How do spark_kafka_and_syncsort_dmx-h
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Syncsort DMX-h allows users to design both streaming and batch jobs using a single tool. It can access legacy mainframe and data warehouse sources, integrate both legacy batch and modern streaming data sources, and cut development time in half with an easy graphical interface that does not require writing code. DMX-h also integrates with Apache Kafka, MapR Streams, Apache Nifi, and can execute jobs on Spark.
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Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can me make sure that all these event are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amount of messages between a source and a target.
This session will start with an introduction into Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table. Additionally the Kafka ecosystem will be covered as well as the integration of Kafka in the Oracle Stack, with products such as Golden Gate, Service Bus and Oracle Stream Analytics all being able to act as a Kafka consumer or producer.
Kafka Streams for Java enthusiasts
Kafka, Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming data platform (Kafka Core + Kafka Connect + Kafka Streams) for building streaming data pipelines and streaming data applications.
This talk, that I gave at the Chicago Java Users Group (CJUG) on June 8th 2017, is mainly focusing on Kafka Streams, a lightweight open source Java library for building stream processing applications on top of Kafka using Kafka topics as input/output.
You will learn more about the following:
1. Apache Kafka: a Streaming Data Platform
2. Overview of Kafka Streams: Before Kafka Streams? What is Kafka Streams? Why Kafka Streams? What are Kafka Streams key concepts? Kafka Streams APIs and code examples?
3. Writing, deploying and running your first Kafka Streams application
4. Code and Demo of an end-to-end Kafka-based Streaming Data Application
5. Where to go from here?
Trivadis TechEvent 2016 Apache Kafka - Scalable Massage Processing and more! ...
In this presentation Guido Schmutz talks about Apache Kafka, Kafka Core, Kafka Connect, Kafka Streams, Kafka and "Big Data"/"Fast Data Ecosystems, Confluent Data Platform and Kafka in Architecture.
What is Apache Kafka and What is an Event Streaming Platform?
Speaker: Gabriel Schenker, Lead Curriculum Developer, Confluent
Streaming platforms have emerged as a popular, new trend, but what exactly is a streaming platform? Part messaging system, part Hadoop made fast, part fast ETL and scalable data integration. With Apache Kafka® at the core, event streaming platforms offer an entirely new perspective on managing the flow of data. This talk will explain what an event streaming platform such as Apache Kafka is and some of the use cases and design patterns around its use—including several examples of where it is solving real business problems. New developments in this area such as KSQL will also be discussed.
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and Kafka
Apache NiFi, Apache Flink, Apache Kafka
Timothy Spann
Principal Developer Advocate
Cloudera
Data in Motion
https://budapestdata.hu/2023/en/speakers/timothy-spann/
Timothy Spann
Principal Developer Advocate
Cloudera (US)
LinkedIn · GitHub · datainmotion.dev
June 8 · Online · English talk
Building Modern Data Streaming Apps with NiFi, Flink and Kafka
In my session, I will show you some best practices I have discovered over the last 7 years in building data streaming applications including IoT, CDC, Logs, and more.
In my modern approach, we utilize several open-source frameworks to maximize the best features of all. We often start with Apache NiFi as the orchestrator of streams flowing into Apache Kafka. From there we build streaming ETL with Apache Flink SQL. We will stream data into Apache Iceberg.
We use the best streaming tools for the current applications with FLaNK. flankstack.dev
BIO
Tim Spann is a Principal Developer Advocate in Data In Motion for Cloudera. He works with Apache NiFi, Apache Pulsar, Apache Kafka, Apache Flink, Flink SQL, Apache Pinot, Trino, Apache Iceberg, DeltaLake, Apache Spark, Big Data, IoT, Cloud, AI/DL, machine learning, and deep learning. Tim has over ten years of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming.
Previously, he was a Developer Advocate at StreamNative, Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton & NYC on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science.
