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.
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
- #10: USAA