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What are the types of data quality checks?

Start Data Engineering

1. Introduction 2. Data Quality(DQ) checks are run as part of your pipeline 2.1. Ensure your consumers don’t get incorrect data with output DQ checks 2.2. Catch upstream issues quickly with input DQ checks 2.3. Waiting a long time to run output DQ checks? Save time & money with mid-pipeline DQ checks. 2.4. Track incoming and outgoing row counts with Audit logs 3.

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DAIS 2024: Testing framework from the Dataflow model for Apache Spark Structured Streaming

Waitingforcode

With this blog I'm starting a follow-up series for my Data+AI Summit 2024 talk. I missed this family of blog posts a lot as the previous DAIS with me as speaker was 4 years ago! As previously, this time too I'll be writing several blog posts that should help you remember the talk and also cover some of the topics left aside because of the time constraints.

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The software engineering industry in 2024: what changed, why, and what is next

The Pragmatic Engineer

The past 18 months have seen major change reshape the tech industry. What does it all mean for businesses and dev teams – and what will pragmatic software engineering approaches look like in the future? I tackled these burning questions in my conference talk, “What’s Old is New Again,” which was the keynote of the Craft Conference in May 2024.

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Data News — Week 24.28

Christophe Blefari

EuroSeagull ( credits ) Dear members, it's been a few weeks since I did not catch you on a proper Data News with a collection of links. Here we are. This week, I attended EuroPython in Prague. While I spent most of my time at the dltHub booth in the sponsors hall, I didn't attend many talks. However, I did give a few presentations on my SQL orchestration library, yato , which pairs well with dlt.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

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AI Lab: The secrets to keeping machine learning engineers moving fast

Engineering at Meta

The key to developer velocity across AI lies in minimizing time to first batch (TTFB) for machine learning (ML) engineers. AI Lab is a pre-production framework used internally at Meta. It allows us to continuously A/B test common ML workflows – enabling proactive improvements and automatically preventing regressions on TTFB. AI Lab prevents TTFB regressions whilst enabling experimentation to develop improvements.

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Data Engineering Weekly #180

Data Engineering Weekly

Canva: How Canva collects 25 billion events per day Canva writes about its event collection infrastructure capabilities, handling 25 billion events per day (800 billion events per month) with 99.999% uptime. At our team’s inception, a key decision we made, one we still believe to be a big part of our success, was that every collected event must have a machine-readable, well-documented schema.

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Snowflake’s Summer of Sports and AI

Snowflake

All eyes are on sports this summer, with blockbuster events happening in everything from soccer and cycling to cricket and car racing. Snowflake is excited to join the action with a virtual “relay race,” where Snowflake sports and data experts, customers and partners will demonstrate how the sports industry can win big with data and AI. Industry leaders already know that sports runs on data analytics: from individual athlete performance and team statistics, to marketing and fan engagement, to ti

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The Role of AI in Digital Marketing

KDnuggets

Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.

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Unlocking True Water Risk Assessment Worldwide

databricks

Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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How to best create large 3D web layers in ArcGIS

ArcGIS

You can host scene layers and 3D tiles layers in ArcGIS Online or reference datasets in cloud storage in ArcGIS Enterprise.

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Real Estate Price Prediction: Harnessing Machine Learning

WeCloudData

Discover how machine learning revolutionizes real estate price prediction, overcoming biases and empowering data-driven decisions. Harness AI for accurate market analysis and secure your dream home investment. The post Real Estate Price Prediction: Harnessing Machine Learning appeared first on WeCloudData.

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From Potential Disaster To Driver of Change… Data Execs Share Their Journeys To Effective AI

Snowflake

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner® Hype Cycle for Artificial IntelligenceI, 2023 1.

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Convert Bytes to String in Python: A Tutorial for Beginners

KDnuggets

Strings are common built-in data types in Python. But sometimes, you may need to work with bytes instead. Let’s learn how to convert bytes to string in Python.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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Understanding DevOps Teams Structure and Its Types

Edureka

Combining development (Dev) and IT operations (Ops) together can be perceived as a revolutionary collaborative approach. However, this collaboration demands the presence of authorised professionals who can add efficiency and finesse to any project. This is where a skillfully created DevOps team comes into play. The cross-functional deployment of carefully selected development and operations experts is necessary to make a DevOps project successful.