Kinesis and Spark Streaming - Advanced AWS Meetup - August 2014
Kinesis and Spark Streaming - Advanced AWS Meetup - August 2014
Building streaming data applications using Kafka*[Connect + Core + Streams] b...
Abstract:- Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming data platform for building real-time streaming data pipelines and streaming data applications without the need for other tools/clusters for data ingestion, storage and stream processing. In this talk you will learn more about: A quick introduction to Kafka Core, Kafka Connect and Kafka Streams through code examples, key concepts and key features. A reference architecture for building such Kafka-based streaming data applications. A demo of an end-to-end Kafka-based streaming data application.
Big Data Customer Education Webcast: The Latest Advancements in Syncsort DMX ...
Don’t wait! Get the ultimate in data agility with the software you own today!
While other data integration companies hold out the possibility of simplifying cross-platform data integration down the road… our customers have enjoyed these capabilities for close to two years! And our industry-leading Big Data integration software keeps getting better.
Join our upcoming customer education webcast to learn how the latest advancements in Syncsort DMX and DMX-h software empower your organization to get the maximum business value from your data – fast – on premise, or in the cloud.
In this webcast, we will cover important new features that help you speed development, adapt to the latest data management requirements, and leverage rapid innovation in Big Data technology, including:
• Unparalleled simplicity and flexibility to adapt to changing workloads and frameworks with our new Integrated Workflow capability and support for Spark 2.0.
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Building Streaming Data Applications Using Apache Kafka
Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming data platform for building real-time streaming data pipelines and streaming data applications without the need for other tools/clusters for data ingestion, storage and stream processing.
In this talk you will learn more about:
1. A quick introduction to Kafka Core, Kafka Connect and Kafka Streams: What is and why?
2. Code and step-by-step instructions to build an end-to-end streaming data application using Apache Kafka
GSJUG: Mastering Data Streaming Pipelines 09May2023
GSJUG: Mastering Data Streaming Pipelines 09May2023
https://www.meetup.com/futureofdata-princeton/events/293233881/
This is a repost from the Garden State Java Users Group Event.
Join me at
https://www.meetup.com/garden-state-java-user-group/events/293229660/
See: https://www.eventbrite.com/e/mastering-data-streaming-pipelines-tickets-627677218457?_ga=2.253257801.1787151623.1682868226-741104479.1678110925
Please note that registration via EventBrite is required to attend either in-person or online.
We are happy to announce that Tim Spann will be our special guest for the May 9, 2023 meeting!
Abstract:
In this session, Tim will show you some best practices that he has discovered over the last seven years in building data streaming applications including IoT, CDC, Logs, and more.
In his modern approach, we utilize several Apache frameworks to maximize the best features of all. We often start with Apache NiFi as the orchestrator of streams flowing into Apache Kafka. From there we build streaming ETL with Apache Flink, enhance events with NiFi enrichment. We build continuous queries against our topics with Flink SQL.
We will show where Java fits in as sources, enrichments, NiFi processors and sinks.
We hope to see you on May 9!
Speaker
Timothy Spann
Tim Spann is a Principal Developer Advocate in Data In Motion for Cloudera. He works with Apache NiFi, Apache Pulsar, Apache Kafka, Apache Flink, Flink SQL, Apache Pinot, Trino, Apache Iceberg, DeltaLake, Apache Spark, Big Data, IoT, Cloud, AI/DL, machine learning, and deep learning. Tim has over ten years of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming.
Previously, he was a Developer Advocate at StreamNative, Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton & NYC on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science.
In this session, Tim will show you some best practices that he has discovered over the last seven years in building data streaming applications, including IoT, CDC, Logs, and more.
In his modern approach, we utilize several Apache frameworks to maximize the best features of all. We often start with Apache NiFi as the orchestrator of streams flowing into Apache Kafka. From there, we build streaming ETL with Apache Flink, enhance events with NiFi enrichment. We build continuous queries against our topics with Flink SQL.
