The Future Is Open – The Rise of the Cloud Data Lake

The rise of cloud data lake storage (e.g., S3, ADLS) as the default bit bucket in the cloud, combined with the infinite supply and elasticity of cloud compute (e.g., EC2, Azure VMs), has ushered in a new era in data analytics architectures. In this new world, data can be stored and managed in open source file and table formats, such as Apache Parquet and Apache Iceberg, and accessed by best-of-breed elastic compute engines such as Dremio, Databricks and EMR. As a result, companies can now avoid becoming locked into monolithic systems such as cloud data warehouses and Hadoop distributions, and instead enjoy the flexibility of using the best of breed technologies of today and tomorrow. In this session we explore these secular trends and the building blocks that have come together to enable this new open architect.

Speakers

Tomer Shiran

Tomer Shiran is the CPO and founder of Dremio. Prior to Dremio, he was VP Product and employee #5 at MapR, where he was responsible for product strategy, roadmap, and new feature development. As a member of the executive team, Tomer helped grow the company from five employees to over 300 employees and 700 enterprise customers. Prior to MapR, Tomer held numerous product management and engineering positions at Microsoft and IBM Research. He holds a master’s degree in electrical and computer engineering from Carnegie Mellon University and a bachelor’s in computer science from Technion – Israel Institute of Technology, as well as five U.S. patents.

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Using Data Mesh to Advance Distributed Data Access, Agility and Governance

Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.

Webinars

Smart Data – Smart Factory with Octotronic and Dremio

Guides

What Is a Data Lakehouse?

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.