Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

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Systems Building Machine Learning Datasets 75

Data Engineering Podcast

DECEMBER 19, 2021

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. No more scripts, just SQL.

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Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

JANUARY 21, 2019

Summary Building internal expertise around big data in a large organization is a major competitive advantage. They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and what they have learned in the process.

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Big Data Systems Building Hadoop 100

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. What are the pros and cons of using Clojure for building Jepsen?

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Systems Building Scala Java 100

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. Prefect is the modern Dataflow Automation platform for the modern data stack, empowering data practitioners to build, run and monitor robust pipelines at scale. Can you describe what Schemata is and the story behind it?

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Systems Metadata Building MongoDB 100

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 52

Teradata

MAY 5, 2020

This post describes an analytics prototype to build an early warning system for COVID-19. Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic.

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Systems Building 118

Monte Carlo

AUGUST 17, 2022

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. It’s never too early to start building reliability into your data system. The stakes also get higher.

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Systems Building Data Data Engineering 52

KDnuggets

FEBRUARY 9, 2023

I built a recommender system for Amazon’s electronics category.

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Systems Electronics Python Building 106

Data Engineering Podcast

OCTOBER 15, 2023

Summary Building streaming applications has gotten substantially easier over the past several years. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. How can you get the best results for your use case? Rudderstack : ![Rudderstack]([link]

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Process Building SQL BI 182

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. What are the technical systems that you are relying on to power the different data domains?

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Building Metadata Machine Learning Data Integration 147

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

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Does it sound familiar?

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Systems Raw Data Metadata Data Cleanse 84

KDnuggets

MAY 18, 2023

Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale.

Machine Learning 81

Machine Learning Designing Systems Building 81

Rockset

SEPTEMBER 2, 2022

I recently had the good fortune to host a small-group discussion on personalization and recommendation systems with two technical experts with years of experience at FAANG and other web-scale companies. Nikhil Garg is CEO and co-founder of Fennel AI , a startup working on building the future of real-time machine learning infrastructure.

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Systems Building Machine Learning NoSQL 52

Data Engineering Podcast

AUGUST 27, 2023

Summary Data persistence is one of the most challenging aspects of computer systems. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. Why Postgres? Rudderstack]([link] Introducing RudderStack Profiles.

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Database Building PostgreSQL BI 130

Edureka

APRIL 19, 2024

In other words, you don’t need to be a programmer or have any coding background to dive into this creative process of building a chatbot using prompt engineering. In this tutorial blog, we’ll be building a chatbot using prompt engineering inspired by Steve Harvey, offering tailored advice on life motivation and personal growth.

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Building Engineering Coding Systems 52

Confluent

JANUARY 25, 2024

Read how we built a real-time alerting service with Confluent Cloud and Slack to enable our field-facing teams with the data, insights, and suggested actions they need.

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Cloud Systems Building Data 70

Knowledge Hut

DECEMBER 27, 2023

The job of a business systems analyst is a uniquely cross-functional one that plays a critical role in improving a company’s processes for better operational efficiency. What is Business Systems Analyst? Business systems analyst duties also include writing instruction manuals and analyzing costs and benefits related to technology.

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Systems Business Analyst Consulting Certification 52

Knowledge Hut

JANUARY 18, 2024

CISSP stands for Certified Information Systems Security Professional, and it is a certification in cyber security. This professional certification is developed and offered by (ISC)2, also known as International Information Systems Security Certification Consortium. are interconnected and can be a part of your job description.

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Systems Certification Consulting Education 52

KDnuggets

JULY 7, 2022

Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product. We've been long working on improving the user experience in UGC products with machine learning.

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Systems Machine Learning Building IT 115

Knowledge Hut

DECEMBER 5, 2023

If you have a passion for information technology (IT) and dream of turning it into a fulfilling career, ponder the path of a systems engineer. Join us on a detailed exploration of who can pursue a career as a systems engineer and the steps to become one in the year 2024. Who is a System Engineer, and What Do They Do?

