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Retail Issue 3.0 - December 2024 Follow the Stream Your Dedicated Community Content Scroll 

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The Eventing Issue: Events in Data-Streaming Innovation

Welcome to the third issue of Follow the Stream! This edition is dedicated to Events in Data Streaming. In software, any significant action can be recorded as an event. Also known as event stream processing (ESP), event streaming patterns can process a continuous flow of data as soon as an event or change happens. This scroll explores how event stream processing works, its major benefits, and how to get started building event-driven architectures.
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Events Crash Course

Let's explore the basics behind events in Apache Kafka®.

Nihil recusandae est voluptate explicabo.

First looking at terminology, review concepts like event design, event streaming, and event-driven design, to get an understanding of the role that events play in each of these approaches to using Apache Kafka®.
Moving onto developing event-first thinking, consider the benefits of event-based systems, and try to understand how event-driven programming changes everything.

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Industry in Motion: General Updates

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Tis’ the Season of Streaming 2024!

Tis’ the Season of Streaming, which means it's time to celebrate and innovate! Starting on December 9th, Confluent’s five-day learning event is an expert introduction to building with real-time and event-driven data flows. With 15 speakers and sessions on Kafka, Flink, data mesh, and GenAI, the event offers opportunities to enhance diverse skills, win attendance-based prizes, and support tech education with a $10 donation per registration.
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Connect with Confluent: Celebrating One Year and 50+ Integrations

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. To celebrate this first anniversary, Confluent is excited to introduce the newest partners joining in Q3 2024 and reflect on the major milestones achieved through CwC integrations throughout the year.

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Confluent’s WarpStream Deal Reflects Market Shift in Data Streaming

Confluent's acquisition of WarpStream underscores a significant shift in the data streaming market, as companies increasingly favor "bring your own cloud" (BYOC) solutions to manage cloud infrastructure costs. This approach reflects the industry's broader push toward diversified and scalable data streaming strategies, to meet the evolving demands of high-volume, cost-sensitive environments.
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Empowering the First Generation of Real-Time AI Startups

As real-time AI continues to transform industries, Confluent is uniquely positioned to help startups harness the potential of data streaming to drive intelligent, automated decisions at scale. The AI Accelerator Program from Confluent for Startups is designed to support the next wave of innovation in artificial intelligence. This highly selective, 10-week virtual program seeks to collaborate with 10 to 15 early-stage AI startups that are building real-time applications utilizing the power of data streaming.

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Executive's Brief: Data Strategy & Leadership

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Real-Time or Real Value? Assessing the Benefits of Event Streaming

Event streaming, particularly in the service of event-driven architectures, is not just about reducing latency, but also about enabling new ways of structuring software and teams. It allows companies to optimize data for universal consumption rather than specific query patterns, which supports innovation, improves responsiveness to business needs, and transforms how teams work together.
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Conquer Data Mess With Universal Data Products

In today’s fast-paced business environment, real-time data insights are crucial, but traditional batch processing often results in complex, tangled integrations. To resolve this, companies are shifting to a universal data products mindset, which means treating data as a reusable, discoverable asset. A data streaming platform enables businesses to build reliable data products that support real-time experiences efficiently and cost effectively.
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The Data Streaming Organization: Driving Value & Competitive Advantage From Data Streaming

A framework that allows organizations to meet increasingly complex customer demands can realize value from governed, shared, accessible, and real-time data. Organizations must extract maximum value from their generated data, which is achieved by providing a unified technology platform, established ways of working, and a guiding data streaming strategy and vision.
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Data Streaming in Real Life: Retail - Customer Loyalty Platform

To enhance customer loyalty and retention, Albertsons integrates data across their entire supply chain using a data streaming platform. Real-time insights into inventory, CRM, and partner data provide seamless end-to-end data visibility enabling Albertsons to make personalized offers and strategic inventory decisions, ultimately enriching the customer experience and driving loyalty.
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Quick Thinking Report: Striking the Balance Between Instinct and Insight

