TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark

TWO SERVERLESS SQL AND MORE Serverless SQL on Lakehouses makes it easier for end users to gain insight from the data universe and optimize data pipelines. It enables: • The same user experience as an Quickly reason about the data in various formats (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table which allows Kyuubi to expand its existing ecosystem and introduce new features quickly, such as cloud-native support and Data Lake/Lake House support. Kyuubi’s vision is to build on top of Apache Spark