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Installation Guide
An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
Preparing data sources for Unica Campaign
The Unica Campaign runtime environment uses data sources to store user and interaction data.
Preparing Apache Hadoop Hive user data sources for Unica Campaign
Follow the steps below to enable Hive-based Apache Hadoop data sources to be used in Unica Campaign
Overview of the Unica Campaign integration with Hadoop
Integrating Unica Campaign with Hadoop data sources demands extra software that is not part of the standard Unica Campaign installation requirement. You must be familiar with the terminology and structure of the integration and be able to access various resources that are available to support the integration.
Integration architecture: Hive-based Hadoop and Unica Campaign
This diagram shows the integration architecture for Unica Campaign and Hive-based Hadoop user data sources.

Installation Guides
- Installation Guide
  An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
  - Installation overview
    An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
  - Planning the Unica Campaign Installation
    When you plan your Unica Campaign and Unica Optimize installation, you must ensure that you have set up your system correctly, and that you have configured your environment to deal with any failures.
  - Preparing data sources for Unica Campaign
    The Unica Campaign runtime environment uses data sources to store user and interaction data.
    - Prerequisites of Oracle 12c or Oracle 19.x database before Unica Campaign installation
    - Creating database or schema for Unica Campaign system tables
      The Unica Campaign system tables hold application data. The empty database that you set up for the system tables can have any name. To ensure that the system tables will be mapped automatically, the ODBC name for that database must be UA_SYSTEM_TABLES. If you have multiple partitions, create data sources for each partition where you want to enable Unica Campaign.
    - Creating ODBC or native connections
      Create ODBC or native connections so that the Unica Campaign server can access the Unica Campaign database. Create ODBC or native connections on the computer where you installed the Unica Campaign server.
    - Configuring the web application server for your JDBC driver
    - Creating JDBC connections in web application server
      Create JDBC connections on each of the web application servers where Unica Campaign is deployed. Unica Campaign uses the JDBC connections to access the required databases.
    - Preparing datasource for Unica Campaign using ODBC Connection
    - Preparing MariaDB datasource for Unica Campaign
    - Preparing DB2 on z/OS user datasource for Unica Campaign
      Follow these guidelines to use a DB2® database on z/OS® as a data source for Unica Campaign.
    - Preparing Vertica datasources for Unica Campaign
      Follow these guidelines to use a Vertica database as a data source for Unica Campaign.
    - Preparing Amazon Redshift user data sources for Unica Campaign
      Follow these guidelines to use Amazon Redshift as a data source for Unica Campaign.
    - Preparing Apache Hadoop Hive user data sources for Unica Campaign
      Follow the steps below to enable Hive-based Apache Hadoop data sources to be used in Unica Campaign
      - Requirements and restrictions for Hive-based Hadoop data sources
        The following requirements and restrictions apply to using Hive-based Hadoop data sources with Unica Campaign.
      - Overview of the Unica Campaign integration with Hadoop
        Integrating Unica Campaign with Hadoop data sources demands extra software that is not part of the standard Unica Campaign installation requirement. You must be familiar with the terminology and structure of the integration and be able to access various resources that are available to support the integration.
        Integration architecture: Hive-based Hadoop and Unica Campaign
        This diagram shows the integration architecture for Unica Campaign and Hive-based Hadoop user data sources.
        Terminology and resources for Hive Hadoop
        To understand the Hive Hadoop integration with Unica Campaign, refer to this list of definitions and links to online resources.
      - A. Install a Hive ODBC driver
        This is the first step to integrate Unica Campaign with Hive-based Apache Hadoop data sources. You must install either the DataDirect Hive ODBC Driver from Progress Software or the Cloudera Hive ODBC driver from Cloudera, Inc.
      - B. Configure the Hive ODBC Driver
        This is the second step to integrate Unica Campaign with Hive-based Apache Hadoop data sources. You must configure the driver that you installed (either the DataDirect Hive ODBC Driver from Progress Software or the Cloudera Hive ODBC driver from Cloudera, Inc.).
      - C. Map existing HBase tables to Hive
        This is the third step to integrate Unica Campaign with Hive-based Apache Hadoop data sources. If you do not have existing tables that were created in Apache HBase, you can skip this step.
      - D. Import and configure the BigDataODBCHiveTemplate data source template in Unica Campaign