Today’s business leaders are under growing pressure to make snap decisions as data and technology accelerate business operations. Confluent surveyed 200 UK executives, and found that 43% of C-level leaders believe difficulties with accessing real-time data is hindering decision-making, while 58% want to "completely overhaul" their data approach in 2025.
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Data Streaming for Customer Experience

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How Event Streaming Transformed Efficiency at Booking.com

Recent innovation at Booking.com has been focused on enhancing customer experience through a “connected trip” feature. This feature, powered by data streaming, allows customers to seamlessly book flights, accommodations, car rentals, and activities—all in one visit. With better access to well-governed data, the company aims to further personalize services, ensuring a more integrated and enjoyable travel planning experience for users.
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Black Friday 2.0: Why Retailers Are Betting on Data Over Discounts

Black Friday has evolved from price-driven sales to a more sophisticated event prioritizing hyper-personalized, data-driven strategies. Retailers like Amazon, ASOS, and Walmart leverage AI and real-time data for tailored promotions and product recommendations, enhancing the customer experience across online and in-store channels.
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Meesho Democratizes E-commerce With Real-Time Data Streaming From Confluent

Meesho, India's leading e-commerce marketplace, has transitioned into a thriving B2C ecosystem, serving over 140 million active users. To manage significant growth and site traffic, Meesho adopted Confluent Cloud, alleviating the burden of scaling infrastructure. This move enhanced the platform’s ability to handle peak traffic effortlessly and improved personalization through real-time data access, ultimately supporting Meesho’s mission to make e-commerce accessible across India.
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Architect's Blueprint: Data Systems Design

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Event-Driven Architecture (EDA) vs. Request/Response (RR)

Adam Bellemare compares and contrasts Event-Driven and Request-Driven Architectures to give a better idea of the tradeoffs and benefits involved with each. Event-Driven Architectures (EDA) provide a powerful way to decouple services in both time and space, letting businesses subscribe and react to the events that matter most.
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Unleashing the Potential of Demand Forecasting With Data Streaming

Demand forecasting is crucial for businesses, enabling them to leverage data for strategic growth and informed decision-making. Retailers can harness data to identify potential demand spikes and tailor marketing campaigns around major events. The case study of Acme Inc. illustrates how retailers aggregate and analyze diverse data sources, leading to a more accurate understanding of consumer behavior and market trends.
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How To Migrate From Kafka To Confluent Cloud With Limited Downtime

Migrating from open-source Apache Kafka to Confluent can feel challenging, but success stories from companies like BigCommerce and Cerved highlight it as an effective and streamlined alternative to other deployment options. The migration process must be tailored to each environment and follows three simple phases: planning, setup, and migration/validation.
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Streaming UEBA Marketing Analytics

User and Entity Behavior Analytics (UEBA) applications empower data scientists, marketing managers, and IT decision-makers by facilitating targeted marketing campaigns fueled by real-time user behavior insights. This data-driven approach aims to  enhance real-time reporting through effective labelling strategies and streamlined development processes for increased efficiency and agility.
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Leveraging Data Streaming To Reinvent BMW Group’s Omnichannel Sales Journey

Companies are increasingly embracing direct-to-consumer (D2C) strategies to enhance customer satisfaction and strengthen relationships. BMW, for instance, has announced plans to launch its D2C operations imminently. To support this shift, the BMW Group prioritized 360-degree data transparency across the customer journey, requiring real-time data access organization wide.
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Developer's Desk: Building Applications

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Everything You’ve Ever Wanted To Ask About Event-Driven Architectures

Anna McDonald (the Duchess) and Matthias J. Sax (the Doctor), from Confluent, answer user-submitted questions on all things events and eventing, including Apache Kafka, its ecosystem, and beyond! The discussion highlights why events are a mindset, why the Duchess thinks event immutability is relaxing, and why event streams sometimes need windows.
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Shift Left: Preventing and Fixing Bad Data in Event Streams, Part 1

At a high level, bad data refers to any data that doesn’t conform to expected formats or standards. It can creep into data sets in a variety of ways, and cause serious issues for all downstream data users. In Apache Kafka®, event streams are built on an immutable log, meaning that once data is written, it cannot be edited or deleted. While this immutability is a core feature, it also introduces unique challenges, and requires extra caution when producing to, and managing data in Kafka.

