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?

Systems 100

Systems Building Scala Java 100

Netflix Tech

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. We build creator tooling to enable these colleagues to focus their time and energy on creativity.

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Media Building Algorithm Machine Learning 116

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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Designing Systems Architecture Coding 62

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.

Systems 86

Systems Media Algorithm Machine Learning 86

Edureka

MAY 24, 2023

Introduction to Data Structures and Algorithms Data Structures and Algorithms are two of the most important coding concepts you need to learn if you want to build a bright career in Development. Topics to help you get started What are Data Structures and Algorithms?

Algorithm 72

Algorithm Programming Language Java Programming 72

ProjectPro

MARCH 5, 2021

Welcome to the World of Recommender Systems!!! Table of Contents What is a Recommender System? The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems.

Algorithm 40

Algorithm Systems Python Datasets 40

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.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys.

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Building Algorithm Kafka Machine Learning 91

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. We need a systemized source of truth that can simulate various performance factors across compute, storage, and network collectively. For instance, the AI Research SuperCluster for AI research.

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Systems Architecture Utilities Designing 104

Data Engineering Podcast

DECEMBER 2, 2018

Summary Distributed systems are complex to build and operate, and there are certain primitives that are common to a majority of them. Rather then re-implement the same capabilities every time, many projects build on top of Apache Zookeeper. What are the distributed systems primitives that are built into Zookeeper?

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Systems Building Kafka Java 100

Knowledge Hut

JUNE 27, 2023

Data structures and algorithms are the building blocks of effective software in computer science and programming. We shall also discuss various data structures and algorithm projects with source code. What is an Algorithm? Software engineers need to understand algorithms to design dependable and effective code.

Algorithm 52

Algorithm Coding Project Food 52

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.

Building 108

Building Government Transportation Data Governance 108

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

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

Knowledge Hut

OCTOBER 27, 2023

System design projects involve creating a plan for a complex system that will meet specific requirements or solve a particular problem. These projects may involve designing software applications, network infrastructures, manufacturing processes, or other complex systems. What is System Design?

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Designing Systems Project Cloud Computing 52

Rockset

MARCH 18, 2024

Building a real-time, contextual and trustworthy knowledge base for AI applications revolves around RAG pipelines. Indexing vectors: Indexing algorithms can help to search across billions of vectors quickly and efficiently. What are the challenges building RAG pipelines? They also need to be designed for real-time updates.

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Cloud Building Metadata Kafka 64

Robinhood

MAY 30, 2024

With the Robinhood Crypto trading API, customers can write their own programs to engage with cryptocurrency markets in real-time, leveraging algorithms and strategies to execute trades swiftly and efficiently. We also engage third-party security experts to test our systems, helping us build some of the most secure systems in the industry.

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Insurance Portfolio Algorithm Coding 130

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Our commitment is evidenced by our history of building products that champion inclusivity. “Everyone” has been the north star for our Inclusive AI and Inclusive Product teams.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in. We all have been through this.

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Machine Learning Algorithm Datasets Project 72

Knowledge Hut

MAY 30, 2024

Integrated Blockchain and Edge Computing Systems 7. Survey on Edge Computing Systems and Tools 8. Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. A Survey on Edge Computing Systems and Tools Semantic Scholar With the rise in population, the data is multiplying by manifolds each day.

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Computer Science Data Mining Algorithm Machine Learning 98

Booking.com Engineering

NOVEMBER 8, 2022

Abstract : Customer reviews is a high-traffic system, which requires scaling to meet peak usage times. A consistent hashing algorithm that allowed for scaling without removing any of our availability zones from receiving traffic. Introduction Business case Booking.com’s review system is a core part of our platform.

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Systems Algorithm Consulting Architecture 52

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

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Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

NOVEMBER 8, 2021

Computer Vision focuses on replicating the complex working of the human visual system and enabling a machine or computer to identify and process different objects in videos and images, just like a human being. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

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Algorithm Medical Datasets Python 52

Engineering at Meta

MAY 16, 2023

Making MySQL server a true distributed system also has opened up possibilities in downstream systems to leverage it. Over the last few years, we have implemented MySQL Raft, a Raft consensus engine that was integrated with MySQL to build a replicated state machine. We enhanced MySQL and made it a true distributed system.

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MySQL Building Engineering Database 137

Snowflake

DECEMBER 11, 2023

While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.

Building 90

Building Cloud Media Algorithm 90

Netflix Tech

JUNE 1, 2023

To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. We used this simulation to help us surface problems of scale and validate our Ads algorithms. Basic with ads was launched worldwide on November 3rd.

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Algorithm Metadata Kafka Systems 136

Netflix Tech

OCTOBER 14, 2021

In the aftermath Ryan Sleevi wrote a really great blog post not just about the issue of this one certificate’s expiry, but the problem that so many TLS implementations have in general with certificate path building. If a client only trusted “AddTrust External CA Root” then this would be fine; that client can build a certificate chain 1 ?

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Certification Building Algorithm Java 66

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100

Systems Java Media Algorithm 100

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database platform. But what happens if you need something customized to your application?

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Systems MongoDB NoSQL Database 100

Knowledge Hut

APRIL 25, 2024

This programming language is used for general purposes and is a robust system. Data Structures and Algorithms In simple terms, the way to organize and store data can be referred to as data structures. As previously mentioned, backend developers need to know about algorithms that can help them be the best in their profession.

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Programming Language Java Algorithm MySQL 98

U-Next

SEPTEMBER 7, 2022

Recommendation System – Created by Machine Learning . A recommender system, broadly defined, is a system that anticipates the ratings a user would give to a certain item. . These kinds of systems have helped both the users and the services offered. What Are Recommender Systems? .

Machine Learning 40

Machine Learning Systems Algorithm Datasets 40

ProjectPro

JANUARY 24, 2023

To build and deploy their machine learning models, DeepVision used Amazon SageMaker. They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e., on-site at the construction sites) using SageMaker's deployment options.

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Building Algorithm Machine Learning AWS 52

Booking.com Engineering

DECEMBER 2, 2022

From a technical perspective, solving this requires machine learning and operational infrastructure at scale, which is processing performance feedback, assessing historical performance and after running algorithms, communicating results back to a search engine provider. Fig 1: A Google search displaying our PPC advertisement.

Systems 52

Systems Cloud MySQL Relational Database 52

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. soft or hard skill), descriptions of the skill (“the study of computer algorithms…”), and more. What is the skills taxonomy?

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Building Recruitment Machine Learning Deep Learning 85

Zalando Engineering

MARCH 1, 2021

In order to provide an excellent customer experience, we must ensure our systems can technically handle high traffic events such as Cyber Week or other sales campaigns. Checkout and payments related systems are particularly important during sales events. We have published a detailed article on how Zalando prepares for the Cyberweek.

Systems 40

Systems Building Java Algorithm 40

Knowledge Hut

MAY 3, 2024

Apache Spark is a fast and general-purpose, cluster computing system. Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Following is the authentic one-liner definition. All of those give similar gist, just different words.

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Scala Hadoop Healthcare Big Data 98

Data Engineering Podcast

JUNE 1, 2020

What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert. 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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Data Lake Database Building Lambda Architecture 100