        This is the fourth step to integrate Unica Campaign with Hive-based Apache Hadoop data sources.
      - E. Configure SSH on the Unica Campaign listener server
        This is the fifth step to integrate Unica Campaign with Hive-based Apache Hadoop data sources.
      - F. Map the Hive datasource in Unica Campaign
        This is the sixth and final step to integrate Unica Campaign with Hive-based Apache Hadoop data sources.
    - Preparing Cloudera Hadoop Impala based user data sources for Unica Campaign
      Follow the steps below to enable Impala based Cloudera Hadoop data sources to be used in Unica Campaign
    - Preparing Cloudera BigData instance using Kerberos authentication
    - Preparing Actian Vector user data source for Campaign
  - Installing Unica Campaign and Unica Optimize
    You must run the Unica installer to start the installation of Unica Campaign and Unica Optimize. The Unica installer starts the product installer during the installation process. Make sure that the Unica installer and the product installer are saved at the same location.
  - Configuring Unica Campaign and Unica Optimize before deployment
    Before you deploy, create and populate the Unica Campaign , Unica Optimize, and Unica Deliver system tables and register Unica Campaign, Unica Optimize, and Unica Deliver manually.
  - Deploying the Unica Campaign web application
    You can deploy the Unica Campaign web application by using an EAR file or you can deploy the individual WAR files.
  - Configuring Unica Campaign and Unica Optimize after deployment
    After you deploy Unica Campaign, you must verify that the Unica Campaign listener is running, set up the Unica Campaign system user, set Unica Campaign configuration properties, and verify the Unica Campaign installation.
  - Configuring multiple partitions for Unica Campaign
    In the Unica family of products, partitions provide a way to secure the data that is associated with different groups of users. When you configure Unica Campaign or a related Unica application to operate with multiple partitions, users can see each partition as a separate instance of the application. There is no indication that other partitions exist on the same computer.
  - Configuring multiple partitions for Unica Optimize
    In the Unica family of products, partitions provide a way to secure the data that is associated with different groups of users. When you configure Unica Campaign or a related Unica application to operate with multiple partitions, users can see each partition as a separate instance of the application. There is no indication that other partitions exist on the same computer.
  - Configuring multiple partitions in Deliver
    Configure multiple partitions in Unica Deliver to isolate and secure data for different groups of Unica Deliver users. As each partition has its own set of configuration properties, you can customize Unica Deliver for each group of users.
  - Unica Platform utilities
    This section provides an overview of the Unica Platform utilities, including some details that apply to all the utilities and which are not included in the individual utility descriptions.
  - Uninstalling Unica Campaign and Unica Optimize
    Run the Unica Campaign and Unica Optimize uninstaller to uninstall Unica Campaign and Unica Optimize. When you run the uninstaller, the files that were created during the installation process are removed. For example, files such as configuration files, installer registry information, and user data are removed from the computer.
  - Unica Campaign web application clustering
    You can configure the Unica Campaign web application (J2EE application) in a cluster by completing additional tasks during the Unica Campaign installation.
  - Installing a clustered listener environment
    Follow these instructions if you want to install a clustered listener configuration. A listener cluster is a set of two or more listeners that act as a unit to provide load balancing and high availability. Unica Campaign listener clusters are Active-Active; meaning each node serves requests using the load-balanced approach. Each Unica Campaign listener provides an interface between front-end clients (such as the Unica Campaign web application) and back-end analytical server processes.

Integration architecture: Hive-based Hadoop and Unica Campaign

This diagram shows the integration architecture for Unica Campaign and Hive-based Hadoop user data sources.

The Apache Hive data warehouse software facilitates querying and managing large datasets that reside in distributed storage. Built on top of Apache Hadoop, Hive provides:

Tools to enable easy data extract/transform/load (ETL)
A mechanism to impose structure on a variety of data formats
Access to files stored either directly in Apache HDFS or in other data storage systems such as Apache HBase
Query execution via MapReduce

Hive defines a simple SQL-like query language, called HiveQL (or HQL), that enables users familiar with SQL to query the data.

You can use the Hue editor (Hadoop UI) to work with your big data instance (for example: connect, view, create tables and databases).

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