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Building an Event-Driven Architecture? Here Are Five Ways to Get It Done Right

Despite the widespread adoption of Apache Kafka, its integration with event-driven systems continues to present challenges for developers and architects. Some key factors to consider are the importance of schema management, when to use stream processing over bespoke consumers, and how to ensure systems scale elastically for the future.
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Designing Event-Driven Microservices

The journey of transitioning from a monolithic to a microservice-based architecture starts with an exploration of asynchronous events, publish-subscribe frameworks, and patterns such as Strangler Fig and Branch by Abstraction. Using a real-world banking case study, Confluent’s Staff Software Practice Lead Wade Waldron highlights essentials for building systems that are scalable, resilient, and adaptable.
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Correlating Customer Behavior Across In-Store and Online Channels

Today's retail customers browse and purchase products across many channels, and they expect a seamless shopping experience throughout. Data streaming allows correlating customers' in-store purchase activity with their online behavior, which can then feed downstream omnichannel analytics for improved customer experience.
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Learn About Data Streaming With Apache Kafka® and Apache Flink®

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Data Streaming for Innovation & Research

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How L’Oréal Powers High-End, Time-Sensitive Operations With Confluent

Embracing the latest technology has always been a part of L’Oréal’s DNA. Today L'Oréal is leveraging data streaming to drive its digital transformation, integrating real-time data flows across its operations, enhancing everything from third-party logistics to internal processes like employee onboarding. This strategic focus on modernizing its data architecture not only supports current business and customer needs, but also sets the stage for innovative use cases in the future.
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How Event-Driven Architecture Can Help Retailers Reset Global Supply Chain Reporting

Retail supply chains are undergoing a transformative reset with event-driven architecture, addressing the significant challenge of reducing the up-to-25% of global greenhouse gas emissions attributed to retail operations. With real-time data integration optimizing delivery routes, reducing food waste, and improving energy efficiency, companies are rethinking their data strategies to ensure proactive responses to disruptions, improved ESG reporting, as well as transparency and accountability in growing sustainability efforts.
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Next-Gen AI Requires a Next-Gen Data Strategy

“According to IDC, French retailers see ROI from AI in just 14 months, generating an average profit of €3.45 for every €1 spent.” Although leaders like Carrefour and La Redoute have already started integrating GenAI solutions for tailored recommendations and intelligent chatbots, siloed and unreliable data in retail still hinders broader progress. To unlock AI’s full potential, retailers are shifting their focus to real-time, integrated data strategies, leading to accurate and accessible insights.
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Introduction to Designing Events and Event Streams

What do distributed asynchronous computing, event-driven microservices, data in motion, and the modern data flow all have in common? They start with the event: a single piece of data that describes...

Journey to Event Driven: Why Event-First Programming Changes Everything

The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to create seamless appli...

Journey to Event Driven: Why Event-First Programming Changes Everything

The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to create seamless appli...

Connect with Confluent First Anniversary and Q3 ’24 Entrants

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfoli...

Connect with Confluent: Celebrating One Year and 50+ Integrations

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfoli...

What are Events in Apache Kafka®?

The term “event” shows up in a lot of different Apache Kafka® arenas. There’s “event-driven design,” “event sourcing,” “designing events,” and “event streaming.” What is an event, and what is the d...

Conquer Your Data Mess With Universal Data Products

Leaders across organizations, industries, and countries intuitively believe that data is a valuable asset. However, leveraging its value has never been harder – because the data architecture is a ...

