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The Year of the Data Lakehouse

Presented by

Tomer Shiran, Anushka Anand, Deepika Duggirala, Tamas Kerekjarto

About this talk

Data and Analytics organizations have worked to balance improving access and self-service for the business with achieving security and governance at scale. Data lakehouses are ideally suited to help organizations provide both agility and governance. Deepika Duggirala, SVP Global Technology Platforms, at TransUnion and Tamas Kerekjarto, Head of Engineering, Renewables and Energy Solutions at Shell, will share their journeys to deliver governed self-service. Apache Iceberg development and adoption accelerated significantly this year, enabling modern data lakes to deliver data warehouse functionality and become data lakehouses. With Apache Iceberg, the industry has consolidated around a vendor-agnostic table format, and innovation from tech companies (Apple, Netflix, etc.) and service providers (AWS, Dremio, GCP, Snowflake, etc.) is creating a world in which data and compute are independent. In this new world, companies can enjoy advancements in data processing, thanks to engine freedom, and data management, thanks to new paradigms such as Data-as-Code. Tomer Shiran, CPO and Founder of Dremio, will deliver Subsurface’s keynote address.
Dremio

Dremio

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Dremio is the easy and open data lakehouse platform.
Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance.
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