org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers 2. Access Kerberized Kyuubi with Beeline & BI Tools Integrations 1. Kyuubi On Apache Kudu 2. Kyuubi On Delta Lake 3. Kyuubi On Delta Lake With 3. JDBC URL 1.4. Example 1.5. Unsupported Hive Features 2. Access Kerberized Kyuubi with Beeline & BI Tools 2.1. Instructions 2.2. Install Kerberos Client 2.3. Configure Kerberos Client 2.4. Get Kerberos

org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers 2. Access Kerberized Kyuubi with Beeline & BI Tools Integrations 1. Kyuubi On Apache Kudu 2. Kyuubi On Delta Lake 3. Kyuubi On Delta Lake With 3. JDBC URL 1.4. Example 1.5. Unsupported Hive Features 2. Access Kerberized Kyuubi with Beeline & BI Tools 2.1. Instructions 2.2. Install Kerberos Client 2.3. Configure Kerberos Client 2.4. Get Kerberos

org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers 2. Access Kerberized Kyuubi with Beeline & BI Tools Integrations 1. Kyuubi On Apache Kudu 2. Kyuubi On Delta Lake 3. Kyuubi On Delta Lake With 3. JDBC URL 1.4. Example 1.5. Unsupported Hive Features 2. Access Kerberized Kyuubi with Beeline & BI Tools 2.1. Instructions 2.2. Install Kerberos Client 2.3. Configure Kerberos Client 2.4. Get Kerberos

Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi fully compatible with Hive JDBC and ODBC drivers that let you connect to popular Business Intelligence (BI) tools to query, analyze and visualize data though Spark SQL engines. Install Hive JDBC For programing 'hive-jdbc', version: '2.3.8' For BI tools, please refer to Quick Start to check the guide for the BI tool used. If you find there is no specific document for the BI tool that you are using, don’t worry

Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi fully compatible with Hive JDBC and ODBC drivers that let you connect to popular Business Intelligence (BI) tools to query, analyze and visualize data though Spark SQL engines. Install Hive JDBC For programing 'hive-jdbc', version: '2.3.8' For BI tools, please refer to Quick Start to check the guide for the BI tool used. If you find there is no specific document for the BI tool that you are using, don’t worry

Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi fully compatible with Hive JDBC and ODBC drivers that let you connect to popular Business Intelligence (BI) tools to query, analyze and visualize data though Spark SQL engines. Install Hive JDBC For programing 'hive-jdbc', version: '2.3.8' For BI tools, please refer to Quick Start to check the guide for the BI tool used. If you find there is no specific document for the BI tool that you are using, don’t worry

Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. ADMIN ticket(TGT). 3. Kerberos client stores TGT into a ticket cache. 4. JDBC client, such as beeline and BI tools, reads TGT from the ticket cache. 5. JDBC client sends TGT and server principal to KDC. 6. JDBC driver use Kerberos authentication. core-site.xml should be placed under beeline’s classpath or BI tools’ classpath. Beeline Here are the usual locations where core-site.xml should exist for different

Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. ADMIN ticket(TGT). 3. Kerberos client stores TGT into a ticket cache. 4. JDBC client, such as beeline and BI tools, reads TGT from the ticket cache. 5. JDBC client sends TGT and server principal to KDC. 6. JDBC driver use Kerberos authentication. core-site.xml should be placed under beeline’s classpath or BI tools’ classpath. Beeline Here are the usual locations where core-site.xml should exist for different

Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi ticket(TGT). 3. Kerberos client stores TGT into a ticket cache. 4. JDBC client, such as beeline and BI tools, reads TGT from the ticket cache. 5. JDBC client sends TGT and server principal to KDC. 6. JDBC driver use Kerberos authentication. core-site.xml should be placed under beeline’s classpath or BI tools’ classpath. Beeline Here are the usual locations where core-site.xml should exist for different

Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. ADMIN ticket(TGT). 3. Kerberos client stores TGT into a ticket cache. 4. JDBC client, such as beeline and BI tools, reads TGT from the ticket cache. 5. JDBC client sends TGT and server principal to KDC. 6. JDBC driver use Kerberos authentication. core-site.xml should be placed under beeline’s classpath or BI tools’ classpath. Beeline Here are the usual locations where core-site.xml should exist for different