Explore KSACs by Pathway
In late 2025, the Partnership pulled together members of industry from across tech to share how the in-demand skillsets for entry-level roles in their fields have changed in the last two years. The Knowledge, Skills & Abilities and Credentials (KSACs) below reflect their feedback on entry-level expectations, especially in a tech workplace increasingly shaped by AI.
6. Data Storage, Operations, and Administration
| Label | KSAC Description | Bloom's Taxonomy Level | |
|---|---|---|---|
| a | Explain the role of data, information, and databases in organizations (for decision making). | skill | 1 |
| b | Define and appropriately use key terms such as: information, data, database, database management system, metadata, data warehousing and data mining. | knowledge | 2 |
| c | Describe a database management system. | knowledge | 2 |
| d | Identify various types of databases including local vs cloud. | knowledge | 2 |
| e | Describe a database management system (DBMS) and identify specific DBMS platforms and the role they play. | knowledge | 2 |
| f | Discuss and differentiate end-user vs meta data. | knowledge | 2 |
| g | Identify and differentiate structured vs unstructured data. | knowledge | 2 |
| h | Discuss and differentiate OLTP and OLAP databases. | knowledge | 2 |
| i | Demonstrate an understanding of database performance monitoring and tuning. | knowledge | 2 |
| j | Explain the data life cycle in terms of acquisition, migration, retention, expiration and disposition. | knowledge | 2 |
| k | Demonstrate an understanding of backup and recovery procedures and their necessity for disaster recovery and business continuity. | skill | 3 |
| l | Apply SQL data manipulation language such as Select (From), Insert, Update, Delete, JOIN (inner, outer, full, left, right), Where, Group By, Order By, etc. | ability | 3 |
| m | Demonstrate fundamental programming skills including the use of variables, loops, conditional branching, and program logic. | skill | 3 |
| n | Describe the implications of data architecture on data processing. | knowledge | 2 |
| o | Demonstrate an understanding content tagging and its role in data management. | knowledge | 2 |
| p | Demonstrate an understanding of cloud architecture and the capabilities of services such as AWS, Azure, IBM, Oracle and Google | knowledge | 2 |
| q | Explain version control and the significant role it plays in data management. | knowledge | 2 |
| r | Identify and describe basic file types and demonstrate fundamental file management. | skill | 2 |
| s | Ability to install and configure software. | ability | 3 |
Credentials
Vendor Certifications - DBMS
- Oracle Associate
- Microsoft
- IBM
Vendor Certifications - Cloud
- AWS
- Oracle
- Microsoft
