Data Profiling

Business intelligence Amount and quality of available data 1 Before implementation it is a good idea to do data profiling

Business intelligence Amount and quality of available data 1 Data Profiling: check inappropriate value, null/empty

Data quality - Overview 1 Data profiling - initially assessing the data to understand its quality challenges

Extract, transform, load - Challenges 1 The range of data values or data quality in an operational system may exceed the expectations of designers at the time validation and transformation rules are specified. Data profiling of a source during data analysis can identify the data conditions that must be managed by transform rules specifications. This leads to an amendment of validation rules explicitly and implicitly implemented in the ETL process.

Extract, transform, load - Virtual ETL 1 By using a persistent metadata repository, ETL tools can transition from one-time projects to persistent middleware, performing data harmonization and data profiling consistently and in near-real time.

Extract, transform, load - Tools 1 Many ETL vendors now have data profiling, data quality, and metadata capabilities

Data profiling 1 Data profiling is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to:

Data profiling - Introduction 1 Thus the purpose of data profiling is both to validate metadata when it is available and to discover metadata when it is not

Data profiling - How to do Data Profiling 1 Normally purpose-built tools are used for data profiling to ease the process

Data profiling - When to Conduct Data Profiling 1 An additional time to conduct data profiling is during the data warehouse development process after data has been loaded into staging, the data marts, etc

Data profiling - Benefits of Data Profiling 1 Although data profiling is effective, then do remember to find a suitable balance and do not slip into “analysis paralysis”.

Surveillance - Data mining and profiling 1 Data profiling can be an extremely powerful tool for psychological and social network analysis

Prototype - Data prototyping 1 To achieve this, a data architect uses a graphical interface to interactively develop and execute transformation and cleansing rules using raw data. The resultant data is then evaluated and the rules refined. Beyond the obvious visual checking of the data on- screen by the data architect, the usual evaluation and validation approaches are to use Data profiling software and then to insert the resultant data into a test version of the target application and trial its use.

Data loading - Virtual ETL 1 By using a persistent metadata repository, ETL tools can transition from one-time projects to persistent middleware, performing data harmonization and data profiling consistently and in near-real time.

Angoss - Software 1 * KnowledgeSEEKER is a data mining product. Its features include data profiling, data visualization and decision tree analysis.[ p?si=317id=132anzeige=Angoss%20Prod ucts COMSOL ONLINE - ANGOSS - Knowledge Engineering] It was first released in

Angoss - Software 1 * KnowledgeSTUDIO is a data mining and predictive analytics suite for the model development and deployment cycle. Its features include data profiling, data visualization, decision tree analysis, predictive modeling, implementation, scoring, validation, monitoring and scorecard development.

Integration competency center - Central services ICC 1 It also offers more support for development projects, providing management, development resources, data profiling, data quality, and unit testing

IBM Infosphere - IBM InfoSphere software 1 * IBM InfoSphere Information Analyzer [ 01.ibm.com/software/data/infosphere/infor mation-analyzer/ IBM - Data Profiling, Data Rules and Quality Monitoring - InfoSphere Information Analyzer - Software] to profile and track data quality

Talend - Data management 1 * Talend Open Studio for Data Quality: an open source data profiling tool that examines the content, structure and quality of complex data structures

Oracle Warehouse Builder - Features 1 Further it offers capabilities for Relational model|relational, Dimensional modeling|dimensional and metadata modeling|metadata data modeling, data profiling, data cleansing and data auditing

Oracle Warehouse Builder - History 1 The 10gR1 release was essentially a certification of the 10g database, and the 10gR2 release (code named Paris) was a huge release incorporating a wide spectrum of functionality from dimensional modelling to data profiling and quality

Data quality assurance 1 'Data quality assurance' is the process of Data profiling|profiling the data to discover inconsistencies and other anomalies in the data, as well as performing data cleansing activities (e.g. removing outliers, missing data interpolation) to improve the data quality.

Data quality assurance - Overview 1 #Data profiling - initially assessing the data to understand its quality challenges

Data movement - Virtual ETL 1 By using a persistent metadata repository, ETL tools can transition from one-time projects to persistent middleware, performing data harmonization and data profiling consistently and in near-real time.

Jumper Features 1 * User published data profiling

Information Server - Architecture overview 1 :*Understand — data profiling and metadata creation to understand the content, quality, and structure of information as it resides in source systems

Information Server - History 1 The core technologies of an information server are not new. Data integration technologies like extract, transform, and load (ETL), data cleansing and matching (both relational and probabilistic approaches), data profiling, and data federation or replication have been around for many years. Reputable vendors and several discrete but inter-related markets focus on solutions for these differing styles of data integration (ETL, data quality, data replication, data federation, etc.).

Covert surveillance - Data mining and profiling 1 Data profiling can be an extremely powerful tool for psychological and social network analysis

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