IBM InfoSphere Optim Data Growth for Archiving on z/OS is a solution designed to help organizations manage data growth challenges by archiving historical data efficiently on IBM Z (z/OS) mainframe environments.

  1. Data Archiving: InfoSphere Optim Data Growth for Archiving enables organizations to identify, select, and archive historical or infrequently accessed data from production databases to secondary storage. This helps in reducing the size of production databases, improving performance, and lowering storage costs.

  2. Policy-Based Archiving: The solution offers policy-based archiving capabilities, allowing organizations to define rules and criteria for selecting data to be archived. Policies can be based on data age, usage frequency, business relevance, or regulatory compliance requirements.

  3. Data Retention Management: It provides tools for managing data retention periods and enforcing data retention policies. This ensures that archived data is retained for the required duration based on business or regulatory requirements.

  4. Compression and Encryption: InfoSphere Optim Data Growth for Archiving supports data compression and encryption techniques to optimize storage utilization and enhance data security for archived data.

Before learning IBM InfoSphere Optim Data Growth for Archiving on z/OS, it's beneficial to have a foundational understanding of several key areas:

  1. Mainframe Concepts: Familiarity with IBM Z mainframe architecture, z/OS operating system, and mainframe storage concepts is essential. Understanding mainframe data management practices, such as Db2 databases and VSAM files, is also valuable.

  2. Database Management: Proficiency in database management systems (DBMS) is important, particularly with IBM Db2, as InfoSphere Optim often integrates closely with Db2 databases for data archiving purposes. Knowledge of SQL and database administration concepts is beneficial.

  3. Data Lifecycle Management: Understanding the lifecycle of data within an organization, including data creation, usage, retention, and disposal, is crucial. Familiarity with data governance principles, data retention policies, and regulatory compliance requirements (such as GDPR, HIPAA, etc.) is helpful.

  4. Storage Technologies: Knowledge of storage technologies and storage management practices is advantageous, especially in the context of IBM Z mainframe environments. Understanding different storage types, storage allocation methods, and storage optimization techniques is beneficial.

Learning IBM InfoSphere Optim Data Growth for Archiving on z/OS equips you with a range of valuable skills that are beneficial for managing data growth and optimizing storage resources in mainframe environments. Some of the key skills you gain include:

  1. Data Archiving Techniques: You'll learn various data archiving techniques and strategies for efficiently managing data growth, including data compression, data purging, and data archiving policies.

  2. IBM Z Mainframe Expertise: As InfoSphere Optim is typically deployed in IBM Z mainframe environments, you'll gain a deeper understanding of mainframe architecture, z/OS operating system, and mainframe storage concepts.

  3. IBM Db2 Integration: InfoSphere Optim often integrates closely with IBM Db2 databases for archiving purposes. You'll learn how to work with Db2 databases, interact with Db2 tables, and optimize Db2 data storage.

  4. Storage Optimization: You'll learn techniques for optimizing storage resources on IBM Z mainframes, including managing disk space allocation, optimizing data placement, and leveraging storage tiering strategies.

contact us

Get in touch with us and we'll get back to you as soon as possible


Disclaimer: All the technology or course names, logos, and certification titles we use are their respective owners' property. The firm, service, or product names on the website are solely for identification purposes. We do not own, endorse or have the copyright of any brand/logo/name in any manner. Few graphics on our website are freely available on public domains.