Start Data Engineering

DECEMBER 13, 2023

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

Datasets Building 130

KDnuggets

DECEMBER 13, 2023

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.

Data Science 122

Data Science Data 122

databricks

DECEMBER 13, 2023

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.

Data Science 106

Data Science Engineering Data 106

KDnuggets

DECEMBER 13, 2023

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

Python 128

Python Data 128

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

ArcGIS

DECEMBER 13, 2023

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

Management 124

Management 124

KDnuggets

DECEMBER 13, 2023

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!

Data Science 94

Data Science Deep Learning Machine Learning SQL 94

Snowflake

DECEMBER 13, 2023

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.

Machine Learning 100

Machine Learning Technology Building IT 100

Cloudera

DECEMBER 13, 2023

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 85

IT 85

Confluent

DECEMBER 13, 2023

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 78

IT 78

ArcGIS

DECEMBER 13, 2023

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

Management 103

Management 103

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Monte Carlo

DECEMBER 13, 2023

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

BI Metadata Data Technology 59

databricks

DECEMBER 13, 2023

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.

Accessible 58

Accessible Accessibility 58

Monte Carlo

DECEMBER 13, 2023

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

BI Metadata Data Technology 52

ArcGIS

DECEMBER 13, 2023

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

Data Science 57

Data Science Data Machine Learning Data Engineering 57

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Monte Carlo

DECEMBER 13, 2023

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

BI Data Ingestion SQL Data Warehouse 52

ArcGIS

DECEMBER 13, 2023

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

Data Science 52

Data Science Data Preparation Data Engineering Data Engineer 52

Scott Logic

DECEMBER 13, 2023

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

Coding Process IT Management 59

ArcGIS

DECEMBER 13, 2023

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

Data Science 52

Data Science Data Preparation Data Machine Learning 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Precisely

DECEMBER 13, 2023

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.

Raw Data 96

Raw Data Entertainment Data Validation Education 96

ArcGIS

DECEMBER 13, 2023

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

Data Science 52

Data Science Data Preparation Data Engineering Data Engineer 52

LinkedIn Engineering

DECEMBER 13, 2023

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.

Recruitment 83

Recruitment Utilities Designing Java 83

Precisely

DECEMBER 13, 2023

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.

Data Integration 52

Data Integration Data Governance Government Database 52

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

BI

Knowledge Hut

DECEMBER 13, 2023

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.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52