Data Language Interface (DLI) is a programming interface used for accessing IBM's Information Management System (IMS) databases. It allows applications to perform various database operations such as retrieving, inserting, updating, and deleting records within IMS databases. DLI provides a set of APIs that facilitate interaction with hierarchical data structures, enabling efficient data management and retrieval.
About Data Language Interface
Data Language Interface (DLI) was developed by IBM in the 1960s to provide a method for accessing and managing data stored in IMS databases. It was created to support the Apollo space program, which required efficient handling of large volumes of data. DLI allowed applications to interact with hierarchical database structures, enabling complex data retrieval and manipulation tasks that were essential for mission-critical operations.
Strengths of Data Language Interface included efficient handling of hierarchical data structures, robust transaction management, and strong support for high-volume data processing. Weaknesses comprised complexity in usage, limited flexibility with non-hierarchical data models, and steep learning curve. Competitors included SQL-based relational database management systems (RDBMS) like Oracle Database, Microsoft SQL Server, and IBM's own DB2, which offered more flexibility and simpler query languages for various types of data.
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How to hire a Data Language Interface expert
A Data Language Interface expert must have strong proficiency in IMS database management, including knowledge of hierarchical data structures and DLI API functions. They should be skilled in COBOL or PL/I programming languages commonly used with DLI. Expertise in transaction processing, batch processing, and real-time data handling within IMS environments is essential. Familiarity with JCL (Job Control Language) for executing DLI programs on mainframes is also critical.
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