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
Describes how to work with queries, manage databases and tables, and generate reports.
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.
Describes how to launch Hive, execute commands, and issue queries from Beeline.
Covers how to use Hive 3 to query flat and transactional data using SQL statements.
Includes information about mature ACID v2 operations on transactions, compaction of files that accumulate during, ingestion, and query vectorization.
Describes how to set up Hive to generate statistics and control the number of concurrent connections to Hive.
Discusses how to choose an authorization model based on your use case.
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.
Explains low-latency analytical processing, caching, and tuning options.
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.
Presents the task topics for configuring client access to Impala, and starting and stopping Impala.
Describes a set of security features Impala provides to protect your critical and sensitive data.
Describes how to customize your environment after installing Impala.
Describes how to tune Impala queries and other SQL operations.
Presents the task topics for managing resources and metadata in Impala.
Describes how to monitor Impala service to run smoothly and avoid conflicts with other components running on the same cluster.
Describes how to use Hue to query Apache Impala data sets and how to use it to browse metadata in Apache Atlas.
Describes how to configure Hue, customize its web UI, and to enable integration with Apache Atlas.
Describes how to set Hue user and application permissions, configure SSL connections, LDAP authentication, and integration with Apache Ranger and Knox.
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.
A tutorial on using Cloudera Search.
Describes how to secure Solr network connections, configure authentication and authorization.
Describes how to optimize Cloudera Search performance for various use cases.
Describes how to configure and manage Cloudera Search.
Describes how to perform ETL using Cloudera Search and Morphlines.
Describes how to index data using Cloudera Search.