements for roles, businesses, and industries are rapidly changing amid the current generative AI (GAI) boom.

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Monolith to Event-Driven Microservices: 5 Tips for Securing Business Buy-In

Confluent

Discover how McAfee saved significant hosting costs alone by shifting to microservices! McAfee’s Mahesh Tyagarajan spills the beans on getting business buy-in and what it means for customers.

IT 80
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Bringing the Lakehouse to R developers: Databricks Connect now available in sparklyr

databricks

We’re excited to announce that the latest release of sparklyr on CRAN introduces support for Databricks Connect. R users now have seamless access t.

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A.I. Confidential | The Unvarnished Truth From 5 Anonymous Data Leaders 

Monte Carlo

You can’t turn around in the data space without running into hot takes about GenAI. Will it make our jobs obsolete? Will robots take over the world? Will organizations figure out how to unlock unprecedented levels of value for their customers? But how many of those hot takes are genuine and how many are for the clicks? What do data leaders say when the cameras aren’t rolling and the board decks aren’t public?

BI 59
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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DiffEdit: Editing Images using Generative AI by Jonny Spruce

Scott Logic

In this blog post, we will be demonstrating how to use the DiffEdit technique described in this paper , to use a diffusion model to modify just one part of an existing image using simple text prompts. DiffEdit utilises the diffusion model which is used to predict where noise is in an image, typically as a way of generating images using text prompts.

Coding 59
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End-to-end spatial data science 1: Clustering US Precipitation Regions

ArcGIS

This is the first in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

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A.I. Confidential | The Unvarnished Truth From 5 Anonymous Data Leaders 

Monte Carlo

You can’t turn around in the data space without running into hot takes about GenAI. Will it make our jobs obsolete? Will robots take over the world? Will organizations figure out how to unlock unprecedented levels of value for their customers? But how many of those hot takes are genuine and how many are for the clicks? What do data leaders say when the cameras aren’t rolling and the board decks aren’t public?

BI 52
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End-to-end spatial data science 2: Data preparation and data engineering using R

ArcGIS

This is the second in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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10 Ways to Optimize Your Data Observability ROI: Top Tips and Tricks from the Experts

Monte Carlo

Over the last five years, data observability has leveled up from industry buzzword to a must-have element of every data stack. Inspired by the practices of DevOps observability, data observability uses automated monitoring , alerting, and triaging — along with end-to-end lineage — to give organizations the ability to fully understand their data health.

BI 52
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End-to-end spatial data science 3: Data preparation and data engineering using Python

ArcGIS

This is the third in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

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The Most Magical Time of the Year….? All Santa needs is Data Integrity!

Precisely

Have you ever thought about the logistics involved in delivering gifts to children all around the world….in one night?? Put yourself in Santa’s shoes….you receive millions, potentially billions, of requests for gifts from children all over the world via letter, text, WhatsApp, email, and so on. And in multiple languages too! You need to collate all that information into a central database so you have a consolidated list of what each child wants.

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End-to-end spatial data science 4: Data preparation using spatial analysis and automation in ArcGIS

ArcGIS

This is the fourth in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Top 10 Big Data Companies of 2023

Knowledge Hut

The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Next-generation artificial intelligence and significant advancements in data mining and predictive analytics tools are driving the continued rapid expansion of big data software.