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Systems Engineering Recruitment Electronics 52

Data Engineering Podcast

FEBRUARY 20, 2022

He also explains how he has architected the systems that ingest, process, and distribute the data that he is responsible for and the requirements that are introduced when collaborating with researchers, domain experts, and machine learning developers. And don’t forget to thank them for their continued support of this show!

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Systems Software Engineer Software Engineering Data Warehouse 100

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. What technical systems are required to generate and collect those interactions?

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Building IT Metadata MongoDB 130

Lyft Engineering

JUNE 28, 2023

In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. However, streaming data was not supported as a first-class citizen across many of the platform’s systems — such as training, complex monitoring, and others.

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Machine Learning Building Metadata Kafka 115

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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Systems Kafka SQL Government 100

Towards Data Science

OCTOBER 12, 2023

The associated data in our scenario is stored in a SAP HCM system which is one of the leading applications for human resource management in enterprise environments. To solve this kind of objective, every data engineer needs to build up a lot of business related knowledge which is strongly interdependent to the underlying data model.

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Data Integration Systems Engineering Datasets 72

Engineering at Meta

NOVEMBER 15, 2023

Meta is building for the future of AI at every level – from hardware like MTIA v1 , Meta’s first-generation AI inference accelerator to publicly released models like Llama 2 , Meta’s next-generation large language model, as well as new generative AI (GenAI) tools like Code Llama.

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Building Engineering Transportation Software Engineer 86

Start Data Engineering

JULY 11, 2020

Intro A very common use case in data engineering is to build a ETL system for a data warehouse, to have data loaded in from multiple separate databases to enable data analysts/scientists to be able to run queries on this data, since the source databases are used by your applications and we do not want these analytic queries to affect our application (..)

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Systems Designing ETL System Data Warehouse 130

Lyft Engineering

APRIL 24, 2024

The Technical Learning workstream offers Lyft scientists the opportunity to build or brush up their core data science skills across multiple areas. An oddball in the past offerings by Tech Learning is the series titled “How to Build a Rideshare Company.”

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Data Science Building Computer Science Software Engineer 66

Yelp Engineering

MARCH 7, 2024

This blog post covers how we leverage Yelp’s extensive streaming infrastructure to build robust data abstractions for our offline and streaming data consumers. Key terminology Let’s start by covering certain key terms used throughout the post: Offline systems - data warehousing platforms such as AWS Redshift or.

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Building AWS Data Pipeline Data 59

Cloudera

DECEMBER 1, 2023

It focuses on five key pillars: investing in research and development; unleashing government AI resources; setting standards and policy; building the AI workforce; and advancing trust and security. AI systems must operate within a framework that promotes ethical practices, transparency, and accountability. million), among others.

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Building Government Transportation Data Governance 104

Confluent

FEBRUARY 6, 2024

Confluent enables real-time, reliable, scalable, and secure communication between IoT devices, applications, and backend systems. Streamline data processing and unlock analytics to boost productivity and time to market while lowering infrastructure costs.

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Building Data Data Process Systems 116

Knowledge Hut

DECEMBER 27, 2023

System administrators are experts who manage several tasks and are appropriately referred to as "jacks of all crafts." System administrator abilities are useful in this situation. Recent automation and cloud computing advancements have created new opportunities for system administrators to pursue lucrative careers.

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Systems Cloud Computing Certification Programming Language 52

Knowledge Hut

OCTOBER 11, 2023

System engineering is a multidisciplinary field that ensures that a system achieves its intended goals effectively and efficiently taking numerous technical, organizational, and operational elements into account. In this post I will walk you through the role of a system engineer. What Does a System Engineer Do?

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Systems Engineering Cloud Computing Programming Language 52

Knowledge Hut

OCTOBER 4, 2023

Below are the Power BI requirements for the system. Supported operating system: Power BI program can be installed in a device with the following operations systems. While designing reports, they are usually represented in two or three pages through the Power Bi system. GHz with the recommended level of 2.0 GHz or faster.

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