We will show where Java fits in as sources, enrichments, NiFi processors, and sinks.
https://www.eventbrite.com/e/mastering-data-streaming-pipelines-tickets-627677218457?_ga=2.253257801.178
Trend Micro Big Data Platform and Apache Bigtop
* Quick Intro to Bigtop
* Trend Micro Big Data Platform
* Mission-specific Platform
* Big Data Landscape (3p)
* Bigtop 1.1 Release (6p)
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Presentation @ Oracle Code Berlin.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can we make sure that all these events are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amounts of messages between a source and a target. This session will start with an introduction of Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table.
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Watch this on-demand customer education webcast to learn the latest product features introduced this year, including:
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APIs for Browser Automation (MoT Meetup 2024)
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Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
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.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
May Marketo Masterclass, London MUG May 22 2024.pdf
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Enterprise Software Development with No Code Solutions.pptx
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Top 7 Unique WhatsApp API Benefits | Saudi Arabia
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
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Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos
https://www.amb-review.com/tubetrivia-ai
Exclusive Features:
AI-Powered Questions,
Wide Range of Categories,
Adaptive Difficulty,
User-Friendly Interface,
Multiplayer Mode,
Regular Updates.
#TubeTriviaAI
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Providing Globus Services to Users of JASMIN for Environmental Data Analysis
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
First Steps with Globus Compute Multi-User Endpoints
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Enhancing Research Orchestration Capabilities at ORNL.pdf
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
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Vitthal Shirke Microservices Resume Montevideo
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Spring Transaction, Spring MVC,
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Developing Distributed High-performance Computing Capabilities of an Open Sci...
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
A Sighting of filterA in Typelevel Rite of Passage
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Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
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Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
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Enterprise Software Development with No Code Solutions.pptx
Essentials of Automations: The Art of Triggers and Actions in FME
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Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
How Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
How do spark_kafka_and_syncsort_dmx-h
- 1. Apache Kafka and Syncsort DMX-h Paige Roberts, Product Manager
- 2. How Do Kafka and Syncsort DMX-h work together? 2Syncsort Confidential and Proprietary - do not copy or distribute A single tool for designing both streaming and batch jobs
- 3. How Do Kafka and Syncsort DMX-h work together? 3Syncsort Confidential and Proprietary - do not copy or distribute A single tool for designing both streaming and batch jobs • Access legacy mainframe and data warehouse sources
- 4. How Do Kafka and Syncsort DMX-h work together? 4Syncsort Confidential and Proprietary - do not copy or distribute A single tool for designing both streaming and batch jobs • Access legacy mainframe and data warehouse sources • Integrate legacy batch and modern streaming data sources
- 5. How Do Kafka and Syncsort DMX-h work together? 5Syncsort Confidential and Proprietary - do not copy or distribute A single tool for designing both streaming and batch jobs • Access legacy mainframe and data warehouse sources • Integrate legacy batch and modern streaming data sources • Cut development time in half with easy graphical interface – no need to write Scala, C or Java code
- 6. How Do Kafka and Syncsort DMX-h work together? 6Syncsort Confidential and Proprietary - do not copy or distribute A single tool for designing both streaming and batch jobs • Access legacy mainframe and data warehouse sources • Integrate legacy batch and modern streaming data sources • Cut development time in half with easy graphical interface – no need to write Scala, C or Java code • Integrate with Kafka, MapR Streams, Apache Nifi
- 7. How Do Kafka and Syncsort DMX-h work together? 7Syncsort Confidential and Proprietary - do not copy or distribute • Access legacy mainframe and data warehouse sources • Integrate legacy batch and modern streaming data sources • Cut development time in half with easy graphical interface – no need to write Scala, C or Java code • Integrate with Kafka, MapR Streams, Apache Nifi • Execute on Spark A single tool for designing both streaming and batch jobs
- 8. Visit Us to Learn More www.confluent.io www.syncsort.com/dmxh 8Syncsort Confidential and Proprietary - do not copy or distribute
- 9. Syncsort Confidential and Proprietary - do not copy or distribute 9 THANK YOU
Editor's Notes
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