Confluent and Syncsort Webinar August 2016

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This document discusses Apache Kafka and the Confluent Platform for building streaming applications. It describes how Kafka allows producers to publish data to topics and consumers to subscribe to topics. The Confluent Platform adds features like Kafka Connect for integrating external systems, Kafka Streams for stream processing, and Control Center for monitoring streaming applications. It also lists several use cases for Kafka and companies that use it, and describes how the Confluent Platform integrates with Syncsort DMX.

Software

1Confidential
Introduction
To Real Time Streaming with Apache Kafka
and Syncsort DMX Connectivity

2Confidential
What does Kafka do?
Producers
Consumers
Kafka Connect
Kafka Connect
Topic
Your interfaces to the world
Connected to your systems in real time

3Confidential
What is a Stream Data Platform?
Kafka
Stream Data
Platform
Search
NoSQL
RDBMS Monitoring
Stream ProcessingReal-time Analytics Data Warehouse
Apps
Apps
Hadoop
Synchronous Req/Response
0 – 100s ms
Near Real Time
> 100s ms
Offline Batch
> 1 hour
Build streaming applications
Deploy streaming applications at scale
Monitor and manage streaming applications
Common Kafka Use Cases
• Log data
• Database changes
• Sensors and device data
• Monitoring streams
• Call data records
• Real-time Monitoring
• Asynchronous applications
• Fraud and security
• Bridge to Cloud

4Confidential
Companies Using Kafka Today
Financial Services
Entertainment & Media
Consumer Tech
Travel & Leisure
Enterprise Tech
Telecom Retail

5Confidential
Confluent Platform: It’s Kafka ++
Feature Benefit Apache Kafka Confluent Platform 3.0 Confluent Enterprise 3.0
Apache Kafka
High throughput, low latency, high availability, secure distributed message
system
Kafka Connect
Advanced framework for connecting external sources
and destinations into Kafka
Java Client Provides easy integration into Java applications
Kafka Streams
Simple library that enables streaming application development within the
Kafka framework
Additional Clients Supports non-Java clients; C, C++, Python, etc.
Rest Proxy
Provides universal access to Kafka from any network connected device via
HTTP
Schema Registry
Central registry for the format of Kafka data – guarantees all data is always
consumable
Pre-Built Connectors
HDFS, JDBC and other connectors fully Certified
and fully supported by Confluent
Confluent Control Center Includes Connector Management and Stream Monitoring
Support
Connection and Monitoring command center provides advanced
functionality and control
Community Community 24x7x365
Free Free Subscription
DMX

6Confidential
Confluent Platform with Syncsort Connectivity
Confluent Platform
Alerting
Monitoring
Real-time
Analytics
Custom
Application
Transformations
Real Time
Applications
Apache Kafka Core
Connectors
Control Center Clients & Developer Tools
Hadoop
ERP
CRM
Data Warehouse
RDBMS
Data
Integration
Connectors
Database
Changes
Mobile DevicesloTLogs Website Events
Confluent Platform Confluent Platform Enterprise External Product
Support, Services and Consulting
Kafka Streams
DMX
Source
DMX
Sink

7Confidential
Connector Hub: http://www.confluent.io/product/connectors
• Confluent-supported connectors (included in CP)
• Partner/Community-written connectors (just a sampling)
JDBC
Source -
Supported
Sink – In progress

8Confidential
Confluent Control Center
Configures Kafka Connect data pipelines
Monitors all pipelines from end-to-end

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Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy. Key takeaways: · How to build a data-driven culture within your organization · Tips to engage with key stakeholders in your business and examples from other businesses around the world · How to establish and maintain a business-first approach to data governance · A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business

Data Innovation Summit: Data Integrity Trends

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Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context. Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants. Key Topics: AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases. Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security. Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success. Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data. Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together. Less Bias. More Accurate. Relevant Outcomes.

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La fonction finance est au cœur du succès de l’entreprise, et doit aussi évoluer pour faire face aux enjeux d’aujourd’hui : aller plus vite, traiter plus d’informations et assurer une qualité des données sans faille. Nous vous proposons de découvrir ensemble comment répondre à ces défis, notamment les points suivants : Gérer les référentiels comptables et financiers, comptes comptables, clients, fournisseurs, centres de couts, centres de profits…Accélérer les clôtures et permettre de passer les écritures comptables nécessaires, de lancer les rapports adéquats et d’extraire les informations en temps réelOrganiser les taches en les affectant de manière ordonnancée à leurs responsables ou en les lançant automatiquement et les suivre de manière granulaire Notre webinaire sera l’occasion d’évoquer et d’illustrer cette palette de capacités disponibles pour des utilisateurs métier sans code ou avec peu de code et nous vous espérons nombreux.

