The Modern Data Show

Prepare to be amazed in this episode as Matteo Pelati and Vivek Gudapuri, the brilliant minds behind Dozer, reveal their experience in pushing the boundaries of data management and analysis. By simplifying the process of data serving and allowing companies to create APIs quickly and efficiently, Dozer's approach sets them apart from the modern data stack. Their open-source approach allows developers to build custom operators and extend connectors, ensuring that Dozer can cover a wide range of use cases while still offering customization at each step. They also discuss the challenges they faced during the development of Dozer and how they are positioned to adapt to upcoming trends and developments in real-time data processing.

Uncover the secret to turning data engineering into a superpower! As Sean Knapp, the CEO and founder of Ascend.io, joined us and discussed the value of depth and breadth in capturing the entire data value chain, emphasizing the need for an automation layer to adapt to the evolving data landscape. Ascend's platform enables intelligent data pipeline creation and management, with a dynamic control plane that detects and responds to changes in real time across extensive pipeline networks. Sean further explored the potential of generative AI in data engineering & his optimism about the future of the modern data stack, foreseeing consolidation and the emergence of new parallel spaces in the data ecosystem.

Step into the world of Zalando, Europe's leading online fashion retailer, where data drives innovation and enhances the customer experience. In this episode, join us as we interview Dr. Alexander Borek, the brilliant mind behind Zalando's data and analytics strategy. Discover how Dr. Borek and his team have revolutionized the company's approach to data by implementing the cutting-edge concept of data mesh. Learn how Zalando successfully strikes the perfect balance between decentralization and structure, unleashing the full potential of data while maintaining collaboration with various business units. Dr. Borek also unveils the secrets to leveraging data for innovation and value creation in the dynamic world of online fashion. Tune in now for an eye-opening exploration of data management, leadership, and the future of data-driven decision-making at Zalando.

Twilio has built an open source data lake using AWS technologies and Databricks, processing billions of events daily through their Kafka environment. They aim to provide a cohesive view of data across platforms and enable other businesses to use data wherever they want. Don, the Head of Data Platform and Engineering at Twilio, shares insights into Twilio's data stack in the latest episode of the Modern Data Show. The conversation covers the Twilio data stack, which begins with data ingestion through Kafka or CDC for Aurora databases, followed by storage in S3, high-level aggregation and curation using Spark, and the use of tools such as Kudu, Reverse ETL, data governance, cataloging, and BI tools.

Did your business ever face challenges to sync live data to your sales, marketing, and customer success tools? Then this is where you need Hightouch, a Reverse ETL platform that syncs data from a data warehouse to SaaS tools in minutes. It enables businesses to get accurate customer data quickly without requiring engineering effort or manual work. In this episode, Tejas Manohar shared his journey from developing games at a young age to becoming the  Co-founder and CEO of Hightouch. He provided valuable insights into Hightouch's internal connector framework, which automatically performs tasks like change data capture and batching, as well as providing methods to send rows that may need to be retried in future syncs. He also talked about Hightouch's two new products and the future of reverse ETL.