Sat.Apr 20, 2024 - Fri.Apr 26, 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.

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7 Python Libraries Every Data Engineer Should Know

KDnuggets

Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.

Python 160
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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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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.

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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.

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More Trending

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Retrieval Augmented Generation: Where Information Retrieval Meets Text Generation

KDnuggets

This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.

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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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Event time skew in stream processing

Waitingforcode

As a data engineer you're certainly familiar with data skew. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures. Turns out, stream processing also has its skew but more related to time.

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Your Living Atlas Questions Answered

ArcGIS

Do you have questions about how to access, use, or nominate content within ArcGIS Living Atlas of the World? Check out this blog for answers.

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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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Is Data Science a Bubble Waiting to Burst?

KDnuggets

The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.

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Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apache™ Spark clusters

databricks

Unlock the power of Apache Spark™ 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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#ClouderaLife Allyship April Q&A with Antoine Burrell

Cloudera

This month is Allyship April—a time dedicated to deepening our understanding of allyship and its profound impact on fostering inclusive cultures. Allyship isn’t merely a buzzword; it’s a fundamental commitment to actively support and advocate for marginalized individuals and communities within our organization. This month, we’ve engaged in meaningful conversations, challenged our assumptions, and committed to tangible actions that drive positive change.

Education 102
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Drawing a Blank? Understanding Drawing Alerts in ArcGIS Pro

ArcGIS

A drawing alert notification system was added in ArcGIS Pro 3.2 as a method for resolving drawing issues in your ArcGIS Pro projects.

Project 113
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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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Free Google Cloud Learning Path for Gemini

KDnuggets

Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.

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Register now and save 50% on training at Data + AI Summit

databricks

For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer.

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Ensono Cuts Costs with Snowflake Connector for ServiceNow

Snowflake

If you’re a Snowflake customer using ServiceNow’s popular SaaS application to manage your digital workloads, data integration is about to get a lot easier — and less costly. Snowflake has announced the general availability of the Snowflake Connector for ServiceNow, available on Snowflake Marketplace. The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. Machine Learning is among the fastest evolving trends in the I T industry. It has found tremendous use in sectors across industries, with its ability to solve complex problems which humans are not able to solve using traditional techniques.

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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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5 Free Stanford University Courses to Learn Data Science

KDnuggets

Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!

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Announcing the winners of the Databricks Generative AI Hackathon

databricks

We’re excited to announce the Databricks Generative AI Hackathon winners. This hackathon garnered hundreds of data and AI practitioners spanning 60 invited companies.

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Are we ready to put AI in the hands of business users? by Caitlin Salt

Scott Logic

Generative AI has been grabbing headlines, but many businesses are starting to feel left-behind. Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with.

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What are the benefits of training for PRINCE2?

Knowledge Hut

The era of rapid change We are living in an era where change has become the norm rather than an exception. Emerging technologies and market unpredictability have further fueled change, impacting all industries globally. But the true test of an organization's capability is its ability to endure change and adapt to it. This is the philosophy of ‘Kaizen’ or changing for the better, that helps organizations stay competitive, relevant and in focus with the customer.

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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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7 End-to-End MLOps Platforms You Must Try in 2024

KDnuggets

List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

Back in October, we announced the first-ever Cloudera Climate and Sustainability Hackathon , powered by AMD. The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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ArcGIS Production Mapping and ArcGIS Defense Mapping: Getting Started with Generalization

ArcGIS

Learn how to dynamically produce output data and information products at any scale from a single best-scale data source.

Data 75
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Penetration Testing [Pen Test]: Types, Methodology & Stages

Knowledge Hut

You are here to read this article, so we assume you are already aware of the terms “hacking”, “hackers,” and other words associated with unauthorized access. Penetration testing or ethical hacking is the process of attempting to gain access to target resources and perform actual attacks to find loopholes in the system and measure the strength of security.

Cloud 98
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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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How to Standout and Safeguard Your Job in the Generative AI Era

KDnuggets

The secret recipe to excel in your career in AI.

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Enhancing Distributed System Load Shedding with TCP Congestion Control Algorithm

Zalando Engineering

Introduction Our team is responsible for sending out communications to all our customers at Zalando - e.g. confirming a placed order, informing about new content from a favourite brand or announcing sales campaigns. During the preparation of those messages as well during sending those out via different service providers we have to deal with limited resources.

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Magnite’s Seamless Petabyte Scale Cross-Region Migration with Snowgrid

Snowflake

Magnite stands as the largest independent sell-side advertising platform, providing an essential bridge between publishers and advertisers. At its core, Magnite streamlines the advertising process, facilitating the buying and selling of advertising space across various channels, including connected TV (CTV), mobile, and desktop environments. By leveraging advanced technology and data analytics, Magnite offers a comprehensive suite of tools and services designed to maximize ad revenue for publish

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What are the Basics of Python 3

Knowledge Hut

What is Python 3? Python 3 is an interpreted language, which means that anyone can read and execute the code. Python is used to create websites, perform scientific research, data analysis etc. Python 3.9 is the latest version of Python. Why Learn Python 3? Python is one of the fastest growing and in-demand programming languages. It has a very easy learning curve, due in large part to its simple, user-friendly syntax.

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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.