Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code with Ela Demir

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In this session, you can find out how to build crazy fast stream data pipelines using Apache Flink® over Kafka. Apache Flink® is a distributed stream processing engine that can be used with Kafka's ability to handle high volume, high throughput, and low latency data streams. It is also a cluster framework that allows you to use various data sources and data formats by defining one of its various connectors. This lighting talk will inspire everyone who is interested in streaming data with Kafka and wants to process tens of millions of Kafka events per second with latencies of mere milliseconds in Flink. If you are interested, join this 10 minute session and discover what Apache Flink is and learn some best practices for how to get started.

Technology

C2 General
Apache Flink on Kafka:
Reliable Data Pipelines Everyone Can Code
Ela Demir

C2 General
Hello, I am ELA
elanur.demir@vodafone.com
Big Data Engineer @Vodafone

C2 General
2000 2010 2023
Stanford University
AT&T, Oracle, IBM
Brown University
Timeline
Apache Kafka
Twitter Storm
Kafka Streams
Apache Flink
Spark Streaming
Microservices
Cloud Apps

C2 General
BEFORE AFTER
No Fear,
Apache Flink is Here

C2 General
Alibaba : Blink with Power of Flink
Global Shopping Festival
State Size:
100 TB
Peak:
470
million
events per
second!
>500k
CPU
cores
>5k
nodes
Alibaba Tech Medium

C2 General
Netflix Keystone: Real-time Stream Processing Platform with Flink
3 trillion events/day
10,000 containers
petabytes worth of data per day
2,000 routing jobs
200,000 parallel operator
instances
Netflix Tech Blog

C2 General
Best Practices With Flink on Kafka

C2 General
Last But Not Least
-one of the fastest growing engine in the
market
-a leader tool in its marketplace
-a cluster framework that allows you to use
various data sources and data formats
-Both stream and batch pipelines
Confluent acquired Apache
Flink vendor at the
beginning of 2023

C2 General
elanur.demir@vodafone.com
Big Data Engineer @Vodafone
Kafka Summit London 2023

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Tiered Storage 101 | Kafla Summit London

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Navigating Private Network Connectivity Options for Kafka Clusters

Apache Flink: Building a Company-wide Self-service Streaming Data Platform

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Mastering Kafka Producer Configs: A Guide to Optimizing Performance

Data Contracts Management: Schema Registry and Beyond

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To Graph or Not to Graph Knowledge Graph Architectures and LLMs

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In an era where artificial intelligence (AI) is becoming increasingly integrated into our daily lives, the need for empathetic technology is paramount. This talk explores the role of motion design in enhancing AI interfaces to foster empathy and improve user experiences. Key Topics Covered: 1. Introduction to Empathetic AI - The importance of creating empathy in AI interfaces - Personal journey from character animation to AI and robotics design 2. The Role of Motion in User Interaction - Historical context of motion in design, from early Disney animations to modern interfaces - The blinking cursor: An example of effective motion use since 1960 3. Designing for Empathy - How motion can enhance user satisfaction and trust in AI systems - Examples from human-robot interaction and AI interfaces 4. Creating Human-like Interactions - Using motion to provide transparency and context in AI interactions - The importance of natural conversation flows and the ability to interrupt AI responses 5. Avoiding the Uncanny Valley - Recognizing and mitigating the uncanny valley in AI-generated content - Examples of effective and ineffective uses of motion in AI 6. Systemizing Motion Design - Strategies for integrating motion into AI systems at scale - Salesforce’s approach to creating and scaling a motion system for AI

Motion for AI: Creating Empathy in Technology

UXDXConf

How to differentiate Sales Cloud and CPQ on first glance might be tricky if you do not know where to look and what to look at. You will know :-) Managing the sales process within Salesforce is a common use case that can be managed with standart Sales Cloud. If you want to do entire quoting process you will find out Salesforce CPQ solution exists. What is then the difference if both can handle selling products? You will see comparison of 10 different features, which Sales Cloud and Salesforce CPQ handle differently. Simple question you will always remember if you should consider using Salesforce CPQ will be a cherry on top.

10 Differences between Sales Cloud and CPQ, Blanka Doktorová

CzechDreamin

This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

Strategic AI Integration in Engineering Teams

UXDXConf

You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.

Introduction to Open Source RAG and RAG Evaluation

Zilliz

What's New in Teams Calling, Meetings and Devices April 2024

Stephanie Beckett

Knowledge engineering: from people to machines and back

Elena Simperl

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

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PLAI - Acceleration Program for Generative A.I. Startups

Stefano

The standard Salesforce Approval process can be limiting in many ways, especially in complex scenarios. What if there was a way to implement very flexible approvals where one can use Apex code to make data updates in unrelated records, dynamically generate next steps details, and compute assignees on the fly? And still use UI-based configurations to implement concrete approval processes. In this session, we will share ideas behind such a solution and show a few lines of code to get you started.

Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder

CzechDreamin

In this session, we will showcase how to revolutionize automated testing for your software, automation, and QA teams with UiPath Test Suite. In part 1 of UiPath test automation using UiPath Test Suite – developer series, we will cover, Software testing overview What is software testing Why software testing is required Typical test types and levels Continuous testing and challenges Introduction to UiPath Test Suite UiPath Test Suite family of products Speaker: Atul Trikha, Chief Technologist & Solutions Architect, Peraton and UiPath MVP Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

UiPath Test Automation using UiPath Test Suite series, part 1

DianaGray10

This talk offers actionable insights at an executive level for enhancing productivity and refining your portfolio management approach to propel your organization to greater heights. Key Points Covered: 1. Experience Transformation: - The core challenge remains consistent across organizations: converting budget into user-centric designs. - Strategies for deploying design resources effectively in both startups and large enterprises. 2. Strategic Frameworks: - Introduction to the "Ziggurat of Impact" model, detailing layers from basic system interactions to comprehensive customer experiences. - Practical insights on creating frameworks that scale with organizational complexity. 3. Organizational Impact: - Real-world examples of navigating design in large settings, focusing on the synthesis of consumer products and customer experiences. - Emphasis on the importance of designing systems that directly influence customer interactions. 4. Design Execution: - Detailed walkthrough of organizational layers affecting design execution, from touchpoints and customer activities to shared capabilities. - How to ensure design influences both the micro and macro aspects of customer interactions. 5. Measurement and Adaptation: - Techniques for measuring the impact of design decisions and adapting strategies based on data-driven insights. - The critical role of continuous improvement and feedback in refining customer experiences.

Structuring Teams and Portfolios for Success

UXDXConf

We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging. Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.

AI revolution and Salesforce, Jiří Karpíšek

CzechDreamin

ScyllaDB has the potential to deliver impressive performance and scalability. The better you understand how it works, the more you can squeeze out of it. But before you squeeze, make sure you know what to monitor! Watch our experienced Postgres developer work through monitoring and performance strategies that help him understand what mistakes he’s made moving to NoSQL. And learn with him as our database performance expert offers friendly guidance on how to use monitoring and performance tuning to get his sample Rust application on the right track. This webinar focuses on using monitoring and performance tuning to discover and correct mistakes that commonly occur when developers move from SQL to NoSQL. For example: - Common issues getting up and running with the monitoring stack - Using the CQL optimizations dashboard - Common issues causing high latency in a node - Common issues causing replica imbalance - What a healthy system looks like in terms of memory - Key metrics to keep an eye on This isn’t “Death-by-Powerpoint.” We’ll walk through problems encountered while migrating a real application from Postgres to ScyllaDB – and try to fix them live as well.

Optimizing NoSQL Performance Through Observability

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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

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The presentation underscores the strategic advantage of treating design systems not just as technical assets but as vital business components that require thoughtful management, robust planning, and strategic alignment with organizational goals. Key Points Covered: - Understanding Design Systems as Business Entities: Conceptualizing design systems as internal business entities can streamline their integration and evolution within a company. - Adoption and Expansion: Elaborating on the importance of tactical adoption across organizational structures, enhancing product suites to cater to user needs and broadening scope to mobile and content authoring solutions. - Data-Driven Development: Utilizing data insights for component development ensures that resources are allocated to create valuable, widely used features. - Financial Modeling for Design Systems: Developing sustainable funding models is crucial for long-term support and success of design systems. - Promoting Internal Buy-In: Stressing on strategies for promoting design systems within the organization to increase engagement and investment from internal stakeholders.

A Business-Centric Approach to Design System Strategy

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I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.

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Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code with Ela Demir

1. C2 General Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code Ela Demir

2. C2 General Hello, I am ELA elanur.demir@vodafone.com Big Data Engineer @Vodafone

3. C2 General 2000 2010 2023 Stanford University AT&T, Oracle, IBM Brown University Timeline Apache Kafka Twitter Storm Kafka Streams Apache Flink Spark Streaming Microservices Cloud Apps

4. C2 General BEFORE AFTER

5. C2 General BEFORE AFTER No Fear, Apache Flink is Here

6. C2 General Alibaba : Blink with Power of Flink Global Shopping Festival State Size: 100 TB Peak: 470 million events per second! >500k CPU cores >5k nodes Alibaba Tech Medium

7. C2 General Netflix Keystone: Real-time Stream Processing Platform with Flink 3 trillion events/day 10,000 containers petabytes worth of data per day 2,000 routing jobs 200,000 parallel operator instances Netflix Tech Blog

8. C2 General Apache Flink Overview

9. C2 General Connectors

10. C2 General Best Practices With Flink on Kafka

11. C2 General Last But Not Least -one of the fastest growing engine in the market -a leader tool in its marketplace -a cluster framework that allows you to use various data sources and data formats -Both stream and batch pipelines Confluent acquired Apache Flink vendor at the beginning of 2023

12. C2 General elanur.demir@vodafone.com Big Data Engineer @Vodafone Kafka Summit London 2023

Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code with Ela Demir

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Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code with Ela Demir