Conquer Your Data Mess With Universal Data Products

Leaders across organizations, industries, and countries intuitively believe that data is a valuable asset. However, leveraging its value has never been harder – because the data architecture is a ...

Real-Time or Real Value? Assessing the Benefits of Event Streaming

Event streaming may have a lot of hype, but one can’t compellingly argue that it hasn’t changed the world. Activities most of us do daily, like ordering packages from Amazon, using a credit card, o...

Real-Time or Real Value? Assessing the Benefits of Event Streaming

Event streaming may have a lot of hype, but one can’t compellingly argue that it hasn’t changed the world. Activities most of us do daily, like ordering packages from Amazon, using a credit card, o...

Meesho Democratizes E-commerce with Real-Time Data Streaming from Confluent

After starting off as a B2B-focused reselling platform, Meesho has evolved to encompass a single ecosystem that connects millions of sellers, retailers, suppliers, and customers. As part of its mi...

Meesho Democratizes E-commerce With Real-Time Data Streaming From Confluent

Meesho, India's leading e-commerce marketplace, has transitioned into a thriving B2C ecosystem, serving over 140 million active users. To manage significant growth and site traffic, Meesho adopted ...

Benefits of Event-Driven Architecture and Data Mesh

This post dives into how modern approaches can be used to manage data platforms and how to take advantage of them. Specifically, we'll show you how to formally define streaming data products using ...

Quick Thinking - Striking the Balance Between Instinct and Insight

Today’s business leaders are under growing pressure to make snap decisions as data and technology accelerate business operations. According to Confluent’s research of 200 UK executives, 43% of C-le...

Empowering the First Generation of Real-Time AI Startups

Confluent for Startups is dedicated to empowering early-stage startups with the tools, credits, technical help, and community support needed to succeed in the fast-paced world of data streaming and...

Unlocking Data Value in the Age of AI and Data Streaming

At Current 2024, Seema Acharya from Mercedes-Benz North America demonstrated how data streaming enables real-time personalization in automotive experiences, significantly improving customer interac...

Confluent’s WarpStream Deal Reflects Market Shift in Data Streaming

Confluent's acquisition of WarpStream underscores a significant shift in the data streaming market, as companies increasingly favour "bring your own cloud" (BYOC) solutions to manage cloud infrastr...

Building an Event-Driven Architecture? Here Are Five Ways to Get It Done Right

- How to tell if event-driven architecture is the right choice for you…or not - Why databases are still important in an event-driven system - Why you should avoid writing bespoke consumers when str...

Shift Left: Preventing and Fixing Bad Data in Event Streams

At a high level, bad data refers to any data that doesn’t conform to expected formats or standards. It can creep into data sets in a variety of ways, and cause serious issues for all downstream dat...

How Event Streaming Transformed Efficiency at Booking.com

Recent innovation at Booking.com has been focused on enhancing customer experience through a “connected trip” feature. This feature, powered by data streaming, allows customers to seamlessly book ...

Unleashing the Potential of Demand Forecasting With Data Streaming

Demand forecasting is crucial for businesses, enabling them to leverage data for strategic growth and informed decision-making. Retailers can harness data to identify potential demand spikes and ta...

Streaming UEBA Marketing Analytics

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Leveraging Data Streaming To Reinvent BMW Group’s Omnichannel Sales Journey

Companies are increasingly embracing direct-to-consumer (D2C) strategies to enhance customer satisfaction and strengthen relationships. BMW, for instance, has announced plans to launch its D2C oper...

Next-Gen AI Requires a Next-Gen Data Strategy

Unlocking Use Cases From Logistics to HR

Embracing the latest technology has always been a part of L’Oréal’s DNA. Today L'Oréal is leveraging data streaming to drive its digital transformation, integrating real-time data flows across its ...

Correlating Customer Behavior Across In-Store and Online Channels

Today's retail customers browse and purchase products across many channels, and they expect a seamless shopping experience throughout. Data streaming allows correlating customers' in-store purchase...

