Sina Sojoodi's guest appearances

Sina Sojoodi

Pivotal Podcasts

Tanzu Talk

Streaming Audio: Apache Kafka® & Real-Time Data

James Urquhart

Josh Long

Rohit Kelapure

Cornelia Davis

Cora Iberkleid

Paula Kennedy

Len Hardy

Gary P. White

Ben Laplanche

Matt Walburn

Hannah Foxwell

Joanna Beltowska

Kenny Bastani

Bryon Kroger

Usha Ramachandran

OwlTail

Inventory management systems are crucial for reducing real-time inventory data drift, improving customer experience, and minimizing out-of-stock events. Apache Kafka®’s real-time data technology provides seamless inventory tracking at scale, saving billions of dollars in the supply chain, making modernized data architectures more important to retailers now more than ever.  In this episode, we’ll discuss how Apache Kafka allows the implementation of stateful event streaming architectures on a cloud-native platform for application and architecture modernization. Sina Sojoodi (Global CTO, Data and Architecture, VMware) and Rohit Kelapure (Principal Advisor, VMware) will discuss data modeling, as well as the architecture design needed to achieve data consistency and correctness while handling the scale and resilience needs of a major retailer in near real time. The implemented solution utilizes Spring Boot, Kafka Streams, and Apache Cassandra, and they explain the process of using several services to write to Cassandra instead of trying to use Kafka as a distributed log for enforcing consistency.  EPISODE LINKSHow to Run Kafka Streams on Kubernetes ft. Viktor GamovMachine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai WaehnerUnderstand What’s Flying Above You with Kafka Streams ft. Neil BuesingJoin the Confluent Community SlackLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperUse 60PDCAST to get an additional $60 of free Confluent Cloud usage*

Inventory management systems are crucial for reducing real-time inventory data drift, improving customer experience, and minimizing out-of-stock events. Apache Kafka®’s real-time data technology provides seamless inventory tracking at scale, saving billions of dollars in the supply chain, making modernized data architectures more important to retailers now more than ever.  In this episode, we’ll discuss how Apache Kafka allows the implementation of stateful event streaming architectures on a cloud-native platform for application and architecture modernization. Sina Sojoodi (Global CTO, Data and Architecture, VMware) and Rohit Kelapure (Principal Advisor, VMware) will discuss data modeling, as well as the architecture design needed to achieve data consistency and correctness while handling the scale and resilience needs of a major retailer in near real time. The implemented solution utilizes Spring Boot, Kafka Streams, and Apache Cassandra, and they explain the process of using several services to write to Cassandra instead of trying to use Kafka as a distributed log for enforcing consistency.  EPISODE LINKS<ul><li><a href="https://developer.confluent.io/podcast/how-to-run-kafka-streams-on-kubernetes-ft-viktor-gamov" rel="nofollow" target="_blank">How to Run Kafka Streams on Kubernetes ft. Viktor Gamov</a></li><li><a href="https://developer.confluent.io/podcast/machine-learning-with-kafka-streams-kafka-connect-and-ksqldb-ft-kai-waehner" rel="nofollow" target="_blank">Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner</a></li><li><a href="https://developer.confluent.io/podcast/understand-whats-flying-above-you-with-kafka-streams-ft-neil-buesing" rel="nofollow" target="_blank">Understand What’s Flying Above You with Kafka Streams ft. Neil Buesing</a></li><li><a href="https://cnfl.io/confluent-community-slack" rel="nofollow" target="_blank">Join the Confluent Community Slack</a></li><li><a href="https://developer.confluent.io/?utm_source=buzzsprout&amp;utm_medium=podcast&amp;utm_campaign=ch.episode-links_type.community_content.developer" rel="nofollow" target="_blank">Learn more with Kafka tutorials, resources, and guides at Confluent Developer</a></li><li><a href="https://www.confluent.io/confluent-cloud/?utm_source=buzzsprout&amp;utm_medium=podcast&amp;utm_campaign=ch.oprah_type.community_content.cloud" rel="nofollow" target="_blank">Use 60PDCAST to get an additional $60 of free Confluent Cloud usage</a><a href="https://www.confluent.io/confluent-cloud-promo-disclaimer/?utm_source=buzzsprout&amp;utm_medium=podcast&amp;utm_campaign=ch.oprah_type.community_content.cloud" rel="nofollow" target="_blank">*</a></li></ul>

Modernizing Inventory Management Technology ft. Sina Sojoodi and Rohit Kelapure

This week we talk with about how organizations are increasingly looking to improve how they use data and workflows around data to innovate in their business. As with discuss with our guest, Sina Sojoodi, More than the usual ideas about "big data" and "machine learning," we talk about the practical uses of data workflows like insurance claims handling and retail optimization. In many large, successful organizations the stacks to support all this processing are aging and not providing the agility businesses want. Of course, as you can guess, we have some suggestions for how to fix those problems, and also how to start thinking about data workflows differently.We also cover some recent news, mostly around Google Cloud Next and Pivotal's recent momentum announcement.See full show notes at http://pivotal.io/podcast

This week we talk with about how organizations are increasingly looking to improve how they use data and workflows around data to innovate in their business. As with discuss with our guest, Sina Sojoodi, More than the usual ideas about "big data" and "machine learning," we talk about the practical uses of data workflows like insurance claims handling and retail optimization. In many large, successful organizations the stacks to support all this processing are aging and not providing the agility businesses want. Of course, as you can guess, we have some suggestions for how to fix those problems, and also how to start thinking about data workflows differently. We also cover some recent news, mostly around Google Cloud Next and Pivotal's recent momentum announcement. See full show notes at <a href="http://pivotal.io/podcast" rel="nofollow" target="_blank">http://pivotal.io/podcast</a>

Bringing Agility to Enterprise Data Workflows, with Sina Sojoodi (Ep. 55)

This week we talk with about how organizations are increasingly looking to improve how they use data and workflows around data to innovate in their business. As with discuss with our guest, Sina Sojoodi, More than the usual ideas about "big data" and "machine learning," we talk about the practical uses of data workflows like insurance claims handling and retail optimization. In many large, successful organizations the stacks to support all this processing are aging and not providing the agility businesses want. Of course, as you can guess, we have some suggestions for how to fix those problems, and also how to start thinking about data workflows differently. We also cover some recent news, mostly around Google Cloud Next and Pivotal's recent momentum announcement. See full show notes at <a href="http://pivotal.io/podcast" rel="nofollow" target="_blank">http://pivotal.io/podcast</a>

Episode 44: Bringing Agility to Enterprise Data Workflows, with Sina Sojoodi (Ep. 55)