July, 2024

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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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PyArrow vs Polars (vs DuckDB) for Data Pipelines.

Confessions of a Data Guy

I’ve had something rattling around in the old noggin for a while; it’s just another strange idea that I can’t quite shake out. We all keep hearing about Arrow this and Arrow that … seems every new tool built today for Data Engineering seems to be at least partly based on Arrow’s in-memory format. So, […] The post PyArrow vs Polars (vs DuckDB) for Data Pipelines. appeared first on Confessions of a Data Guy.

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Data News — Week 24.30

Christophe Blefari

Tallinn ( credits ) Dear members, it's Summer Data News, the only news you can consume by the pool, the beach or at the office—if you're not lucky. This week, I'm writing from the Baltics, nomading a bit in Eastern and Northern Europe. I'm pleased to announce that we have successfully closed the CfP for Forward Data Conf, we received nearly 100 submissions and the program committee is currently reviewing all submissions.

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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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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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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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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Running a successful data team is hard. Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology. In the past few years I have gotten to work with dozens of teams and see how various directors and managers deal… Read more The post 9 Habits Of Effective Data Managers – Running A Data Team appeared first on Seattle Data Guy.

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The Abstractions Are Making You Dumb (rise of the Shallow Expert)

Confessions of a Data Guy

When I was young and full of myself, writing Perl and PHP, while your ma was still reading you a bedtime story and giving you a stuffy to fall asleep with, I had to program uphill, both ways, in the rain and snow. Not like you milk toast Data Engineers clickty clicking around Databricks and […] The post The Abstractions Are Making You Dumb (rise of the Shallow Expert) appeared first on Confessions of a Data Guy.

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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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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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Data+AI Summit 2024 - Retrospective - Streaming

Waitingforcode

Welcome to the first Data+AI Summit 2024 retrospective blog post. I'm opening the series with the topic close to my heart at the moment, stream processing!

Data 130
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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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Data Engineering Weekly #181

Data Engineering Weekly

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. But how can we choose a tool for the specific need? The traditional evaluation of running PoC on all the selected vendor tools is time-consuming and practically unviable for growth-driven companies. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

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Robinhood Acquires Pluto, AI Investment Research Platform

Robinhood

Robinhood Markets, Inc. is excited to announce the acquisition of Pluto Capital Inc., an artificial intelligence (AI) powered investment research platform that delivers highly-customized investment strategies based on customer needs and financial goals. With this strategic acquisition, investors can look forward to a new era of intelligent, data-driven investing at Robinhood.

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Snowflake Admins Can Now Enforce Mandatory MFA

Snowflake

Snowflake is committed to helping customers protect their accounts and data. That’s why we have been working on product capabilities that allow Snowflake admins to make multifactor authentication (MFA) mandatory and monitor compliance with this new policy. As part of that effort, today we’re announcing several key features: 1. A new authentication policy that requires MFA for all users in a Snowflake account 2.

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A New Standard in Open Source AI: Meta Llama 3.1 on Databricks

databricks

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

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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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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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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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A Brief History of Modern Data Stack

Data Engineering Weekly

The origin - a legend The origin of the modern data stack is a topic of intense debate, shrouded in uncertainty and mystery. Some attribute its incubation to Snowflake, Redshift, or Airflow, while others propose different theories. Rather than being the result of a single event, the term "modern data stack" emerged from a series of innovations and industry shifts, adding to the intrigue of its history.

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Enhanced 3D Layers in ArcGIS

ArcGIS

Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.

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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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Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications

Snowflake

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. With Cortex Search, organizations can effortlessly deploy retrieval-augmented generation (RAG) applications with Snowflake, powering use cases like customer service, financial research and sales chatbots. Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust securi

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Welcoming Prodvana to Databricks: Investing in Next-Gen Infrastructure

databricks

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

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Top 8 GenAI Courses for AWS to Take Now

KDnuggets

This article is for anyone looking to maximize their use of Amazon Web Services (AWS) generative AI (GenAI) services. Here are eight courses that range from beginner to expert level.

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Meta’s approach to machine learning prediction robustness

Engineering at Meta

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Maintaining reliability of these ML systems helps ensure the highest level of service and uninterrupted benefit delivery to our users and advertisers. To minimize disruptions and ensure our ML systems are intrinsically resilient, we have built a comprehensive set of prediction robustness solutions that ensure stability w

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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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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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Generative AI in Urban Planning

ArcGIS

Planning a city block, a neighborhood, or maybe a whole new city is a multifaceted task with no universal recipe to use. How can Generative AI help Urban Planners?

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H2O.ai Simplifies Data Handling for AI with Snowflake Native Apps and Snowpark Container Services

Snowflake

For H2O.ai , a machine learning company, democratizing generative AI is not an empty motto, but a mission — one that requires action. And action depends on getting models, automated tools and analytics into the hands of people who can use them to experiment, iterate and create new uses for AI technology. H2O.ai’s primary goal is to simplify customer access to data for AI model training and inferencing, while safeguarding its customers’ data privacy and reducing data movement.

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Announcing Mosaic AI Agent Framework and Agent Evaluation

databricks

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

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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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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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Supply chain security in NPM - we can be optimistic about the future by Robat Williams

Scott Logic

It seems barely a month goes by without a new supply chain attack making the headlines, and malicious code in dependency packages from package registries such as NPM is a common method. My usual sentiments include “oh another one, what a surprise” , before thoughts eventually turn to - someone really ought to be doing something about this. Fortunately, it turns out that quite a few things are indeed being done - there’s progress, activity, and promising ideas for the future.

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Data Engineering Weekly #179

Data Engineering Weekly

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Learn More → Notion: Building and scaling Notion’s data lake Notion writes about scaling the data lake by bringing critical data ingestion operations in-house.

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Cloud Computing Future: 12 Trends & Predictions About Cloud

Knowledge Hut

Cloud computing is changing faster than we ever imagined. Every day, new features and capabilities have been released that change how we think about, use, and administer cloud services. Thus, the cloud computing future looks pretty bright and stable. There is no doubt that the cloud has disrupted the traditional IT landscape, and the momentum of cloud computing shows no signs of abating.

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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.