Chief data officer to big data archive librarian
A chief data officer already meets 43% of what the big data archive librarian role asks for. The move turns on 14 required skills not yet in the profile.
67.3/ 100
1 How much of what a big data archive librarian is expected to do is already part of a chief data officer’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the big data archive librarian role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A big data archive librarian role treats 9 of its required skills as things a chief data officer already does. You would walk in with these on day one.
- business intelligence
- data models
- database
- database development tools
- database management systems
- manage ICT data classification
What stands in the way is 14 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 33 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 chief data officer background worth leading with.
- already held manage ICT data classification working with computers
- already held integrate ICT data working with computers
- already held Oracle Relational Database information and communication technologies (icts)
- already held CA Datacom/DB information and communication technologies (icts)
- already held Filemaker (database management systems) information and communication technologies (icts)
- already held IBM Informix information and communication technologies (icts)
All 33 carried skills, including the 9 the big data archive librarian role treats as required.
Table 3 · What you may need to learn
The 40 missing skills fall into 8 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn maintain data entry requirements required
- still to learn manage digital archives required
- still to learn analyse big data required
- still to learn manage content metadata required
- still to learn manage database required
- optional, not held manage data collection systems optional
- optional, not held manage information access aids optional
- optional, not held monitor technology trends optional
- still to learn digital data processing required
- still to learn maintain database performance required
- still to learn maintain database security required
- optional, not held migrate existing data optional
- optional, not held normalise data optional
- optional, not held perform backups optional
- optional, not held creatively use digital technologies optional
- optional, not held digitise documents optional
- still to learn digital curation required
- still to learn digitization required
- still to learn data extraction, transformation and loading tools required
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration 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 Integration Services optional
- optional, not held TripleStore optional
- still to learn 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
- still to learn manage archive users guidelines required
- optional, not held develop ICT workflow optional
2 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 study this
- 02 digital data processing practise this
- 03 maintain data entry requirements practise this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 33 skills that carry over
- already held business intelligence knowledge
- already held data models knowledge
- already held database knowledge
- already held database development tools knowledge
- already held database management systems knowledge
- 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 CA Datacom/DB knowledge
- already held DB2 knowledge
- already held Filemaker (database management systems) knowledge
- already held IBM Informix knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held Microsoft Access knowledge
- already held MySQL knowledge
- already held N1QL knowledge
- already held ObjectStore knowledge
- already held OpenEdge Database knowledge
- already held Oracle Relational Database knowledge
- already held PostgreSQL knowledge
- already held SPARQL knowledge
- already held SQL Server knowledge
- already held Teradata Database knowledge
- already held XQuery knowledge
- already held apply information security policies skill
- already held data quality assessment knowledge
- already held information confidentiality knowledge
- already held information structure knowledge
- already held integrate ICT data skill
- already held visual presentation techniques knowledge
The 2 learning areas not shown above
- still to learn comply with legal regulations required
- optional, not held statistics optional
26 supplementary skills, helpful but not required
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration 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 Integration Services optional
- optional, not held TripleStore 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 manage data collection systems optional
- optional, not held manage information access aids optional
- optional, not held migrate existing data optional
- optional, not held normalise data optional
- optional, not held perform backups 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
28 held skills the big data archive librarian role does not ask for
- not needed by the target role apply change management skill
- not needed by the target role business processes knowledge
- not needed by the target role cloud technologies knowledge
- not needed by the target role coordinate technological activities skill
- not needed by the target role data engineering knowledge
- not needed by the target role data ethics knowledge
- not needed by the target role data mining knowledge
- not needed by the target role data science knowledge
- not needed by the target role data storage knowledge
- not needed by the target role decision support systems knowledge
- not needed by the target role define data quality criteria skill
- not needed by the target role define technology strategy skill
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role develop information security strategy skill
- not needed by the target role image recognition knowledge
- not needed by the target role implement ICT risk management skill
- not needed by the target role information architecture knowledge
- not needed by the target role information categorisation knowledge
- not needed by the target role information extraction knowledge
- not needed by the target role information security strategy knowledge
- not needed by the target role make data-driven decisions skill
- not needed by the target role manage ICT data architecture skill
- not needed by the target role manage business knowledge skill
- not needed by the target role online analytical processing knowledge
- not needed by the target role report analysis results skill
- not needed by the target role unstructured data knowledge
- not needed by the target role use databases skill
- not needed by the target role utilise decision support system skill
16 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn digital curation required
- still to learn data extraction, transformation and loading tools required
- still to learn digitization required
- optional, not held IBM InfoSphere DataStage optional
- optional, not held IBM InfoSphere Information Server optional
- optional, not held Informatica PowerCenter optional
- optional, not held MarkLogic optional
- optional, not held Oracle Data Integrator optional
- optional, not held Oracle Warehouse Builder optional
- optional, not held Pentaho Data Integration 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 Integration Services optional
- optional, not held TripleStore optional
- optional, not held statistics optional
Common questions about this move
Can a chief data officer become a big data archive librarian?
Yes, and it is a substantial move. A chief data officer already covers 43% of what a big data archive librarian is expected to do: 33 skills carry over, 9 of which the big data archive librarian role treats as required.
What skills does a chief data officer need to become a big data archive librarian?
14 required skills are missing, plus 26 optional ones. They fall into 8 areas of the ESCO skill hierarchy, led by information skills. The single most important is digital curation.
How hard is the move from chief data officer to big data archive librarian?
Its learning distance is 67.3 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.
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.