The Data T

Armon Petrossian and Satish Jayanthi
The Data T

Previously known as Coffee with Coalesce, The Data T is a monthly podcast hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce, the data transformation company. Each month, we invite industry experts, entrepreneurs, and executives to spill the tea on the data industry's hottest topics: from data modeling and data ops to AI and LLMs, data engineering trends and predictions, datapreneurship, and more.

  1. 2024/12/13

    SAP Migrations with David Richert and Edwin Commandeur

    In the final episode of Coffee with Coalesce for 2024, we travel to Europe to chat with David Richert, SAP Modernization Evangelist and Principal Sales Engineer at Snowflake, and Edwin Commandeur, Principal Field Product Manager (SAP) at Fivetran, about the challenges and innovations in data management and migration, particularly in the context of SAP systems. Hosted by Damien Walker and Glen Dawson, the conversation explores the benefits of shifting from application-centric to data-centric approaches to data management and highlights strategies for overcoming technical and organizational barriers in SAP migrations. Key topics include: Transitioning from application-centric to data-centric models: The shift to modern data platforms like Snowflake highlights the need to rethink data architectures.End-to-end data integration: The challenges in unifying SAP and non-SAP data underscores the importance of platforms like Fivetran in data modernization initiatives.Navigating SAP end-of-life decisions: Key considerations for organizations that face critical decisions as they approach end-of-life deadlines for certain SAP platforms.SAP migrations and cloud adoption: The benefits of moving SAP systems to the cloud and recommendations for addressing the challenges of legacy systems with modern, scalable solutions.Watch the video recording of this podcast episode here. Resources: Power SAP data transformations at scale Demo: Integrating SAP Data Into SnowflakeWith Fivetran, Coalesce and phData Coalesce Snowflake Fivetran Connect with the speakers: David Richert Edwin Commandeur Damien Walker Glen Dawson

    40 分钟
  2. 2024/10/29

    Semantic Layer Innovation with Artyom Keydunov and Pavel Tiunov

    In this episode of Coffee with Coalesce, Cube co-founders Artyom Keydunov and Pavel Tiunov discuss their journey with Cube, from starting out as a side project to a successful company that recently raised its Series B funding rou nd. The discussion touches on Cube’s founding story, innovating the semantic layer with a universal approach, and their data management strategy. Listen to the full episode for more on: Cube’s founding story: The company’s origins as an open-source project focused on embedding BI tools into Slack, eventually pivoting to creating a universal semantic layer.Semantic layer innovation: The importance of a universal semantic layer for ensuring consistent metrics across different BI tools.Cube’s latest product features, including next-gen data modeling, AI-powered capabilities, and more.Predictions and top industry trends in 2025: AI will play a growing role in data engineering, especially with data modeling and optimizing data queries; consolidation within the Modern Data Stack, the evolution of AI-powered tools in analytics, and more.Hosted by Coalesce co-founders Armon Petrossian and Satish Jayanthi. Resources: About Cube: https://cube.dev/About Coalesce: https://coalesce.io/Article: Achieve Data Maturity with an Integrated Semantic LayerNews: Coalesce and Cube Partner to Bring a Universal Semantic Layer to Data Pipeline DevelopmentConnect with our hosts: Armon PetrossianSatish JayanthiConnect with this episode's guests: Artyom KeydunovPavel Tiunov

    47 分钟

关于

Previously known as Coffee with Coalesce, The Data T is a monthly podcast hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce, the data transformation company. Each month, we invite industry experts, entrepreneurs, and executives to spill the tea on the data industry's hottest topics: from data modeling and data ops to AI and LLMs, data engineering trends and predictions, datapreneurship, and more.

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