OLE DB is an open specification designed to build on the success of ODBC by providing an open standard for accessing all kinds of data. OLE-DB is the Microsoft strategic system-level programming interface to data across the organization. ADO is easy to use because it uses a familiar metaphor-the COM automation interface, available from all leading Rapid Application Development (RAD) tools, database tools, and languages on the market today. ADO is implemented minimal network traffic in key scenarios, and a minimal number of layers between the front end and data source-all to provide a lightweight, high-performance interface. The primary benefits of ADO are ease of use, high speed, low memory overhead, and a small disk footprint.ĪDO provides an easy-to-use interface to OLE DB, which provides the underlying access to data. ADO is designed to be the one data interface needed for single and multi-tier client/server and Web-based data-driven solution development. ADO provides consistent, high-performance access to data and supports a variety of development needs, including the creation of front-end database clients and middle-tier business objects that use applications, tools, languages, or Internet browsers. These components include Microsoft ActiveX Data Objects (ADO), OLE DB, and Open Database Connectivity (ODBC).ĪDO is the strategic application programming interface (API) to data and information. Data-driven client/server applications deployed over the Web or a LAN can use these components to easily integrate information from a variety of sources, both relational (SQL) and non relational.

The Microsoft Data Access Components (MDAC) are the key technologies that enable Universal Data Access. I am not sure how to convert it in a `SELECT TRANSFORM Query`.What are the Microsoft Data Access Components? Someone suggested to convert the `TextValue` field IN `File2.csv` containing long text (not greater than 80-100 characters) as a `MEMO field`.Initially i thought it could be spaces in the filepath, but i have found a solution of enclosing filepath in `back-ticks`, which handles filepaths with spaces, if using the `Microsoft Access Text Driver` to join files.Initially i thought it could be that the filepath length may be > 255 characters, but that is not the case.I tried changing the ODBC driver connection string to `SQL ACE Engine`, but still the same.I tried replicating scenario by choosing the `Microsoft Access Text Driver` and importing the 2 csv files in `MSQuery`, then running the `Transform query`, but got the same `Record is too Large` error.If i run the same query in `MSAccess`, it works fine even with one of the files having 60 rows.I saw that if i tried reducing the number of rows in one of the files from 60 rows to 30 rows, it works!.

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