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2944: What is a Lakehouse, and Why is it the Next Big Thing in Data?

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Conteúdo fornecido por Neil C. Hughes. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Neil C. Hughes ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Have you ever wondered what the future of data management looks like? In this episode, we dive into the world of data lakehouses with Ori Rafael, the CEO and co-founder of Upsolver. Ori shares his insights on why the lakehouse is poised to be the next big thing in data, and how Upsolver is at the forefront of this revolutionary architecture.

A data lakehouse is not just a buzzword; it's a transformative approach that decouples storage, metadata management, and compute. Ori explains how this separation allows for greater flexibility and significant cost savings compared to traditional data warehouses. By leveraging object storage like S3, open-source Iceberg for metadata, and various compute engines, lakehouses reduce vendor lock-in and provide the ability to use specialized engines for different workloads, such as AI.

We explore the key advantages of lakehouses, including cost reduction, flexibility, and avoiding vendor lock-in. However, transitioning to a lakehouse architecture is not without its challenges. Ensuring performance parity with data warehouses and managing data access controls are significant hurdles. Ori discusses how Upsolver is tackling these challenges head-on, providing ETL solutions and lake management capabilities that optimize data lakes for performance and interoperability.

The episode also delves into the trends shaping the future of data management. With the rapid adoption of open lakehouses and Iceberg emerging as the standard, enterprises are moving away from traditional data warehouses and legacy data lakes. Ori provides a glimpse into how open source catalogs with governance capabilities are evolving, paving the way for more robust and scalable data management solutions.

We wrap up the conversation by asking Ori a fun question: If he could have a private breakfast or lunch with anyone in the business, VC funding, or tech world, who would it be and why? You never know, the person he mentions might just be listening!

Join us for this insightful discussion on the future of data management and discover why the lakehouse is the next big thing in the industry. Be sure to find out more about Upsolver and their innovative solutions by visiting their website or connecting with their team online.

  continue reading

2031 episódios

Artwork
iconCompartilhar
 
Manage episode 425689240 series 80936
Conteúdo fornecido por Neil C. Hughes. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Neil C. Hughes ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Have you ever wondered what the future of data management looks like? In this episode, we dive into the world of data lakehouses with Ori Rafael, the CEO and co-founder of Upsolver. Ori shares his insights on why the lakehouse is poised to be the next big thing in data, and how Upsolver is at the forefront of this revolutionary architecture.

A data lakehouse is not just a buzzword; it's a transformative approach that decouples storage, metadata management, and compute. Ori explains how this separation allows for greater flexibility and significant cost savings compared to traditional data warehouses. By leveraging object storage like S3, open-source Iceberg for metadata, and various compute engines, lakehouses reduce vendor lock-in and provide the ability to use specialized engines for different workloads, such as AI.

We explore the key advantages of lakehouses, including cost reduction, flexibility, and avoiding vendor lock-in. However, transitioning to a lakehouse architecture is not without its challenges. Ensuring performance parity with data warehouses and managing data access controls are significant hurdles. Ori discusses how Upsolver is tackling these challenges head-on, providing ETL solutions and lake management capabilities that optimize data lakes for performance and interoperability.

The episode also delves into the trends shaping the future of data management. With the rapid adoption of open lakehouses and Iceberg emerging as the standard, enterprises are moving away from traditional data warehouses and legacy data lakes. Ori provides a glimpse into how open source catalogs with governance capabilities are evolving, paving the way for more robust and scalable data management solutions.

We wrap up the conversation by asking Ori a fun question: If he could have a private breakfast or lunch with anyone in the business, VC funding, or tech world, who would it be and why? You never know, the person he mentions might just be listening!

Join us for this insightful discussion on the future of data management and discover why the lakehouse is the next big thing in the industry. Be sure to find out more about Upsolver and their innovative solutions by visiting their website or connecting with their team online.

  continue reading

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