FME by IT
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FME is a feature manipulation engine that can be used for crossing different databases and file formats, data validation and analysis, cleaning processes, geocoding, report generation, and synchronization processes. It supports over 367 data formats and can be used to clean data by standardizing fields, detecting patterns and errors, and loading results into various file formats and databases. The document provides examples of using FME to cross Excel, CSV, and database files, identify merged and unmatched records, clean address data by normalizing case and accents, and synchronize data between databases.
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FME by IT
- 2. FME – FEATURE MANIPULATION ENGINE
- 3. FME - Information Technology
- 4. Possibility of uses for IT Crossing different databases Crossing different types of files and databases Validation and analysis of results Cleaning processes Validations standards Process loads Geocoding Notifications Report generation Provision of services Synchronization processes Data export in different formats
- 5. Crossing different databases Based on Excel with São José dos Campos addresses Json file add addresses More than 367 formats available
- 6. Crossing different databases VIDEO DEMO CLICK HERE!
- 7. Databases crossing with errors Inconsistency at the intersection of database may happen in these cases, you can identify these points and treats them in a specific way, for example: Outputs: • Merger - Records that were found in the two bases; • Not Merged - no records found • Referenced / Unreferenced - unused records in both analyzed database. VIDEO DEMO CLICK HERE!
- 8. Crossing three databases Based on Excel with São José dos Campos addresses Database CSV with Jacarei addresses • Facility at the intersection of several databases. • Cross between tables and files. • Crossing by direct or composite key key. VIDEO DEMO CLICK HERE!
- 9. Problems with accents and standard Data analysis Streets and types without names • Pattern Identification. • Clerical errors. • Null attributes. • Different forms of writing. • Different data models. What to do
- 10. Data cleaning Problems found in the address base: • No pattern of uppercase and lowercase letters; • accent errors; • Full address is required for the division: • Title; • Address; • City; • State; Before After
- 11. • No pattern of uppercase and lowercase letters; • Accent errors; Data cleaning VIDEO DEMO CLICK HERE!
- 12. Validation of data • Nulls addresses; • Validation type of addresses, for example, Avenue Road, etc ... VIDEO DEMO CLICK HERE!
- 13. Standardization • Full address is required for the division: • Title; • Address; • City; • State; VIDEO DEMO CLICK HERE!
- 14. Data load The results of operations can be recorded more than 367 formats supported by FME • Database • Files • services
- 15. The results will be stored in Postgres Data load VIDEO DEMO CLICK HERE!
- 16. Process base synchronism FME allows after the completion of loading, the timing between the bases with the help of some Transformers. • Change Detector • Sql Executor • Matcher • FeatureMerger Specific functions of the Reader and Writer, assist in sync process • Sql after and Before the translation; • Where clause; • Mode operation;