List of Pages in Category Hive (66 pages)
Hive
An Apache data warehouse system for Hadoop that facilitates summarization and the analysis of large datasets stored in HDFS using an SQL-like language called HiveQL.
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- Cloudera Manager and Managed Service Datastores
- Configuring CDH Components for Hue
- Configuring CDH Services for HDFS Encryption
- Configuring Encrypted Communication Between HiveServer2 and Client Drivers
- Configuring Hive on Spark
- Configuring Hive on Spark for Hive CLI
- Configuring HiveServer2
- Configuring Sentry Policy File Authorization Using Cloudera Manager
- Configuring Sentry Policy File Authorization Using the Command Line
- Configuring the Hive Metastore
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- Hive Authentication
- Hive Installation
- Hive Metastore High Availability
- Hive Metastore Server Metrics
- Hive Metastore Server Security Configuration
- Hive Metrics
- Hive Properties in CDH 5.0.0
- Hive Properties in CDH 5.1.0
- Hive Properties in CDH 5.2.0
- Hive Properties in CDH 5.3.0
- Hive Properties in CDH 5.4.0
- Hive Properties in CDH 5.5.0
- Hive Properties in CDH 5.6.0
- Hive Replication
- Hive SQL Syntax for Use with Sentry
- Hive Table Statistics
- HiveServer2 Metrics
- HiveServer2 Security Configuration
- How Impala Fits Into the Hadoop Ecosystem
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- Impala Requirements
- Impala Requirements
- Installing and Upgrading the HCatalog RPM or Debian Packages
- Installing Hive
- Installing the Hive JDBC Driver on Clients
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- Managing Hive
- Managing Hive Using Cloudera Manager
- Managing MapReduce and YARN
- Managing User-Defined Functions (UDFs) with HiveServer2
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- Schema
- Securing the Hive Metastore Database
- Sensitive Data Redaction
- Setting HADOOP_MAPRED_HOME
- Setting HADOOP_MAPRED_HOME
- SQL Differences Between Impala and Hive
- Starting HiveServer1 and the Hive Console
- Starting the Metastore
- Starting, Stopping, and Using HiveServer2
- Step 11: (CDH 4.0 and 4.1 only) Configure Hue to Use a Local Hive Metastore
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- Upgrading Hive
- Using Avro with Hive
- Using Hive to Run Queries on a Secure HBase Server
- Using Hive with HBase
- Using Snappy for Hive Compression
- Using Snapshots with Replication
- Using the Hive Schema Tool
- Using the Parquet File Format with Impala, Hive, Pig, and MapReduce
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