Sat.Sep 17, 2022 - Fri.Sep 23, 2022

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The Mistake Every Data Scientist Has Made at Least Once

KDnuggets

How to increase your chances of avoiding the mistake.

Data 160
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Airflow Taskflow API: The Guide

Marc Lamberti

Airflow Taskflow is a new way of writing DAGs at ease. As you will see, you need to write fewer lines than before to obtain the same DAG. That helps to make DAGs easier to build, read, and maintain. The Taskflow API has three main aspects: XCOM Args, Decorator, and XCOM backends. In this tutorial, you will learn what the Taskflow API is, why it is crucial for you, and how to create your DAGs.

SQL 130
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Keeping Multiple Databases in Sync Using Kafka Connect and CDC

Confluent

Microservices have numerous benefits, but data silos are incredibly challenging. Learn how Kafka Connect and CDC provide real-time database synchronization, bridging data silos between all microservice applications.

Kafka 122
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Data Governance and Strategy for the Global Enterprise

Cloudera

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here. Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition.

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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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More Performance Evaluation Metrics for Classification Problems You Should Know

KDnuggets

When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.

Building 160
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Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Data Engineering Podcast

Summary In order to improve efficiency in any business you must first know what is contributing to wasted effort or missed opportunities. When your business operates across multiple locations it becomes even more challenging and important to gain insights into how work is being done. In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location

More Trending

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Improve Underwriting Using Data and Analytics

Cloudera

Insurance carriers are always looking to improve operational efficiency. We’ve previously highlighted opportunities to improve digital claims processing with data and AI. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Underwriting is an area that can yield improvements by applying the old saying “work smarter, not harder.

Insurance 107
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Dimensionality Reduction Techniques in Data Science

KDnuggets

Dimensionality reduction techniques are basically a part of the data pre-processing step, performed before training the model.

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Building A Shared Understanding Of Data Assets In A Business Through A Single Pane Of Glass With Workstream

Data Engineering Podcast

Summary There is a constant tension in business data between growing siloes, and breaking them down. Even when a tool is designed to integrate information as a guard against data isolation, it can easily become a silo of its own, where you have to make a point of using it to seek out information. In order to help distribute critical context about data assets and their status into the locations where work is being done Nicholas Freund co-founded Workstream.

Building 100
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What Is Sales Operations? Process, Roles, Responsibilities

U-Next

What Is Sales Operations? . Sales operations refer to the area of an organization that supports, facilitates, and drives the front-line sales team in order to sell faster, better, and more efficiently. It refers to the unit’s processes, roles, and activities within the sales organization. . The objectives of sales management operations leaders are to maximize the effectiveness of sales teams by enabling them to focus on sales because it enables them to drive business results through th

Process 52
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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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SCIM (System for Cross-domain Identity Management)

Cloudera

The identity team at Cloudera has been working to add the System for Cross-domain Identity Management (SCIM) support to Cloudera Data Platform (CDP) and we’re happy to announce the general availability of SCIM on Azure Active Directory! In Part One we discussed: CDP SCIM Support for Active Directory, which discusses the core elements of CDP’s SCIM support for Azure AD.

Systems 107
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Free Microsoft Excel for Beginners Course

KDnuggets

Are you ready to learn Excel from the beginning? In this course, you will learn data entry, essential formulas, data visualization, pivot tables, and much more.

Data 150
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How Dr. Squatch Keeps Data Clean & Fresh with Monte Carlo

Monte Carlo

Dr. Squatch provides natural products specifically formulated for men who want to feel like a man, and smell like a champion. Making data-driven decisions is critical for the company to “raise the bar” on men’s personal care products according to their VP of Data, IT & Security, Nick Johnson. “Our mission as a data team is to help all of our decision makers across the business–from marketing and product to customer experience and finance–make better decisions that are informed by data,” Nick

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CNN Architecture Explained: What It Means In Deep Learning?

U-Next

Introduction to CNN Architecture . Before we go deeper into the Image Classification of CNN Architecture, let us first look into “ what is CNN architecture? ” CNN or Conventional Neural Network is a set of neural networks that can extract unique features from an image. A perfect example of CNN or Conventional Neural Network is face detection and recognition, as they can easily classify complex features in image data.

