Sat.Nov 05, 2022 - Fri.Nov 11, 2022

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Understanding Bias-Variance Trade-Off in 3 Minutes

KDnuggets

This article is the write-up of a Machine Learning Lighting Talk, intuitively explaining an important data science concept in 3 minutes.

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Data News — Week 22.45

Christophe Blefari

Mastodon and Hadoop are on a boat. ( credits ) Hey you, 11th of November was usually off for me. Since I've started my freelancing activities I don't really follow the usual calendar, working whenever I need/want. I mainly work 3 to 4 days a week. Which is awesome but it has a major drawback I never took a break longer than 1 week. Which, yeah, kinda sucks.

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Cruel Changes at Twitter

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. Last Thursday, I covered the turmoil at Twitter , of how people worked long hours through the weekend and how most expected layoffs of about 50%.

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Build Better Data Products By Creating Data, Not Consuming It

Data Engineering Podcast

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications.

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A Guide to Debugging Apache Airflow® DAGs

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

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Approaches to Text Summarization: An Overview

KDnuggets

This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.

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Introduction to Historical Loads – for Data Engineers.

Confessions of a Data Guy

There are probably few things in life that will strike more fear and tumult in the heart of the Data Engineer than historical loads. You know, on the surface it seems like such an innocent thing. How could it possibly be, just take a bunch of data stored somewhere and shove it into a table. […] The post Introduction to Historical Loads – for Data Engineers. appeared first on Confessions of a Data Guy.

More Trending

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Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. Sonal Goyal created and open-sourced Zingg as a generalized tool for data mastering and entity resolution to reduce the effort involved in adopting those practices.

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Confusion Matrix, Precision, and Recall Explained

KDnuggets

Learn these key machine learning performance metrics to ace data science interviews.

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Cloudera and Generation Partner to Reskill the Tech Talent of Tomorrow

Cloudera

Better job opportunities are life-changing, but the lack of accessible job training and placement opportunities can make landing the right opportunity very difficult, if not even impossible at times. . Generation is an economic mobility nonprofit working to prepare, place, and support people into life-changing careers that would otherwise be inaccessible. .

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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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What Is a Cybersecurity Audit and How Is It Helpful for Your Business?

U-Next

Introduction . Cybersecurity audits are an essential part of maintaining a secure business. They can help you identify weaknesses in your system, understand how much risk your company faces from cyber security threats and prevent costly data breaches. . This article will explain a security audit and why it’s so important for businesses today.

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3 Useful Python Automation Scripts

KDnuggets

The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.

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#ClouderaLife Spotlight: Timur Nersesov, Senior Manager of Professional Services Strategy

Cloudera

We celebrate Veterans and Remembrance Day by honoring those who have served in the military. To commemorate this special occasion, we will spotlight Clouderan Timur Nersesov. . Timur was nine when he immigrated to the US. His first memory upon entering the country was a view of the Statue of Liberty and the World Trade Center from the portal window of a plane.

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Diagnose and Debug Apache Kafka Issues: Understanding Increased Request Rate, Response Time, and/or Broker Load

Confluent

The next time you hit a snag in your Kafka cluster, take some time to diagnose and debug. Before committing to making changes to your applications, it’s important to understand what’s causing your problem and uncover the underlying ailment.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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How Spotify uses Machine Learning?

ProjectPro

Curious about how Spotify generates recommendations for its users? To know more about how Spotify uses AI and how Spotify uses machine learning to personalize the user experience , continue reading this article till the end. With over 82 million songs, 4 billion playlists, and 456M users, Spotify is a name to reckon with in the streaming industry. Spotify is an audio-streaming application owned by Daniel Ek and Martin Lorentzon.

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15 More Free Machine Learning and Deep Learning Books

KDnuggets

Check out this second list of 15 FREE ebooks for learning machine learning and deep learning.

