List of Pages in Category Hive (67 pages)
Apache Hive
A 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 Data Stores
- Configuring CDH Components for Hue
- Configuring CDH Services for HDFS Encryption
- Configuring Encrypted Communication Between Hive 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 Health Tests
- Hive Installation
- Hive Metastore High Availability
- Hive Metastore Server Health Tests
- 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 Replication
- Hive SQL Syntax for Use with Sentry
- Hive Table Statistics
- HiveServer2 Health Tests
- 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 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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