Supports in pipeline architecture and development using one of the tools such as Azure ADF, AWS Glue, SSIS, DataBricks (multiple preferred) Identifies technologies commonly used with Maximo, including web services (SOAP, RESTful APIs), XML, JSON, and other relevant data exchange formats Showcases understanding in SQL and database querying languages to extract and manipulate data from source systems along with understanding ETL tools and methodologies commonly used in Maximo data conversion Supports in designing and implementing data extraction, transformation, and loading processes for Maximo data conversion Identifies relational databases, preferably experience in working with databases commonly used in Maximo, such as IBM DB2, Oracle, Microsoft SQL Server, along with familiarity with Maximo's Integration Framework (MIF) and its capabilities for data integration and conversion Leads Maximo's modules and functionalities related to Asset Management and Work Order Management and IBM Maximo, including its data structures, configuration settings, and integration capabilities Supports in data analysis techniques to assess source data structures, identify mapping requirements, and define transformation rules for data conversion into Maximo
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |