Profession data warehouse designer

Data warehouse designers are responsible for planning, connecting, designing, scheduling, and deploying data warehouse systems. They develop, monitor and maintain ETL processes, reporting applications and data warehouse design.

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Personality Type

  • Investigative / Conventional

Knowledge

  • ICT security legislation

    The set of legislative rules that safeguards information technology, ICT networks and computer systems and legal consequences which result from their misuse. Regulated measures include firewalls, intrusion detection, anti-virus software and encryption.

  • Web programming

    The programming paradigm that is based on combining markup (which adds context and structure to text) and other web programming code, such as AJAX, javascript and PHP, in order to carry out appropriate actions and visualise the content.

  • 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 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.

  • Database

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

  • Data warehouse

    The data storage system that analyses and reports on data such as a data mart.

  • Query languages

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

  • Database management systems

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

  • Information structure

    The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.

  • Systems theory

    The principles that can be applied to all types of systems at all hierarchical levels, which describe the system's internal organisation, its mechanisms of maintaining identity and stability and achieving adaptation and self-regulation and its dependencies and interaction with the environment.

  • Business process modelling

    The tools, methods and notations such as Business Process Model and Notation (BPMN) and Business Process Execution Language (BPEL), used to describe and analyse the characteristics of a business process and model its further development.

Skills

  • Manage standards for data exchange

    Set and maintain standards for transforming data from source schemas into the necessary data structure of a result schema.

  • Develop automated migration methods

    Create automated transfer of ICT information between storage types, formats and systems to save human resources from performing the task manually.

  • Assess ICT knowledge

    Evaluate the implicit mastery of skilled experts in an ICT system to make it explicit for further analysis and usage.

  • Migrate existing data

    Apply migration and conversion methods for existing data, in order to transfer or convert data between formats, storage or computer systems.

  • Create data sets

    Generate a collection of new or existing related data sets that are made up out of separate elements but can be manipulated as one unit.

  • Use markup languages

    Utilise computer languages, that are syntactically distinguishable from the text, to add annotations to a document, specify layout and process types of documents such as HTML.

  • Apply ICT systems theory

    Implement principles of ICT systems theory in order to explain and document system characteristics that can be applied universally to other systems

  • Manage database

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

  • Analyse business requirements

    Study clients' needs and expectations for a product or service in order to identify and resolve inconsistencies and possible disagreements of involved stakeholders.

  • Operate relational database management system

    Extract, store and verify information using database management systems based on the relational database model, which arranges data into tables of rows and columns, such as Oracle Database, Microsoft SQL Server and MySQL (Oracle Corporation).

  • Design database scheme

    Draft a database scheme by following the Relational Database Management System (RDBMS) rules in order to create a logically arranged group of objects such as tables, columns and processes.

  • Define technical requirements

    Specify technical properties of goods, materials, methods, processes, services, systems, software and functionalities by identifying and responding to the particular needs that are to be satisfied according to customer requirements.

  • Create database diagrams

    Develop the database design models and diagrams which establish the structure of a database by using modelling software tools to be implemented in further processes.

  • Create software design

    Transpose a series of requirements into a clear and organised software design.

  • Write database documentation

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

Optional knowledge and skills

objectstore mysql python ruby ict project management methodologies haskell vbscript sas language computer programming agile project management xquery ldap apl ajax n1ql lisp coffeescript microsoft access ca datacom/db microsoft visual c++ javascript c++ visual basic db2 postgresql sql server use access control software typescript build business relationships asp.net define database physical structure unstructured data product data management design database backup specifications ml sap r3 oracle relational database perform data analysis filemaker teradata database abap assembly openedge advanced business language cobol process-based management common lisp lean project management groovy objective-c erlang swift java ibm informix prolog perl pascal matlab linq openedge database develop reporting software c# apply technical communication skills design user interface scala scratch r data models mdx perform resource planning respond to customers' inquiries sparql smalltalk php

Common job titles

  • Reporting & analytics architect - part-time
  • Sap bi/bw analyst
  • Business intelligence analyst
  • Database designer
  • Jr. shipping clerk
  • Bi & data warehouse analyst
  • It data specialist (data modeler)
  • Data modeler/database developer
  • Business intelligence developer
  • Etl pl/sql developer