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Quick Introduction to Dremio: Open Data Lakehouse for Simplified Data Access
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Are you looking for an easy and open Data Lakehouse to query over a billion records? Dremio is the answer. Founded by Tomer Shiran, Dremio provides an open source platform that simplifies data engineering and data analytics for everyone.
Tomer Shiran, the Chief Product Officer of Dremio, has created a demo to showcase how quickly and easily Dremio can query over a billion records in Amazon S3. This demo highlights the potential of Dremio's Data Lakehouse technology to provide users with faster, more efficient access to data.
Dremio is a modern Data Lakehouse engine that makes it easy to access data from any source. It eliminates the need for complex ETL processes and enables users to quickly analyze large datasets without having to move or copy data. With its flexible architecture, users can create virtual datasets that are optimized for their specific use case and query them directly from the source.
Dremio also provides powerful features such as self-service analytics, data governance, security, and scalability. It is an open platform that allows developers to create custom connectors that integrate with other popular technologies such as Apache Spark, Presto, AWS Athena, and more.
Dremio offers organizations of all sizes the ability to easily query large datasets without having to move or copy data. The user-friendly interface allows anyone in the organization to explore data quickly and efficiently without needing specialized skills or knowledge of SQL or other programming languages. With its scalable architecture, organizations can scale their usage up or down depending on their needs without having to invest in additional infrastructure or hardware.
By leveraging Dremio's open source platform and advanced Data Lakehouse technology, organizations can gain unprecedented insights into their business operations while reducing costs associated with traditional data warehouses and lakes. Whether you are looking for an easy and open Data Lakehouse engine or a modern Data Warehouse solution, Dremio can help you get the most out of your data.
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Tomer Shiran, the Chief Product Officer of Dremio, has created a demo to showcase how quickly and easily Dremio can query over a billion records in Amazon S3. This demo highlights the potential of Dremio's Data Lakehouse technology to provide users with faster, more efficient access to data.
Dremio is a modern Data Lakehouse engine that makes it easy to access data from any source. It eliminates the need for complex ETL processes and enables users to quickly analyze large datasets without having to move or copy data. With its flexible architecture, users can create virtual datasets that are optimized for their specific use case and query them directly from the source.
Dremio also provides powerful features such as self-service analytics, data governance, security, and scalability. It is an open platform that allows developers to create custom connectors that integrate with other popular technologies such as Apache Spark, Presto, AWS Athena, and more.
Dremio offers organizations of all sizes the ability to easily query large datasets without having to move or copy data. The user-friendly interface allows anyone in the organization to explore data quickly and efficiently without needing specialized skills or knowledge of SQL or other programming languages. With its scalable architecture, organizations can scale their usage up or down depending on their needs without having to invest in additional infrastructure or hardware.
By leveraging Dremio's open source platform and advanced Data Lakehouse technology, organizations can gain unprecedented insights into their business operations while reducing costs associated with traditional data warehouses and lakes. Whether you are looking for an easy and open Data Lakehouse engine or a modern Data Warehouse solution, Dremio can help you get the most out of your data.
Connect with us!