Data Engineering Weekly

SEPTEMBER 26, 2024

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach.

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Systems Engineering Data Warehouse Architecture 67

Waitingforcode

FEBRUARY 22, 2023

Having a scalable architecture is the nowadays must but sometimes it may not be enough to provide consistent performance. Sometimes the business requirements, such as consistent delivery time or ordered delivery, can add some additional overhead. Consequently, scalability may not suffice.

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Knowledge Hut

FEBRUARY 1, 2024

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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Systems Entertainment Algorithm Datasets 98

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Systems Media Machine Learning Data Warehouse 93

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

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Systems Metadata Data Pipeline MongoDB 130

Precisely

NOVEMBER 7, 2024

Key Takeaways: In the face of ransomware attacks, a resilience strategy for IBM i systems must include measures for prevention, detection, and recovery. No platform is immune, not even the reliable and secure IBM i systems. So, how can you keep your IBM i systems resilient even as ransomware risks are on the rise?

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Systems Accessible Accessibility Programming 59

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. Searching for data Imagine being a data engineer/analyst tasked with identifying the top-selling products within your company.

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Systems Raw Data Metadata Data Cleanse 79

Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. This keeps the system from idly waiting for the I/O work to finish, wasting CPU time. We'll explain the multiprogramming operating system in this article.

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Systems Utilities Programming Language Programming 98

Data Engineering Podcast

DECEMBER 25, 2022

Summary Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines.

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Machine Learning Systems Data Lake Data Warehouse 130

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. How does it work?

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Systems Software Engineer Software Engineering Data Warehouse 100

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

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Systems Pipeline-centric Machine Learning Transportation 87

Knowledge Hut

MARCH 22, 2024

I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems. On the other hand, fail-secure systems focus on maintaining continuous security, keeping doors locked even in difficult conditions to protect assets.

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Systems Electronics Hospitality Architecture 105

Tweag

JULY 5, 2023

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. Meta recently announced they have made Buck2 open-source.

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Systems Building Java Programming Language 141

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

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Systems Transportation Certification Healthcare 98

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

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Systems Hadoop Unstructured Data Media 104

databricks

OCTOBER 1, 2024

The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models.

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Generalist Systems Manufacturing Data Science 108

Pinterest Engineering

SEPTEMBER 19, 2024

Manager, Engineering | At Pinterest, we operate a large-scale online machine learning inference system, where feature caching plays a critical role to achieve optimal efficiency. Background Recommender systems are fundamental to Pinterest’s mission to inspire users to create a life they love.

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Systems Utilities Architecture Software Engineer 56

Confluent

JULY 26, 2021

Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […].

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Systems Cloud Designing Data Warehouse 116

Confluent

FEBRUARY 24, 2022

A few years ago I helped build an event-driven system for gym bookings. The pitch was that we were building a better experience for both the gym members booking different […].

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Systems Building Data 124

Precisely

MAY 30, 2024

Adopting unique cloud HA-DR strategies improves data redundancy and security, aligns with strict regulatory standards, and proactively manages disaster risks. Are you considering leveraging the cloud alongside your existing IBM AIX and IBM i systems infrastructure?

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Systems Cloud Cloud Computing Education 69

Knowledge Hut

DECEMBER 28, 2023

The information system is a very vast concept that encompasses several aspects like database management, the communication system, various devices, several connections, the internet, collection, organization, and storing data and other information-related applications that are typically used in a business forum.

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Systems Telecommunication Technology Certification 52

databricks

NOVEMBER 12, 2024

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

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Systems Engineering Technology Data 105

Zalando Engineering

MAY 13, 2024

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

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Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. Arcadia gives Meta’s researchers and engineers valuable insights into the performance of AI models and workloads in an AI cluster – enabling data-driven decision making in the design of AI clusters.

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Systems Architecture Designing Utilities 105

Engineering at Meta

AUGUST 9, 2023

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

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Systems Media Algorithm Machine Learning 92

Towards Data Science

OCTOBER 12, 2023

Construction engineer investigating his work — Stable diffusion Introduction In our previous publication, From Data Engineering to Prompt Engineering , we demonstrated how to utilize ChatGPT to solve data preparation tasks. In recent decades, data architectures have grown increasingly diverse and complex. This is a fair point.

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Data Integration Systems Engineering Datasets 68

Waitingforcode

FEBRUARY 3, 2023

And it shouldn't be, right? After all, it's "just" about using a Unit Test framework and defining the test cases. Well, that's "just" a theory!

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Systems Data IT 130

Striim

JULY 30, 2024

Ensuring system resilience is critical for maintaining a competitive edge in today’s data-driven world. As businesses rely on real-time data to fuel decision-making, it’s essential that their systems can withstand disruptions and maintain functionality. Check out this blog.) Here’s how it works.

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Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

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Systems Data Lake Google Cloud Cloud 104

Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. All these features make it easier to safeguard your data and also keep to the legal requirements.

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AWS Systems Amazon Web Services Cloud Storage 52

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Specifically, such discrepancies unfold into the following scenarios: Bug-free scenario : Our ads ranking system is working bug-free.

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Systems Machine Learning Data Mining Algorithm 94

Pinterest Engineering

AUGUST 8, 2024

In our previous system, which operated on a daily budget allocation model, the system relied on predicting daily budgets for individual users on a daily basis, constraining the flexibility and responsiveness required for dynamic user engagement and content changes. Figure 1 below shows the overview of the system architecture.

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Data Engineering Podcast

APRIL 24, 2022

Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model.

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Machine Learning Systems Data Lake Java 100

databricks

SEPTEMBER 4, 2024

Recommender systems (RecSys) have become an integral part of modern digital experiences, powering personalized content suggestions across various platforms. These sophisticated systems and.

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