September, 2023

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What the interns have wrought, 2023 edition

Jane Street

We’re once again at the end of our internship season, and it’s my taskto provide a few highlights of what the dev interns accomplished whilethey were here.

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Threads: The inside story of Meta’s newest social app

Engineering at Meta

Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.

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Best Practices for LLM Evaluation of RAG Applications

databricks

Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval.

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Article: Domain-Driven Cloud: Aligning your Cloud Architecture to your Business Model

InfoQ Articles

Domain-Driven Cloud (DDC) is an approach for creating your organization’s cloud architecture based on your business model. Based on Domain-Driven Design (DDD) and the architecture principle of high cohesion and low coupling, this article introduces DDC including the technical and human benefits of aligning your cloud architecture to the bounded contexts in your business model.

Cloud 137
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How Cloud Economics Help Businesses Build Cyber Resilience in the Cloud

Dataversity

Cloud computing has enabled many organizations to improve the scalability and flexibility of a variety of crucial business functions. As migration to cloud-based solutions gains momentum, understanding the total cost of cloud adoption is crucial. Cloud economics, in particular, is a framework that has been tailored to evaluate and enhance the financial dimensions of harnessing […] The post How Cloud Economics Help Businesses Build Cyber Resilience in the Cloud appeared first on DATAVERSITY

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The 5 Stages of Your Data Analytics Journey

TDAN

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

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He helped shape WallStreetBets. Now Kevin Xu is betting on his own social app.

Mixpanel

They say write what you know. Why wouldn’t the same go for building apps? Kevin Xu is an engineer-turned-product manager with experience at big tech companies like Google and Stripe. But if you happen to be a “very online” retail stock trader, you may know him as Sir Jack , one of the WallStreetBets community’s more notorious and successful meme stock investors.

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More Trending

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Deploy Private LLMs using Databricks Model Serving

databricks

We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy.

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Article: Bridging Silos and Overcoming Collaboration Antipatterns in Multidisciplinary Organisations

InfoQ Articles

There's a worrying trend towards focusing on specialisms at the expense of collaboration, shared responsibility and valuable outcomes, which can take teams away from multi-disciplinary collaboration. This article calls out three collaboration anti-patterns that appeared in more than one organisation, some of the symptoms they cause and some thoughts on how to go about counteracting them.

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The Cool Kids Corner: The Interplay Between Data Governance and AI

Dataversity

Hello! I’m Mark Horseman and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). What do we need […] The post The Cool Kids Corner: The Interplay Between Data Governance and AI appeared first on DATAVERSITY.

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How to Run Apache Kafka on Windows

Confluent

Kafka-on-Windows tutorials are everywhere, but most run Kafka directly on Windows.

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Establishing a new architecture practice in agile organisations

Ben Morris

How should you go about building an architecture practice in organisations where people are allowed to say no? Ultimately, this becomes an exercise in persuasion, pragmatism, and patience.

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Arcadia: An end-to-end AI system performance simulator

Engineering at Meta

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. Extracting maximum performance from an AI cluster and increasing overall efficiency warrants a multi-input system that accounts for various hardware and software parameters across compute, storage, and network collectively.

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Introducing MLflow 2.7 with new LLMOps capabilities

databricks

As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7. A.

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Article: Why Developers and Staff+ Engineers Should Get Involved in Open-Source Collaborative Development

InfoQ Articles

Over the last 30 years, the world has become connected and digital. Open source is how we do modern software development, stitching together downloaded open-source libraries, frameworks, and other code to create new applications or functionality. This is why every developer and senior staff+ roles need to know what open source is and how it works.

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Finding the Right Data Science Role: 4 Key Criteria

Dataversity

Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data […] The post Finding the Right Data Science Role: 4 Key Criteria appeared first on DATAVERSITY.

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Design and Deployment Considerations for Deploying Apache Kafka on AWS

Confluent

Want to run Kafka on AWS? Our full tutorial provides expert recommendations on how to deploy, monitor, and manage Kafka clusters on AWS.

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How DoorDash Fosters Meaningful Engineering Career Development

DoorDash Engineering

As a tech company, it’s our products and platform – and the engineers that build them – that power what DoorDash is able to offer our Consumers, Dashers, and Merchants every day. We thrive on tackling challenging technical problems and creating opportunities for customers, and take a lot of pride in what we do (and, as regular readers know, periodically share details about our work on this blog).

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Using Chakra execution traces for benchmarking and network performance optimization

Engineering at Meta

Meta presents Chakra execution traces , an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. Chakra execution traces represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. In collaboration with MLCommons , we are seeking industry-wide adoption for benchmarking.

