April, 2024

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How does ChatGPT work? As explained by the ChatGPT team.

The Pragmatic Engineer

See a longer version of this article here: Scaling ChatGPT: Five Real-World Engineering Challenges. Sometimes the best explanations of how a technology solution works come from the software engineers who built it. To explain how ChatGPT (and other large language models) operate, I turned to the ChatGPT engineering team. "How does ChatGPT work, under the hood?

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Docker Fundamentals for Data Engineers

Start Data Engineering

1. Introduction 2. Docker concepts 2.1. Define the OS and its configurations with an image 2.2. Use the image to run containers 2.2.1. Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with. Most data projects use Docker to set up the data infra locally (and often in production).

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Making Email Better With AI At Shortwave

Data Engineering Podcast

Summary Generative AI has rapidly transformed everything in the technology sector. When Andrew Lee started work on Shortwave he was focused on making email more productive. When AI started gaining adoption he realized that he had even more potential for a transformative experience. In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers.

Data Lake 182
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Why did Golang lose to Rust for Data Engineering?

Confessions of a Data Guy

A few years ago I wasn’t sure, who was going to win, Golang seemed to be popular, and still is for that matter. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about. The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy.

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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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Apache Spark Vs Apache Flink – How To Choose The Right Solution

Seattle Data Guy

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds. As a result, frameworks such as Apache Spark and Apache Flink became popular due to their abilities to handle big data processing… Read more The post Apache Spark Vs Apache Flink – How To Choose The Right Solution appeared first on Seattle Data Guy.

Big Data 147
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Snowflake Arctic: The Best LLM for Enterprise AI — Efficiently Intelligent, Truly Open

Snowflake

Building top-tier enterprise-grade intelligence using LLMs has traditionally been prohibitively expensive and resource-hungry, and often costs tens to hundreds of millions of dollars. As researchers, we have grappled with the constraints of efficiently training and inferencing LLMs for years. Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourc

More Trending

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How to test PySpark code with pytest

Start Data Engineering

1. Introduction 2. Ensure the code’s logic is working as expected with tests 2.1. Test types for data pipelines 2.2. pytest: A powerful Python library for testing 2.2.1. Set context, run code, check results & clean up 2.2.2. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4. Define items to be shared among tests with conftest.

Coding 208
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Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem.

Data Lake 162
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Data Analytics Suck! Worst Job Ever!

Confessions of a Data Guy

Being Data Analytics is a meat grinder, it’s the worst job ever. Horrible it is. It will crush you. The post Data Analytics Suck! Worst Job Ever! appeared first on Confessions of a Data Guy.

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Terms You Should Know If You’re Planning To Use Change Data Capture

Seattle Data Guy

If you’ve worked in data long enough, then you’ve likely come across the term change data capture. Often called CDC, change data capture involves tracking and recording changes in a database as they happen, and then transmitting these changes to designated targets. This can be crucial because some pipelines, in particular batch pipelines, don’t capture… Read more The post Terms You Should Know If You’re Planning To Use Change Data Capture appeared first on Seattle D

Database 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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The Psychology of Data Visualization: How to Present Data that Persuades

KDnuggets

This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.

Data 143
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Weekend maintenance kicks an Italian bank offline for days

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

Banking 215
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A Breakthrough AI-Powered SQL Assistant

Snowflake

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. These queries can be time-consuming to write and challenging to maintain. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

SQL 137
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Build Your Second Brain One Piece At A Time

Data Engineering Podcast

Summary Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use.

Building 147
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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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Reaction to Data Engineering Survey for 2024

Confessions of a Data Guy

The post Reaction to Data Engineering Survey for 2024 appeared first on Confessions of a Data Guy.

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Export Symbols and Style Items from ArcGIS Pro

ArcGIS

Starting with ArcGIS Pro 3.2, you can export all symbols in the map as style items and save them to a style in a single process.

Process 143
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10 GitHub Repositories to Master Computer Science

KDnuggets

These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you gain the skills and knowledge necessary to thrive in the ever-evolving field of technology.

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Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apacheâ„¢ Spark clusters

databricks

Unlock the power of Apache Sparkâ„¢ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.

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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 Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. Four years later, the Snowflake Startup Challenge has grown into a premiere showcase for emerging startups, garnering interest from companies in over 100 countries and offering a prize package featuring a portion of up to $1 million in potential investment opportunities and exclusive

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Designing A Non-Relational Database Engine

Data Engineering Podcast

Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Monte Carlo

Good Night Moon. Where The Wild Things Are. The Cat in the Hat. And now, from the mind of Barr Moses, comes the historic next children’s literary classic: Mastering Data Quality And Your ABCs. A follow up to 2022’s Data Quality Fundamentals: A Practical Guide to Building Reliable Data Pipelines published by O’Reilly Media , Mastering Data Quality And Your ABCs educates the next generation of data and AI engineers about the importance of highly reliable data.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.

Metadata 109
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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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10 GitHub Repositories to Master Python

KDnuggets

Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.

Python 145
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Building Enterprise GenAI Apps with Meta Llama 3 on Databricks

databricks

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama.

Building 131
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Bidirectional Data Sharing Between Snowflake and Salesforce Data Cloud Is Now Generally Available 

Snowflake

Snowflake and Salesforce are happy to share that bidirectional data sharing between Snowflake, the Data Cloud company and Salesforce Data Cloud is now generally available. In September, we proudly announced that organizations could begin leveraging Salesforce data directly in Snowflake via zero-ETL data sharing to unify their customer and business data, accelerate decision-making and help streamline business processes.

Cloud 118
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May I Borrow That Idea? – Pasting Feature Layer Properties

ArcGIS

Starting with ArcGIS Pro 3.2, you can copy layer properties from one feature layer and paste them to another.

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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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How to Keep Your Project Moving During the Coronavirus Outbreak

Knowledge Hut

The Coronavirus outbreak has put the world into testing times and quite a frustrating one as well. People are being laid-off from work due to companies suffering from financial and production losses. Some still are directed to go to work and risk being infected with this terrible disease. The biggest challenge is companies facing difficulties to keep their projects running during this pandemic, especially with how teams work and communicate.

Project 98
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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

Designing 100
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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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Announcing the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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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.