How Businesses Use Data Streaming

As a real-time data streaming platform specialist, Confluent is known for its enterprise-grade platform based on open source Apache Kafka. With Jay Kreps Confluent is built on a promise to “eradica...

Introduction to Designing Event-Driven Microservices

The journey of transitioning from a monolithic to a microservice-based architecture starts with an exploration of asynchronous events, publish-subscribe frameworks, and patterns such as Strangler F...

Event Streaming in 3 Minutes

Danica Fine, Staff Developer Advocate at Confluent, explains the basics—from an event to an event stream to event stream processing, and how it works. Event streaming is a sequence of continuous da...

Event Sourcing 101: Thinking in Events

Software systems model real-world systems. Similar to the way in which certain physical systems are more accurately measured with polar coordinates than rectangular coordinates (for example, the mo...

Thinking in Events

Software systems model real-world systems. Similar to the way in which certain physical systems are more accurately measured with polar coordinates than rectangular coordinates, some software probl...

Data Streaming in Real Life: Retail—Customer Loyalty Platform

To enhance customer loyalty and retention, Albertsons integrates data across their entire supply chain using a data streaming platform. Real-time insights into inventory, CRM, and partner data prov...

Data Streaming in Real Life: Retail - Customer Loyalty Platform

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Everything you’ve wanted to ask about Event-Driven Architectures | The Duchess & The Doctor Show

For their inaugural episode, Anna McDonald (the Duchess) and Matthias J. Sax (the Doctor) from Confluent, along with their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll lear...

Everything you’ve wanted to ask about Event-Driven Architectures | The Duchess & The Doctor Show

For their inaugural episode, Anna McDonald (the Duchess) and Matthias J. Sax (the Doctor) from Confluent, along with their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll lear...

The Future is Data-Driven and AI-Powered

"By 2025, the AI landscape will be more integral to everyday life than ever before, with data generation reaching levels that challenge our current understanding of digital ecosystems. For busines...

Black Friday 2.0: Why Retailers Are Betting on Data Over Discounts

Black Friday has evolved from price-driven sales to a more sophisticated event prioritizing hyper-personalized, data-driven strategies. Retailers like Amazon, ASOS, and Walmart leverage AI and real...

For a typical Fortune 1000 company, just a 10% increase in data accessibility will result in more than $65 million additional net income. — Forrester

For a typical Fortune 1000 company, just a 10% increase in data accessibility will result in more than $65 million additional net income. — Forrester

Event-Driven Architecture (EDA) vs. Request/Response (RR)

Adam Bellemare, Principal Technologist at Confluent, compares and contrasts Event-Driven and Request-Driven Architectures to give a better idea of the tradeoffs and benefits involved with each. Eve...

'Tis the Season of Streaming!

Day 1: Intro to Apache Kafka® on Confluent Cloud Day 2: Build GenAI apps and real-time knowledge bases for RAG apps Day 3: Improve data quality with Apache Flink® stream processing Day 4: Implement...

How Event-Driven Architecture Can Help Retailers Reset Their Global Supply Chain Reporting

Retail supply chains are undergoing a transformative reset with event-driven architecture, addressing the significant challenge of reducing the up-to-25% of global greenhouse gas emissions attribut...

What is a Data Streaming Platform?

A Data Streaming Platform (DSP) is composed of six major inter-related components, covered in detail in this video. Each component has evolved over time to servce specific needs in the data streami...

Introduction to Event Terms and Roles

Event design, event streaming, event-driven design, and more; what role does the event play in each of these approaches to using Apache Kafka®? The Kafka landscape can get confusing with all this t...

How To Migrate From Kafka To Confluent Cloud With Limited Downtime

Migrating from open-source Apache Kafka to Confluent can feel challenging, but success stories from companies like BigCommerce and Cerved highlight it as an effective and streamlined alternative to...