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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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#Clouderalife Volunteer Spotlight: Barry Laide

Cloudera

Cloudera’s September Volunteer Spotlight is Barry Laide, accounting manager for LATAM, based in Cork, Ireland. . Barry volunteers with Kerry Mountain Rescue to provide first aid and rescue in the uplands of southwestern Ireland. The organization was founded in 1966 following the deaths of two climbers on the mountains there, and since then has come to the assistance of numerous climbers and walkers in distress. .

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7 Machine Learning Portfolio Projects to Boost the Resume

KDnuggets

Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

Portfolio 148
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Unit testing in Apache Hop - complete, correct and consistent data

know.bi

What is data testing, and why should you test your data? Apache Hop is a data engineering and data orchestration platform that allows data engineers and data developers to visually design workflows and data pipelines to build robust solutions. However, building data pipelines is just the start. You want to run your workflows and pipelines in production reliably, and you want to make sure your data is processed exactly the way you want it to.

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Everything You Need To Know About Multi-cloud Architecture

U-Next

Introduction . According to Gartner, Inc. , enterprise IT spending on public cloud computing will surpass traditional IT investments in various market segments in 2025. Gartner’s ” cloud shift ” research includes only cloud-compatible IT categories within the markets for application software, infrastructure, business process services, and system infrastructure are included in Gartner’s “cloud shift” research.

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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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Ethics Sheet for AI-assisted Comic Book Art Generation

Cloudera

Introduction. This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. I’m a research engineer by trade and have been involved in software creation in some way or another for most of my professional life.

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The Absolute Basics of MLOps

KDnuggets

This article is for people who don’t know a thing about MLOps or want to refresh their memory.

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Data-Driven Change: Essential Mindsets

Elder Research

The post Data-Driven Change: Essential Mindsets appeared first on Elder Research.

Data 52
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3 Use Cases for Real-Time Blockchain Analytics

Rockset

Introduction Cryptocurrencies and NFTs have helped bring blockchain technology to the mainstream over the last few years, driven by the potential for astronomic financial returns. As more users become familiar with blockchain, attention and resources have started to shift towards other use cases for decentralized applications, or dApps. dApps are built on blockchains and are the use case layer for web3 infrastructure, offering a wide range of services.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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The Benefits of an All-in-One Data Lakehouse

Cloudera

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here. Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition.

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Data Analyst Skills You Need for Your Next Promotion

KDnuggets

Get some advice from the “older” generation.

Data 139
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How Can Real-Time Customer Analytics Lead To More Optimized and Refined Customer Experiences?

Striim

Modern-day customers have higher expectations from the brands they interact with. They crave customer experiences that are more timely, targeted, and personalized to their needs. Brands can meet these expectations by integrating real-time analytics into their customer experience. According to a study from Harvard Business Review, 44% of organizations found the adoption of real-time customer analytics to increase their total number of customers and revenue.

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Big Data (Quality), Small Data Team: How Prefect Saved 20 Hours Per Week with Data Observability

Monte Carlo

Data teams spend millions per year tackling the persistent challenges of data downtime. However, it’s often the leanest data teams that feel the sting of poor data quality the most. Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents.

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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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MLOps Principles to build Picnic’s Data Science Platform

Picnic Engineering

Here at Picnic, we love data. Over the last years, Picnic has grown into a data-driven online supermarket that is active in three countries. By leveraging data and algorithms, we have been able to support the company’s growth while maintaining high service levels. Besides numerous demand forecasting models, we have for example built machine learning models to improve our customer service and increase the efficiency of our trips.

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Build a Text-to-Speech Converter with Python in 5 Minutes

KDnuggets

I have chosen to go through how to build a text-to-speech converter in Python, not only is it simple, but it is also fun and interactive. I will show you two ways you can do it with Python.

Python 139
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How to create data pipeline and data quality SLA alerts in Databand

Databand.ai

How to create data pipeline and data quality SLA alerts in Databand Helen Soloveichik 2022-09-20 01:49:30 Data engineers often get inundated by alerts from data issues. The last thing an engineer wants to do is get woken up at night for a minor issue, or worse, miss a critical one that requires immediate attention. Databand helps fix this problem by breaking through noisy alerts with focused alerting and routing when a data pipeline and quality issues occur.

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OAuth2 authentication for GraphQL in Node.js | Propel Data Analytics Blog

Propel Data

In this article, you’ll learn how to implement the OAuth 2.0 client credentials flow with GraphQL using Node.js.

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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.