Data Access

Cloudera Data Platform Runtime includes Apache Hive 3 and Apache Impala for storing and accessing data in the Hive metastore database. Hive 3 addresses enterprise data warehouse demands for transactional data in the ORC file format. Impala performs high-performance, low-latency SQL queries on data in Parquet and other formats. Hue is a web-based interactive editor for querying the Hive metastore that also creates Oozie workflows. DAS is a web application for performing operations on Hive tables and also provides recommendations for optimizing the performance of your queries.

Data Analytics Studio

Using Data Analytics Studio

Describes how to work with queries, manage databases and tables, and generate reports.

Apache Hive

Working with Hive Metastore

Describes how Hive metastore (HMS) detects client types and and stores compatible tables, authorizes access to tables from Spark, and stores metadata of multiple services, such as Hive and Impala.

Starting Apache Hive

Describes how to launch Hive, execute commands, and issue queries from Beeline.

Using Hive

Covers how to use Hive 3 to query flat and transactional data using SQL statements.

Managing Apache Hive

Includes information about mature ACID v2 operations on transactions, compaction of files that accumulate during, ingestion, and query vectorization.

Managing Apache Hive Workloads

Summarizes and describes how to improve parallel query execution and share queries in CDP Public Cloud.

Configuring Apache Hive

Describes how to set up Hive to generate statistics and control the number of concurrent connections to Hive.

Securing Apache Hive

Discusses how to choose an authorization model based on your use case.

Integrating Apache Hive with Apache Spark and BI

Covers accessing Hive tables from Spark through the Spark Direct Reader or Hive Warehouse Connector, using JdbcStorageHandler to access an external data source, and connecting to Business Intelligence (BI) tools.

Apache Hive Performance Tuning

Explains low-latency analytical processing, caching, and tuning options.

Migrating Data Using Sqoop

Explains how to move data from relational databases directly to Hive or to the file system or object store and how to move data back to Hive.

Apache Impala

Integrating with Apache Impala

Provides examples on how to use Impala to insert, query, update, and delete data from Kudu tablets using Impala's SQL syntax.

Managing Apache Impala

Presents the task topics for configuring and managing Impala.


Using Hue

Describes how to use Hue to query Apache Impala data sets and how to use it to browse metadata in Apache Atlas.

Administering Hue

Describes how to configure Hue, customize its web UI, and to enable integration with Apache Atlas.

Securing Hue

Describes how to set Hue user and application permissions, configure SSL connections, LDAP authentication, and integration with Apache Ranger and Knox.

Tuning Hue

Describes how to add a load balancer and configure high availability for Hue and between Hue and other components, such as Hive, Impala, and HDFS.


Search Tutorial

A tutorial on using Cloudera Search.

Securing Cloudera Search

Describes how to secure Solr network connections, configure authentication and authorization.

Tuning Cloudera Search

Describes how to optimize Cloudera Search performance for various use cases.

Managing Cloudera Search

Describes how to configure and manage Cloudera Search.

Cloudera Search ETL

Describes how to perform ETL using Cloudera Search and Morphlines.

Indexing Data Using Cloudera Search

Describes how to index data using Cloudera Search.