KDnuggets

OCTOBER 28, 2022

In this article, I have explained some tips and tricks to optimize and speed up Python code.

Python 160

Python Coding 160

Start Data Engineering

OCTOBER 22, 2022

1. Introduction 2. Data project template 2.1. Prerequisites 2.2. Setup infra 2.3. Tear down infra 3. Set up data infrastructure 3.1. Run data infra on your laptop with containers 3.2. Manage cloud infrastructure with code 4. Set up development workflow 4.1. CI: Automated tests & checks before the merge with GitHub Actions 4.2. CD: Deploy to production servers with GitHub Actions 4.3.

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Project Data Engineering Data Engineer Building 147

The Pragmatic Engineer

OCTOBER 27, 2022

This issue was written in Oct 2022, sent out to all subscribers of The Pragmatic Engineer Newsletter in October 2022. The observations on how Big Tech hiring will slow down have since been validated, with Meta not only laying off in November, but also rescinding offers in January 2023, and Amazon doing the same. If you want to get the pulse of the industry in your inbox, subscribe.

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Data Engineering Podcast

OCTOBER 23, 2022

Summary Agile methodologies have been adopted by a majority of teams for building software applications. Applying those same practices to data can prove challenging due to the number of systems that need to be included to implement a complete feature. In this episode Shane Gibson shares practical advice and insights from his years of experience as a consultant and engineer working in data about how to adopt agile principles in your data work so that you can move faster and provide more value to

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

KDnuggets

OCTOBER 25, 2022

As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

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Machine Learning Management Data 160

Teradata

OCTOBER 25, 2022

Developing an IT sustainability strategy can bring major positive change across the enterprise, lowering costs and optimizing resource use.

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IT 95

Data Engineering Podcast

OCTOBER 23, 2022

Summary The database market has seen unprecedented activity in recent years, with new options addressing a variety of needs being introduced on a nearly constant basis. Despite that, there are a handful of databases that continue to be adopted due to their proven reliability and robust features. MariaDB is one of those default options that has continued to grow and innovate while offering a familiar and stable experience.

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Database MySQL Cloud MongoDB 100

KDnuggets

OCTOBER 24, 2022

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

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Python Machine Learning Data Engineering 160

Pinterest Engineering

OCTOBER 28, 2022

Lin Wang | Android Performance Engineer Designed by AJ Oxendine | Software Engineer It’s a well-known fact for Android developers that an app’s manifest (AndroidManifest.xml) holds crucial application declarations. It is rarely monitored after being set up because we assume it hardly ever changes. At Pinterest, however, we have been actively monitoring the manifest after realizing it does change every so often.

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Software Engineering Software Engineer Engineering Building 52

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks.

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Machine Learning Project Deep Learning Data Science 76

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Teradata

OCTOBER 28, 2022

Data will drive the business models of next generation commercial vehicle suppliers. Find out how.

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Data 52

KDnuggets

OCTOBER 26, 2022

Check out this breakdown of TF-IDF by defining its constituent parts.

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IT Process 149

U-Next

OCTOBER 28, 2022

Introduction . Artificial Intelligence ( AI technology ) is the latest buzzword in the world of technology. We are moving towards a more intelligent world where machines are able to think, learn and make decisions on their own. AI has been used in various industries for years now. It has been used to improve search engines and provide recommendations based on your past searches. .

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Machine Learning Algorithm Technology Deep Learning 52

Cloudera

OCTOBER 23, 2022

Demand for both entry-level and highly skilled tech talent is at an all-time high, and companies across industries and geographies are struggling to find qualified employees. And, with 1.1 billion jobs liable to be radically transformed by technology in the next decade, a “ reskilling revolution ” is reaching a critical mass. Already underrepresented populations like workers without a four-year degree are four times more likely to work in highly automatable jobs than individuals with a bachelor’

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Programming Technology Building Systems 72

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

Confluent

OCTOBER 27, 2022

How to build a complete motion detection and alerting system to power modern, real-time IoT and data streaming using Confluent.

