Profession big data archive librarian

Big data archive librarians classify, catalogue and maintain libraries of digital media. They also evaluate and comply with metadata standards for digital content and update obsolete data and legacy systems.

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Personality Type

  • Realistic / Investigative

Knowledge

  • Business intelligence

    The tools used to transform large amounts of raw data into relevant and helpful business information.

  • Data extraction, transformation and loading tools

    The tools for integration of information from multiple applications, created and maintained by organisations, into one consistent and transparent data structure.

  • Database development tools

    The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.

  • Query languages

    The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.

  • Resource description framework query language

    The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).

  • Database

    The classification of databases, their purpose, terminology, characteristics, models and use such as document-oriented databases, XML databases and full text databases.

  • Database management systems

    The tools for creating, updating and managing databases, such as Oracle, MySQL and Microsoft SQL Server.

  • Data models

    The techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships.

Skills

  • Analyse big data

    Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.

  • Maintain data entry requirements

    Uphold conditions for data entry. Follow procedures and apply data program techniques.

  • Maintain database performance

    Calculate values for database parameters. Implement new releases and execute regular maintenance tasks such as establishing backup strategies and eliminating index fragmentation. Evaluate hardware products and operating systems.

  • Manage content metadata

    Apply content management methods and procedures to define and use metadata concepts, such as the data of creation, in order to describe, organise and archive content such as documents, video and audio files, applications and images.

  • Comply with legal regulations

    Ensure you are properly informed of the legal regulations that govern a specific activity and adhere to its rules, policies and laws.

  • Manage ICT data classification

    Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.

  • Manage data

    Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.

  • Manage database

    Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.

  • Maintain database security

    Master a wide variety of information security controls in order to pursue maximal database protection.

  • Manage archive users guidelines

    Establish policy guidelines on public access to a (digital) archive and the cautious use of present materials. Communicate the guidelines to archive visitors.

  • Manage digital archives

    Create and maintain computer archives and databases, incorporating latest developments in electronic information storage technology.

  • Write database documentation

    Develop documentation containing information about the database that is relevant to end users.

Optional knowledge and skills

visual presentation techniques postgresql pentaho data integration statistics integrate ict data information structure mysql openedge database design database scheme teradata database develop ict workflow db2 ibm infosphere information server qlikview expressor oracle warehouse builder give live presentation design database backup specifications manage data collection systems monitor technology trends sap data services xquery sql server integration services ibm infosphere datastage sql server sparql objectstore ca datacom/db microsoft access ibm informix informatica powercenter ldap filemaker (database management systems) information confidentiality linq apply information security policies mdx oracle relational database migrate existing data n1ql normalise data data quality assessment perform backups digitise documents oracle data integrator