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Ozone Write Pipeline V2 with Ratis Streaming

Cloudera

Cloudera has been working on Apache Ozone, an open-source project to develop a highly scalable, highly available, strongly consistent distributed object store. Ozone is able to scale to billions of objects and hundreds petabytes of data. It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises.

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A Product Management Program Designed To Get You Industry Ready In Just 6 Months!

U-Next

The world today is brimming with new-age technologies that have burst open a door of opportunities for every single one of us. Determination to experiment, the grit to consistently upskill, and the courage to try something new is all it takes to own a thriving career in any of your chosen fields. . Irrespective of previous education or inclination, one skill-based domain that is extremely popular today is Product Management.

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How to Modernize Manufacturing Without Losing Control

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

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Using Vehicle Data to Drive Subscription Services

Teradata

The new era of automotive sales will leverage software-defined elements of the vehicle experience that can be tuned, activated or upgraded dependent on the customers preferences.

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Announcing a Blog Writing Contest, Winner Gets an NVIDIA GPU!

KDnuggets

KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Greetings from sunny Berlin! Yes, it’s still 20+ °C here – perfect conditions for sitting down on your balcony with the latest issue of your favorite Annotated! I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

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Disaster Recovery In Cloud Computing: All You Need To Know

U-Next

Introduction . We’ve all heard the horror stories of companies that lost their data in a disaster. It’s not just businesses—losing your data can be disastrous for anyone. The cloud computing industry is booming, but it’s also still new, so there are lots of ways you could lose your data online. The cloud computing industry is expected to generate nearly 400 billion dollars in revenue by 2021.

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The Ultimate Guide to Apache Airflow DAGS

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

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DAX-JUNGLE: SELECTCOLUMNS

FreshBI

It’s a jungle out there Back in the day- when I was stuck on a DAX problem, I used to toggle through the IntelliSense in PowerBI one letter at a time. I’ve learned much since then and in this blog I’d like to share my experience with using PATH in Dax. A: ABS ACOS ACOSH … B: BETA.DIST BETA.INV BLANK Etc…. Hours wasted. Mistakes were made A MUCH better use of my time would have been reviewing quality solutions to real world problems.

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Map out your journey towards SAS Certification

KDnuggets

Nearly 50% of certification holders said it was easier to find new jobs, enter new career fields and land job interviews. Read on to learn about every resource you’ll need from start to finish to receive your SAS certification.

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Greetings from sunny Berlin! Yes, it’s still 20+ °C here – perfect conditions for sitting down on your balcony with the latest issue of your favorite Annotated! I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

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Top Upcoming Data Science Trends for 2023

U-Next

It’s that time of the year that excites all tech enthusiasts around the world. As data scientists, we read articles about the industry, consume videos and podcasts on the topic and immerse ourselves in this domain all through the year. And as experts, we also take pride in ‘visualizing’ specific trends for an upcoming year based on the events and occurrences of the current one. .

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Apache Airflow® Best Practices: 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 Best Big Data Engineer Salary and How to Get it

Emeritus

As you read this, people across the world are texting, posting on social media, and searching on Google, adding to the growing volume of big data. And as big data’s quantity increases so does its significance for companies. Big data has become a pivotal resource to generate information and make insightful decisions. However, it would… The post What is the Best Big Data Engineer Salary and How to Get it appeared first on Emeritus Online Courses.

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7 Python Projects for Beginners

KDnuggets

Simple and fun Python projects to get experience and build a strong portfolio.

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How to set up development and production environments in Snowflake | Propel Data Analytics Blog

Propel Data

If you use Snowflake to managing your data warehouse, you can set up either a single account or multiple accounts for your development.

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Customer Attrition: Definition, Churn Rate Analysis, and Prediction

U-Next

Introduction . For most businesses, accurately forecasting customer attrition rate and proactively preventing it represents a significant additional potential revenue source. A healthy relationship with customers is important for several reasons. First, when customers feel valued and appreciated, they are more likely to continue doing business with a company.

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How to Achieve High-Accuracy Results When Using LLMs

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