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Mastering Data Ingestion in Your Apache Iceberg Lakehouse

Hevo

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture.

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How to Become a Data Engineer (2024 Guide) 

WeCloudData

Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. Every enterprise is transforming in the direction of digitalization. For enterprises, data is full of infinite value. For all the data requirements of organizations, the first thing they need to do is to […] The post How to Become a Data Engineer (2024 Guide) appeared first on WeCloudData.

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Streamlining the Media Supply Chain

Snowflake

Leaders in the advertising, media and entertainment industries know all too well the importance of the media supply chain. It’s the backbone that keeps things running smoothly, including everything from content creation and management to content distribution and analytics. But media supply chains are becoming more complex to manage for several reasons.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Modernizing Logging at Uber with CLP (Part II)

Uber Engineering

Modernizing the fundamentals of log management at Uber: How we used CLP to build a new logging infra that lets users view and analyze their logs seamlessly, at scale!

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Patronus AI x Databricks: Training Models for Hallucination Detection

databricks

Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.

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How Google Security Operations Integration Protects Your IBM i and Z Data

Precisely

Key Takeaways: IBM mainframes present unique security challenges that make comprehensive visibility a must-have for modern IT security strategies. A siloed approach to security solutions doesn’t work anymore; strategic business-driven security is essential. Precisely Ironstream facilitates seamless real-time data integration to Google Security Operations, for faster and more effective threat management.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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What is Amazon Simple Queue Service (SQS)?

Edureka

Several widely used messaging systems, such as Amazon AWS Simple Queue Service (SQS), have been explicitly designed to decouple complexly organized systems. This article will provide an understanding of the aspects of queues, which include its definition, need for queues, characteristics of the queues, distinctions between the kinds of queues, how to employ the queues, the role of the queues with other AWS services as well as a brief look at the general architecture of a queue.

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10 GitHub Repositories to Master Data Science

KDnuggets

Learn data science through interactive courses, books, guides, code examples, projects, and free courses based on top university curricula. Also, access interview questions and best practices.

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Unleash the Power of SCD2 with Finalizer Tasks

Cloudyard

Read Time: 3 Minute, 11 Second This blog post showcases a real-time data pipeline built in Snowflake that leverages Slowly Changing Dimensions (SCD 2) and Finalizer Tasks to ensure your customer data is always fresh, accurate, and reflects historical changes. Imagine you have a system that continuously generates customer data, including customer number, status, balance, invoice information.

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Announcing the General Availability of Serverless Compute for Notebooks, Workflows and Delta Live Tables

databricks

We are excited to announce the General Availability of serverless compute for notebooks, jobs and Delta Live Tables (DLT) on AWS and Azure.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Enhancing Airline Customer Journeys with AI and Real-Time Data

Striim

The difference between a seamless customer journey and a frustrating one hinges on the effective use of real-time data powering AI systems. Customers find few things more frustrating than encountering disruptions during their travels. Delays and perceived indifference can sour their experience with your airline. The good news is, you have the tools to prevent these issues.

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What is Amazon Bedrock (AWS Bedrock)?

Edureka

The AI community remains ever-dynamic, and improvement in this field presents society with various opportunities. One of them is Generative AI, the scope of which is the models able to generate completely new output data, ranging from plain text and code through images and videos to music and graphic art. Here, we explain What is AWS Bedrock, how it works, and what applications developers can implement.

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Describing Data: A Statology Primer

KDnuggets

This collection of tutorials on describing data comes from our sister site Statology.

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Investigating Code Quality from PR Data by Amy Laws

Scott Logic

When a developer wants to make changes to a code base, they raise a pull request (PR) which contains the proposed changes to the code and a written summary of the changes made. Other developers will then review this PR, leaving comments or suggestions, before ultimately deciding whether to approve the changes. PRs contain valuable data which can help us to get an insight into the process of writing code, and the teams involved.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.