Netflix Tech

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

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Systems Architecture Portfolio Designing 133

Knowledge Hut

APRIL 25, 2023

In this article, we will look at how a scrum master facilitates events such as daily scrum meetings, sprint planning, sprint review, and sprint retrospective meetings. They also support the team in improving their process and collaborating more successfully. Also, we will discuss what qualities they must have to be great facilitators.

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Utilities Project Certification Process 98

Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. An event is generated by a producer (e.g. online dashboard).

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Kafka Python Process Google Cloud 76

Eventbrite Engineering

MARCH 12, 2024

1 Background Relevance tuning is the process of making incremental changes to a search algorithm to improve the ranking of search results to better meet the information needs and preferences of users. Authored by: Zelal Gungordu and Delaine Wendling.

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Algorithm Engineering Process Machine Learning 52

Data Engineering Podcast

OCTOBER 15, 2023

Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. Check out the agenda and register today at Neo4j.com/NODES.

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Process Building SQL BI 182

Cloudyard

FEBRUARY 27, 2024

Read Time: 2 Minute, 18 Second In the ever-evolving world of data management, streamlining processes and ensuring data freshness are crucial. This blog post showcases a novel approach combining Snowflake’s Event Logging and Dynamic Tables to automate the creation and population of dynamic tables based on Copy operations.

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Data Warehouse Utilities Architecture Data Management 52

Edureka

AUGUST 27, 2024

We shall examine the PRINCE2 process model during this post, which is an organized method for managing projects successfully. Table of Contents: What is the Process Model of PRINCE2? To market efficient project management, each process has distinct goals, inputs, outputs, and actions.

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Process Project Utilities Management 52

Cloudyard

JULY 16, 2023

Read Time: 2 Minute, 13 Second During the last post we discussed about the Event tables and how these are used for Error logging in your process. The UDTF was responsible of parsing JSON data in a tabular format and identify any erroneous records and log into an Event table. Event tables.

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Metadata Python Utilities Coding 52

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. Yeah…I can do that already!

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Process Kafka SQL Datasets 83

Cloudyard

JULY 20, 2023

Read Time: 1 Minute, 38 Second During the previous post we discussed the usage of EVENT table with Python and Javascript procedure. In continuation of the same we will explore how we can leverage the EVENT tables in SQL scripting. We will use the EVENT tables to log the error and other details through SQL scripting procedure.

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SQL Python Systems Designing 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload.

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Google Cloud Process Cloud Lambda Architecture 60

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Data Process Process Metadata Finance 92

Start Data Engineering

APRIL 4, 2020

One of the most common issues when ingesting and processing user generated events is, how to deal with late arriving events. Some of the general issues that data engineers usually have are “What should be considered the event time?” Yet this topic is not extensively discussed.

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Data Engineer Data Engineering Engineering Process 130

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. Pillar 4 – Operational plane: Event logging, DLQs and automation. Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture.

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Kafka Pipeline-centric Architecture Database-centric 94

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? Serverless functions provide a synergistic relationship with event streaming applications; they behave differently with respect to streaming workloads but are both event driven. Event-first FaaS? Event-first FaaS.

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Kafka AWS Architecture Cloud 109

Confluent

SEPTEMBER 9, 2021

I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost […].

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Database Data Process 91

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. So our solution was to start using an intentional contract: Events. What are Events? Events are facts about what happened within your service.

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Kafka ETL Tools BI Database 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. This is where the processes are filtered and analyzed.

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Architecture Database-centric Process BI 52

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

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Process Data Lake Systems Bytes 83

Workfall

SEPTEMBER 26, 2023

Reading Time: 9 minutes In this blog, we will cover: What are Server-Sent Events? Why Stream Data Using Server-Sent Events (SSE)? Hands-On Conclusion What are Server-Sent Events? These events can carry information like notifications, updates, or alerts. What is FastAPI?

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Python Bytes Coding Project 85

Workfall

JUNE 27, 2023

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. In the event of server failure, Kafka can autonomously restart itself, ensuring uninterrupted data flow. Let’s get started!

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Kafka Architecture AWS Transportation 75

Confluent

FEBRUARY 8, 2024

Luckily, taking an event-driven approach can make the process more manageable. Struggling to get your GenAI app off the ground? You’re not alone—GenAI apps can be challenging to build. Learn how.

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Building Process Management 52

Netflix Tech

AUGUST 1, 2022

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 stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Process Transportation Kafka Entertainment 109

Knowledge Hut

JANUARY 28, 2024

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. These change control process steps are planning, analyzing, approval, testing, implementing, and closing. The change request kickstarts the process of change control.

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Process Project Designing Pharmaceutical 98

Confluent

SEPTEMBER 11, 2023

See how you can leverage a data streaming platform to build event-driven microservices and do stream processing for faster, better customer onboarding.

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Cloud Building Process Data 69

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. By exploring the benefits of using Data Mesh for your event streaming architecture, this article will help you decide if it’s the right solution for your organization.

Architecture 52

Architecture Generalist Government Datasets 52

Confluent

APRIL 4, 2019

Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices that need to take action on a common stream of events all listen to that stream.

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Kafka Data Cleanse Retail Finance 108

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture. Being event first.

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Architecture Programming Kafka Database-centric 92

Scott Logic

APRIL 22, 2024

I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

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AWS Metadata Systems Kafka 52

Confluent

DECEMBER 1, 2021

Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […].

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Process IT Data 141

Cloudyard

JULY 11, 2023

Read Time: 4 Minute, 32 Second In this post, we will explore the utilization of EVENT tables to capture erroneous data. Based on business requirement, a streamlined process is developed to handle invalid records automatically without manual intervention. import logging : To Log into Event table. import json : To read JSON data.

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Python Utilities Datasets Data Pipeline 40

Team Data Science

MARCH 31, 2020

I assume uploading the CSV file as a data producer, so once you upload a file, it generates object created event and the Lambda function is invoked asynchronously. Stream Processing: Analyzing real-time data requires a different approach. Consumer: A consumer process the data records.

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Process AWS Python Architecture 130

Data Engineering Podcast

NOVEMBER 26, 2019

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse.

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Data Warehouse Building PostgreSQL Kafka 100

Knowledge Hut

JANUARY 30, 2024

ITIL Processes ITIL comprises several processes that make it extremely adaptable, scalable, and diverse. These processes consist of activities with specified inputs, causes, and outputs. Let's look at some of the ITIL Processes and ideas that underpin them. This process is completed through five successive activities.

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Process Certification Portfolio Accessible 52

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition. Apache Kafka and SMM.

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Process Kafka PostgreSQL MySQL 90

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. Push for eventual success of the request.

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Recruitment Data Process Process Kafka 88

Confluent

OCTOBER 4, 2024

Bad data causes serious issues and outages for downstream data users. It can be prevented with good data practices, but it must be properly fixed when it does occur.

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Data IT Process 72