data entry clerktobig data archive librarian
A data entry clerk already meets 26% of what the big data archive librarian role asks for. The move turns on 16 required skills not yet in the profile.
26%
80.5/ 100
1 Share of the big data archive librarian role’s weighted skill requirement already met by the data entry clerk profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.
Why this move works
A big data archive librarian role treats 7 of its required skills as things a data entry clerk already does. These are the ones it depends on most.
- data models
- database
- maintain data entry requirements
- manage ICT data classification
- manage data
- query languages
What stands in the way is 16 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 17 skills that carry over, these are the ones fewest other occupations ask for. A big data archive librarian role needs them, and most people applying for one will not have them already. This is the part of a data entry clerk background worth leading with.
- already held maintain data entry requirements information skills
- already held manage ICT data classification working with computers
- already held normalise data working with computers
- already held manage data collection systems information skills
- already held database information and communication technologies (icts)
- already held data models information and communication technologies (icts)
All 17 carried skills, including the 7 the big data archive librarian role treats as required.
Table 3 · What you would need to learn
The 56 missing skills fall into 10 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.
- required, not held manage digital archives required
- required, not held analyse big data required
- required, not held manage content metadata required
- required, not held manage database required
- optional, not held manage information access aids optional
- optional, not held monitor technology trends optional
- required, not held database development tools required
- required, not held database management systems required
- required, not held data extraction, transformation and loading tools required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held IBM Informix optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Relational Database optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration optional
- optional, not held PostgreSQL optional
- optional, not held QlikView Expressor optional
- optional, not held SAP Data Services optional
- optional, not held SAS Data Management optional
- optional, not held SQL Server optional
- optional, not held SQL Server Integration Services optional
- optional, not held Teradata Database optional
- optional, not held TripleStore optional
- optional, not held information structure optional
- required, not held digital data processing required
- required, not held maintain database performance required
- required, not held maintain database security required
- optional, not held integrate ICT data optional
- optional, not held migrate existing data optional
- optional, not held perform backups optional
- optional, not held creatively use digital technologies optional
- optional, not held digitise documents optional
- required, not held digital curation required
- required, not held digitization required
- required, not held write database documentation required
- optional, not held design database backup specifications optional
- optional, not held design database scheme optional
- optional, not held give live presentation optional
- optional, not held identify technological needs optional
- required, not held business intelligence required
- optional, not held data quality assessment optional
4 further areas in the appendix
Table 4 · Where to start
The 3 entries a big data archive librarian role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 digital curation knowledge · occupation specific
- 02 database development tools knowledge · sector specific
- 03 database management systems knowledge · sector specific
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 17 skills that carry over
- already held data models knowledge
- already held database knowledge
- already held maintain data entry requirements skill
- already held manage ICT data classification skill
- already held manage data skill
- already held query languages knowledge
- already held resource description framework query language knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
- already held apply information security policies skill
- already held information confidentiality knowledge
- already held manage data collection systems skill
- already held normalise data skill
The 4 learning areas not shown above
- required, not held manage archive users guidelines required
- optional, not held develop ICT workflow optional
- required, not held comply with legal regulations required
- optional, not held visual presentation techniques optional
- optional, not held statistics optional
40 supplementary skills, helpful but not required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held IBM Informix optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Relational Database optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration optional
- optional, not held PostgreSQL optional
- optional, not held QlikView Expressor optional
- optional, not held SAP Data Services optional
- optional, not held SAS Data Management optional
- optional, not held SQL Server optional
- optional, not held SQL Server Integration Services optional
- optional, not held Teradata Database optional
- optional, not held TripleStore optional
- optional, not held data quality assessment optional
- optional, not held design database backup specifications optional
- optional, not held design database scheme optional
- optional, not held develop ICT workflow optional
- optional, not held information structure optional
- optional, not held integrate ICT data optional
- optional, not held manage information access aids optional
- optional, not held migrate existing data optional
- optional, not held perform backups optional
- optional, not held visual presentation techniques optional
- optional, not held creatively use digital technologies optional
- optional, not held digitise documents optional
- optional, not held give live presentation optional
- optional, not held identify technological needs optional
- optional, not held monitor technology trends optional
- optional, not held statistics optional
17 held skills the big data archive librarian role does not ask for
- not needed by the target role ABBYY FineReader knowledge
- not needed by the target role OmniPage knowledge
- not needed by the target role apply organisational techniques skill
- not needed by the target role apply statistical analysis techniques skill
- not needed by the target role data storage knowledge
- not needed by the target role documentation types knowledge
- not needed by the target role establish data processes skill
- not needed by the target role implement data quality processes skill
- not needed by the target role implement data warehousing techniques skill
- not needed by the target role manage digital documents skill
- not needed by the target role optical character recognition software knowledge
- not needed by the target role perform data cleansing skill
- not needed by the target role process data skill
- not needed by the target role use an application-specific interface skill
- not needed by the target role use databases skill
- not needed by the target role use spreadsheets software skill
- not needed by the target role use word processing software skill
34 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- required, not held digital curation required
- required, not held database development tools required
- required, not held database management systems required
- required, not held business intelligence required
- required, not held data extraction, transformation and loading tools required
- required, not held digitization required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held IBM Informix optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Relational Database optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration optional
- optional, not held PostgreSQL optional
- optional, not held QlikView Expressor optional
- optional, not held SAP Data Services optional
- optional, not held SAS Data Management optional
- optional, not held SQL Server optional
- optional, not held SQL Server Integration Services optional
- optional, not held Teradata Database optional
- optional, not held TripleStore optional
- optional, not held data quality assessment optional
- optional, not held information structure optional
- optional, not held visual presentation techniques optional
- optional, not held statistics optional
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.