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This Service installs and configures the Control-M for Apache Hadoop®* solution for an existing Control-M environment. It also includes knowledge transfer of BMC’s recommended Control-M for Hadoop best practices.
What you get:
BMC will perform the following in one environment:
- Provide an overview of the Control-M for Hadoop plugin and its supported job type
- Review pre-requisites for the Control-M for Hadoop implementation
- Install the Control-M for Hadoop plugin for up to two agents
- Configure the Control-M for Hadoop settings
- Create up to three Control-M for Hadoop connection profiles
- Configure Control-M to work with Kerberos* and Oozie Extractor*
- Create up to ten Control-M for Hadoop jobs
- Validate the created jobs
- Conduct hand-off session with Customer
Customer will be responsible for:
- Providing access to their internal domain expert resources, such as schedulers, application developers, big data experts, and automation beneficiaries, on the agreed start date
- Providing the necessary technical resources for the installation and configuration, such as infrastructure and network administrators, on the agreed start date
Deliverables: Using BMC’s standard methodology and templates, the following Deliverables are in scope for this project and will be delivered:
- Construction Document
Completion Criteria: BMC will have completed these Consulting Services when the in-scope Consulting Services have been completed and the Deliverables have been delivered to the Customer Project Manager.
Pre-requisites:
Customer must:
- Have an existing installed and configured Control-M for Distributed Systems
- Provide access to one or two agents for Control-M for Hadoop plugin installations
- View the Connect With Control M: Automating Hadoop and Big Data overview video
Additional information:
- Estimated Duration: 16 days
- In-scope Product: Control-M
- Service Type: Deployment
- Availability: Active
- Success Service Code:CTLM_HDPS_001
- Date Last Updated: 06/09/2022
Definitions:
Apache Hadoop® - is a collection of open-source software utilities that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Kerberos - is a computer-network authentication protocol that works on the basis of tickets to allow nodes communicating over a non-secure network to prove their identity to one another in a secure manner. Oozie Extractor - is a service which fetches Oozie workflows from the Oozie server at each time-based interval on defined rules and pushes the actions of each workflow as submitted jobs.