As a Big Data Archive Librarian, you will need to master following:

• data models
• database development tools
• database management systems
• maintain data entry requirements
• maintain database performance
• maintain database security
• manage ICT data classification
• manage archive users guidelines
• manage data
• manage digital archives
• query languages
• resource description framework query language
• write database documentation

More generally, a big data archive librarian is also versed in:

• analyse big data
• business intelligence
• comply with legal regulations
• data extraction, transformation and loading tools
• database
• manage content metadata
• manage database

It also helps to know the following:

• CA Datacom/DB
• DB2
• Filemaker (database management systems)
• IBM InfoSphere DataStage
• IBM InfoSphere Information Server
• IBM Informix
• Informatica PowerCenter
• LDAP
• LINQ
• MDX
• Microsoft Access
• MySQL
• N1QL
• ObjectStore
• OpenEdge Database
• Oracle Data Integrator
• Oracle Relational Database
• Oracle Warehouse Builder
• Pentaho Data Integration
• PostgreSQL
• QlikView Expressor
• SAP Data Services
• SPARQL
• SQL Server
• SQL Server Integration Services
• Teradata Database
• XQuery
• apply information security policies
• data quality assessment
• design database backup specifications
• design database scheme
• develop ICT workflow
• information confidentiality
• information structure
• integrate ICT data
• manage data collection systems
• migrate existing data
• normalise data
• perform backups
• visual presentation techniques
• digitise documents
• give live presentation
• monitor technology trends
• statistics