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Systems Building Kafka Data 52

KDnuggets

OCTOBER 27, 2022

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

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Algorithm Machine Learning Data Science Data Analysis 136

DataKitchen

OCTOBER 27, 2022

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U-Next

OCTOBER 27, 2022

Introduction . In today’s competitive and challenging world, data is one of the most powerful tools available to businesses and organizations. It helps overcome problems and obstacles, leading to more options and better solutions. . Keeping this data organized and easily accessible is important, but it also brings some hefty demands. If you can’t turn your data into actionable assets, all the data in the world won’t help you make the right business decision. .

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Data Science Data Structured Data Algorithm 52

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

Rockset

OCTOBER 26, 2022

At Own the Moment , our mission is to drive the next generation of sports fandom – NFTs (non-fungible tokens) of pro athletes. Player NFTs are much more than the equivalent of digital baseball cards, they are the future of the sports collectibles market. We are helping to lead the way. Fans and investors can track real-time market values for NFL and NBA player NFTs through our service.

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SQL NoSQL Database Aggregated Data 52

KDnuggets

OCTOBER 28, 2022

If you’re someone in data science or aiming to get into a data science career, this article will give you a comprehensive analysis of the state of the field.

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Data Science Data 132

DataKitchen

OCTOBER 27, 2022

. Question: What is something the data industry is missing? I think it’s observability-led DataOps. I’ve come to believe that we, as an industry, will not change how people build things they’ve already made. They’re already being Heroes and have pain, unhappiness, and poor results. The first step to enlightenment. The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at va

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Raw Data Data Data Pipeline Data Engineering 52

U-Next

OCTOBER 27, 2022

Introduction . An MIS ( Management Information Systems ) executive is responsible for the management of an organization’s computer systems, applications, and networks. This includes overseeing the information technology (IT) department and ensuring that all platforms, including hardware, software, and telecommunications systems, are running smoothly.

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Systems Management Telecommunication Technology 52

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineering

Monte Carlo

OCTOBER 26, 2022

While data teams can agree that data quality is important, it can be incredibly difficult to quantify, let alone communicate to the rest of the business. What if there was a way to tell your analysts that their critical data set wasn’t being monitored? Or that their financial dashboards were plagued by weekly freshness issues? How about a means of tracking – and alerting – on outages as a function of uptime and downtime?

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BI Data Data Engineering Data Engineer 52

KDnuggets

OCTOBER 27, 2022

Learn how data-centric AI can improve your model's overall performance.

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Data 123

Pinterest Engineering

OCTOBER 26, 2022

Bella Huang | Software Engineer, Home Candidate Generation; Raymond Hsu | Engineer Manager, Home Candidate Generation; Dylan Wang | Engineer Manager, Home Relevance In Homefeed, ~30% of recommended pins come from pin to pin-based retrieval. This means that during the retrieval stage, we use a batch of query pins to call our retrieval system to generate pin recommendations.

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Building Software Engineering Software Engineer Engineering 52

U-Next

OCTOBER 27, 2022

Introduction . In today’s world of digital sales, it’s important to understand the power of your target market. This can help you focus on the right customers and ensure that you’re offering products that best fit their needs. It’ll also help you figure out ways to reach out to these people online and through social media platforms like Facebook, Instagram, or Twitter.

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Media Project Education Certification 52

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!

Data

Elder Research

OCTOBER 25, 2022

The post Decision Process Improvement (DPI): Better, Faster Decisions appeared first on Elder Research.

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Process 52

KDnuggets

OCTOBER 26, 2022

Learn about various Diffusion-based applications to get inspiration for a final-year project, research, and product.

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Project 123

Propel Data

OCTOBER 25, 2022

This article will demonstrate how to deduplicate events in Snowflake using dbt

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Data Analytics Data 52

U-Next

OCTOBER 27, 2022

Introduction . Data visualization aids in the telling of stories by filtering data into a more understandable format, showing patterns and outliers. A good visualization conveys a narrative by reducing noise from data and emphasizing important information. It is the most important aspect for any company. The stats provided below clearly indicate the significance of AI in Data visualization.

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Data Algorithm Datasets Coding 52

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Software Engineer