Spark as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

Spark as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

Spark as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

Spark as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it’s use the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.