Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.),

Transportation 77

Transportation MySQL Kafka Data 77

Rockset

JUNE 7, 2021

What Is Change Data Capture? Change data capture (CDC) is the process of recognising when data has been changed in a source system so a downstream process or system can action that change. There are many ways to implement a change data capture system, each of which has its benefits.

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IT Kafka Database MongoDB 40

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Workfall

FEBRUARY 28, 2023

In this blog, we will cover: What Is ChatGPT? How Does ChatGPT Function? 5 Workplace Applications for ChatGPT How Can ChatGPT Help You As A Software Developer? The ChatGPT responses are generated in real-time, based on a combination of my training data and the specific input it receives from users. Who Can Use ChatGPT?

Datasets 62

Datasets Coding Algorithm Technology 62

Edureka

FEBRUARY 18, 2023

In today’s fast-paced business world, data is essential to gain a competitive edge. BI can help organizations turn raw data into meaningful insights, enabling better decision-making, optimizing operations, enhancing customer experiences, and providing a strategic advantage. How BI Processes Data?

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Banking 59

Banking Kafka Cloud Storage Government 59

Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” Not only was he using the term, but his implementation was generating results. Data contracts have since became one of the most discussed topics in data engineering. Forward: A Data Engineering Movement Afoot? Or is it a passing fad?

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Data Warehouse Software Engineer Software Engineering Data 52

DataKitchen

NOVEMBER 18, 2022

Part 3: Considering the Elements of Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. Data and tool tests.

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Datasets Data Lake Data Pipeline Database 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

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Big Data Certification Hadoop Scala 52

ProjectPro

DECEMBER 17, 2021

So, if you are a professional data scientist or an enthusiast, read this article for a collection of take-home Data Science Challenges and develop better skills by attempting them. Working on take-home data science challenges is equally important for professionals and beginners alike.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools. What are Database Applications?

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Database NoSQL Telecommunication MongoDB 52

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Applications of AWS Projects Why should you work on AWS Projects?

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AWS Project Amazon Web Services Cloud Computing 52

Rockset

AUGUST 13, 2019

In a world where everyone is becoming an analyst , live dashboards surface up-to-date insights and operationalize real-time data to provide in-time decision-making support across multiple areas of an organization. It has the added benefit that many analysts at the company are already familiar with how to use the tool.

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BI NoSQL PostgreSQL AWS 40

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 84

Lyft Engineering

MARCH 12, 2024

In this article we describe how we extended our existing machine learning ecosystem to support Reinforcement Learning models, develop models using Off-Policy Evaluation, and the lessons learned along the way. That’s why we want to share how we went about it and what worked for us.

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Algorithm Machine Learning Datasets Food 66

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Implementation and designs of the model. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. The details of the Dataflow model.

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Google Cloud Process Cloud Lambda Architecture 62

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

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Process Transportation Kafka Entertainment 108

Pinterest Engineering

JANUARY 18, 2024

In this blog, we will focus on some online and offline discrepancies and development cycle learnings we have observed in Pinterest ads conversion models, as well as some of the key platform investments Pinterest has made to minimize such discrepancies. We’re actively working on optimizing the downstream efficiency.

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Systems Machine Learning Data Mining Algorithm 78

DoorDash Engineering

OCTOBER 19, 2023

Each team manages their own data and exposes access through gRPC services, an open-source remote procedure call framework used to build scalable APIs. Here we explain how we have streamlined caching through a Kotlin library, offering backend developers a fast, safe, and efficient way to introduce new caches.

Database 120

Database Coding Java Accessible 120

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 98

Pinterest Engineering

MARCH 5, 2024

Personalized recommendation is critical in the ads recommendation system because it can better capture users’ interests, connect the users with the compelling products, and keep them engaged with the platform. This allows us to capture users’ latest interests changes while still considering their longer-term patterns.

Machine Learning 60

Machine Learning Deep Learning Architecture Data Mining 60

Netflix Tech

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making.

Data 101

Data Data Pipeline MySQL Data Warehouse 101

LinkedIn Engineering

MAY 9, 2023

This solution achieved a cache hit rate of over 99%, reduced tail latencies by more than 60%, and trimmed the cost to serve by 10% annually. In this blog post we’ll discuss our decision to leverage Couchbase, the challenges that arose, and how we addressed each challenge in our final solution.

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Database Project Datasets Designing 133

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load.

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PostgreSQL Kafka Database Data 87

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. You might be wondering, is this a good solution? Building a resilient and scalable solution is not always easy. It involves many moving parts, from data preparation to building indexing and query pipelines.

Architecture 95

Architecture Building Kafka Database-centric 95

Edureka

JANUARY 12, 2024

These professionals have a wide range of skills that enable them to work at the front and back ends of web development. How to crack full stack Java developer Interview? How many rounds are there in Full Stack developer interview? Ensures smooth operation and data handling behind the scenes. What is CORS?

NoSQL 52

NoSQL Java MongoDB Programming 52

Data Engineering Weekly

MAY 28, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

DoorDash Engineering

AUGUST 15, 2023

We decided to seek potential solutions that could provide a more complete and unified picture of our networking topology. One of these solutions has been monitoring with eBPF, which allows developers to write programs that are injected directly into the kernel and can trace kernel operations.

Bytes 83

Bytes PostgreSQL Coding Database 83

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. It’s time-consuming, brittle, and often unrewarding.

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Data Engineering Data Engineer Data Process Process 183

Data Engineering Weekly

NOVEMBER 13, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. I'm a software engineer; how can I transition to a Machine Learning engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

DoorDash Engineering

JUNE 20, 2023

Here we discuss how we developed this ensemble model approach to: maintain accuracy while significantly reducing runtime, making it feasible to generate forecasts on targets with high dimensionality. These limits become particularly critical in long-term forecasting as the deviant trends and patterns accumulate along the forecasting horizon.

Machine Learning 72

Machine Learning Deep Learning Architecture Designing 72

Edureka

JUNE 1, 2023

In today’s digital era, businesses operate in a data-driven environment where data is generated at an unprecedented rate. This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. What is Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Pinterest Engineering

MAY 2, 2023

The sequence captures one’s recent actions in real-time, reflecting their latest interests as well as their shift of focus. No matter how fancy an ML model is, it must function within reasonable infrastructure costs. When we designed and implemented this system, we kept cost efficiency in mind from day one.

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. And getting it right matters even more to data organizations. This article will unpack everything you need to know about data lineage, including: What is it? What is data lineage?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

Netflix Tech

NOVEMBER 3, 2022

This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Systems 89

Systems Architecture Process AWS 89

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. In this way, we don’t think about solution architecture in just one dimension. Data evolution. This makes them easier to develop and amenable to change.

Architecture 89

Architecture Programming Kafka Database-centric 89

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. petabytes of data every hour! petabytes of data every hour!

Data Science 52

Data Science Project Food Pharmaceutical 52