Wed.Dec 13, 2023

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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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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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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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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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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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#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 90
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Undersampling Techniques Using Python

KDnuggets

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

Python 128
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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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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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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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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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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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.

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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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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 Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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.