Optimisez la fonction financière en automatisant vos processus SAP

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In dieser Präsentation diskutieren wir, welche Tools aus unserer Sicht dabei helfen, die Transformation zu SAP S/4HANA optimal zu gestalten. Aber wir blicken auch nach vorne! In unserem Beitrag fokussieren wir uns nicht nur auf kurzfristige Lösungen, sondern es geht auch um das Thema „Nachhaltigkeit“. Um Investitionen für die Zukunft. Dazu gehören Entwicklungen, die die SAP Welt nachhaltig verändern werden. Wir betrachten zukünftige Technologien, wie KI oder Machine Learning, die dazu beitragen, datenintensive SAP Prozesse zu optimieren, die Datenqualität zu verbessern, manuelle Prozesse zu reduzieren und Mitarbeiter zu entlasten. Werfen Sie mit uns einen Blick in die Zukunft und gestalten Sie die digitale Transformation in Ihrem Unternehmen mit.

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Möchten Sie die Effizienz und Produktivität Ihrer SAP-ERP-zentrierten Geschäftsprozesse verbessern? Damit sind Sie nicht allein, vor allem nicht in der heutigen, schnelllebigen Geschäftswelt. Eine Möglichkeit für Unternehmen, diese Effizienz zu erreichen, ist die Automatisierung komplexer, datenintensiver Prozesse mithilfe von APIs. An diesen Prozessen sind häufig SAP- und andere Systeme beteiligt. APIs ermöglichen den nahtlosen Datenaustausch zwischen diesen Systemen und tragen so zur Automatisierung verschiedener Geschäftsprozesse bei, wie z. B. Processing, Inventory Management oder Customer Account Management. In unserem Webinar erfahren Sie mehr über die Vorteile der Verwendung von APIs zur Automatisierung von SAP-zentrierten Geschäftsprozessen und was dies für Ihr Unternehmen bedeuten könnte. Wir zeigen Ihnen auch, wie APIs Datenerstellungs- und -verwaltungsprozesse automatisieren können, für die Daten aus verschiedenen Systemen erforderlich sind.

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Core transactional systems like IBM i represent an essential element of the global economy and run mission-critical business processes today. However, to remain competitive in today’s constantly evolving IT landscape, organizations must integrate cloud-based technologies, such as those from the AWS Cloud, into their architecture to unlock business value, especially in advanced analytics and AI applications. Organizations that successfully integrate and operate new cloud-based technologies alongside their core legacy systems pave the way to deliver solutions that drive operations efficiently while creating space for innovation and forward-thinking projects. This combination will serve as a competitive advantage as business and customer needs continue to grow. AWS Mainframe Modernization Data Replication with Precisely unleashes mainframe data for innovation with the AWS Cloud by enabling near real-time replication of heterogeneous data from mainframe data sources like Db2, IMS, and VSAM to a wide range of AWS Cloud database destinations. Join the session to see how Precisely and AWS together provide modernization capabilities to users looking to drive innovation from IBM Series I data through near real-time replication to the AWS Cloud, providing the foundation of new business channels. During this session, we will discuss: - How successful organizations manage both cloud and legacy systems - The combined AWS and Precisely offering - Real-world use cases of IBM i users leveraging AWS and Precisely

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In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey. Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience. Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system. Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.

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Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have. For more Tendenci AMS events, check out www.tendenci.com/events

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CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.

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AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

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Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload. Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.