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How Edmunds builds a blueprint for generative AI

databricks

This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds. Long envisioned as a key milestone in computing, we've.

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Article: AI, ML, and Data Engineering InfoQ Trends Report - September 2023

InfoQ Articles

In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.

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Is Your Data Ready for Generative AI?

Dataversity

Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […] The post Is Your Data Ready for Generative AI?

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The Role of IT in Data Governance

TDAN

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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How DoorDash Defines Great Engineering Management

DoorDash Engineering

As an Engineering org, we are tremendously proud of our accomplishments throughout the history of DoorDash, particularly in recent years as we’ve grown and scaled in service of our customers. This success has been heavily influenced by the strength and leadership of our Eng management team; great companies are built by great people who have great managers.

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What’s it like to write code at Meta?

Engineering at Meta

Ever wonder what it’s like to write code at Meta’s scale? On the latest episode of the Meta Tech Podcast , Meta engineer Pascal Hartig ( @passy ) sits down with Dustin Shahidehpour and Katherine Zak, two software engineers at Meta, about their careers and what it’s really like to ship code at Meta. Why does Meta have a monorepo?

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Introducing the Support of Lateral Column Alias

databricks

We are thrilled to introduce the support of a new SQL feature in Apache Spark and Databricks: Lateral Column Alias (LCA). This feature.

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Article: Managing the Carbon Emissions Associated with Generative AI

InfoQ Articles

There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life. Factors such as model architecture, transparency and quantization of models are required to decrease carbon emission from AI systems.

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Transforming Decision-Making Processes

Dataversity

On a typical day, managers spend 37% of their time making decisions, according to a McKinsey study. Decisions are the lifeblood of a business and need to be made with accuracy and speed. The manual and complex process of decision-making today amounts to 530,000 days of lost productivity and roughly $250 million in labor costs for the […] The post Transforming Decision-Making Processes appeared first on DATAVERSITY.

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Combatting Spammers in Real Time: Unleashing the Power of AI

Confluent

Use Confluent connectors, stream governance and stream processing and artificial intelligence (AI) to block spammers, reduce network load, and improve your customers' experiences in real time.

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Through the Looking Glass: Data Provenance in the Age of Generative AI

TDAN

Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world.

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Heavy Networking 703: Integrating ZTNA And SASE With Palo Alto Networks (Sponsored)

Packet Pushers

Todays Heavy Networking, sponsored by Palo Alto Networks, discusses Zero Trust Network Access (ZTNA) across the Secure Access Service Edge (SASE). You could think of ZTNA, as VPN evolved and SASE as SD-WAN evolved. Not only do you get an overlay connectivity fabric, but you also get cloud-hosted security services. We talk about how it all works together, the role of client software, Palo Alto Networks' architecture, integrating an IDP, and more.

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easyJet bets on Databricks Lakehouse and Generative AI to be an Innovation Leader in Aviation

databricks

This blog is authored by Ben Dias, Director of Data Science and Analytics and Ioannis Mesionis, Lead Data Scientist at easyJet Introduction to.

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Article: Building Kafka Event-Driven Applications with KafkaFlow

InfoQ Articles

KafkaFlow, a.NET open-source project, simplifies Kafka-based event-driven app development with features like middleware for message processing, enhancing maintainability, customization potential, and allowing developers to prioritize business logic.

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Data Marketplace, Data Catalog, and Data Sharing Agreements: Let’s Make It Clear

Dataversity

As some of you already know, I am dedicating these summer days to the writing of my new book, “99 Questions About Data Management,” which follows in some way the book “20 Things You Have to Know About Data Management.” After the many questions I have received, I find it interesting to answer this one: […] The post Data Marketplace, Data Catalog, and Data Sharing Agreements: Let’s Make It Clear appeared first on DATAVERSITY.

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Announcing Confluent’s Data Streaming Startup Challenge

Confluent

Startups using data streaming can submit an application to win an investment from Confluent.

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Legal Issues for Data Professionals

TDAN

The catapulting of data to become a new class of business assets and the rapid evolution of generative and non-generative AI requires the integration of data and law for success in today’s business environment.

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Recent Cyber Attacks Hit LA Businesses Hard: Examining the Impact and Lessons Learned

Akins IT

The city of Los Angeles has long been a hub for innovation and commerce. However, in the digital age, the city's businesses have become targets for increasingly sophisticated cyber attacks. In this blog post, we'll examine a few of the instances where recent cyber attacks have severely impacted LA businesses, shedding light on the challenges they faced and the lessons we can glean from these real-world scenarios.