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"Introduction to Windows 7" serves as the foundational chapter in our guide, setting the stage for understanding the key features and functionalities of this operating system. Windows 7, released by Microsoft in 2009, quickly became one of the most popular and widely used versions of Windows due to its user-friendly interface, stability, and performance improvements over its predecessor, Windows Vista. This chapter begins by providing an overview of the Windows 7 operating system, highlighting its key attributes and improvements compared to earlier versions of Windows. It introduces users to the visual enhancements such as Aero Glass, the revamped taskbar (also known as the Superbar), and the redesigned Start menu, which all contribute to a more intuitive and streamlined user experience. Furthermore, "Introduction to Windows 7" delves into the architecture and system requirements of the operating system, helping users understand what hardware specifications are necessary for optimal performance. It covers topics such as processor requirements, RAM, disk space, and graphics capabilities, ensuring that readers have a clear 3 understanding of the hardware prerequisites for running Windows 7 smoothly. Additionally, this chapter explores the various editions of Windows 7, including Home Premium, Professional, Ultimate, and Enterprise, outlining the differences between them and helping users choose the edition that best suits their needs and requirements. Moreover, "Introduction to Windows 7" provides an overview of the installation process, guiding users through the steps required to install or upgrade to Windows 7 on their computers. It covers topics such as preparing for installation, choosing the installation type (upgrade or custom), partitioning disks, and configuring initial settings. In summary, "Introduction to Windows 7" serves as a comprehensive primer for users who are new to the operating system or seeking to refresh their understanding. By familiarizing themselves with the core concepts and features of Windows 7, readers can lay a solid foundation for exploring more advanced topics covered in subsequent chapters of this guide.

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1. 1Confidential Introduction To Real Time Streaming with Apache Kafka and Syncsort DMX Connectivity

2. 2Confidential What does Kafka do? Producers Consumers Kafka Connect Kafka Connect Topic Your interfaces to the world Connected to your systems in real time

3. 3Confidential What is a Stream Data Platform? Kafka Stream Data Platform Search NoSQL RDBMS Monitoring Stream ProcessingReal-time Analytics Data Warehouse Apps Apps Hadoop Synchronous Req/Response 0 – 100s ms Near Real Time > 100s ms Offline Batch > 1 hour Build streaming applications Deploy streaming applications at scale Monitor and manage streaming applications Common Kafka Use Cases • Log data • Database changes • Sensors and device data • Monitoring streams • Call data records • Real-time Monitoring • Asynchronous applications • Fraud and security • Bridge to Cloud

4. 4Confidential Companies Using Kafka Today Financial Services Entertainment & Media Consumer Tech Travel & Leisure Enterprise Tech Telecom Retail

5. 5Confidential Confluent Platform: It’s Kafka ++ Feature Benefit Apache Kafka Confluent Platform 3.0 Confluent Enterprise 3.0 Apache Kafka High throughput, low latency, high availability, secure distributed message system Kafka Connect Advanced framework for connecting external sources and destinations into Kafka Java Client Provides easy integration into Java applications Kafka Streams Simple library that enables streaming application development within the Kafka framework Additional Clients Supports non-Java clients; C, C++, Python, etc. Rest Proxy Provides universal access to Kafka from any network connected device via HTTP Schema Registry Central registry for the format of Kafka data – guarantees all data is always consumable Pre-Built Connectors HDFS, JDBC and other connectors fully Certified and fully supported by Confluent Confluent Control Center Includes Connector Management and Stream Monitoring Support Connection and Monitoring command center provides advanced functionality and control Community Community 24x7x365 Free Free Subscription DMX

6. 6Confidential Confluent Platform with Syncsort Connectivity Confluent Platform Alerting Monitoring Real-time Analytics Custom Application Transformations Real Time Applications Apache Kafka Core Connectors Control Center Clients & Developer Tools Hadoop ERP CRM Data Warehouse RDBMS Data Integration Connectors Database Changes Mobile DevicesloTLogs Website Events Confluent Platform Confluent Platform Enterprise External Product Support, Services and Consulting Kafka Streams DMX Source DMX Sink

7. 7Confidential Connector Hub: http://www.confluent.io/product/connectors • Confluent-supported connectors (included in CP) • Partner/Community-written connectors (just a sampling) JDBC Source - Supported Sink – In progress

8. 8Confidential Confluent Control Center Configures Kafka Connect data pipelines Monitors all pipelines from end-to-end

Editor's Notes

Talking Points: 1. Companies are faced with very complex environments with difficult to manage parts. They want to organize large amounts of data into a well managed, unified stream data platform. 2. Customers use Confluent Platform for realtime, batch operational and analytical purposes. Take away the costly and labor intensive process of developing proprietary data replication practices and allow the Confluent Platform to make data available in realtime streams. 3. Our platform has Kafka at the core (same build as open source Kafka but with additional bug fixes applied) with components and tools that allow you successfully deploy to production, including: Kafka Schema management layer (ensures data compatibility across applications Java and Rest clients that integrate with our schema management layer Kafka Connect Kafka Streams Authentication and Authorization Confluent Control Center

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