Database access language.The DBMS must also provide an API to access the data, typically in the form of a database access language that can be used to modify data but also create database objects and secure and authorize access to the data. SQL is an example of a database access languag...
Data abstraction and query processing techniques are usually studied in the domain of administrative applications. We present a case-study in the non-standard domain of (multimedia) information retrieval, mainly intended as a feasibility study in favor of the 'database approach' to data management....
The mediator layer performs the core function of data transformation and integration and communicates with the wrappers and the user application layer. The integration system provides an internal common data model for abstraction of incoming data derived fromheterogeneous datasources. Thus, the internal ...
Access Google Data Catalog from BI, analytics, and reporting tools, through easy-to-use drivers. Our Drivers make integration a snap, providing an easy-to-use relational interface for working with Google metadata management services.
repository as they're made, while the latter integrates streams of real-time data on a continuous basis. Data virtualization is another integration option; it uses an abstraction layer to create a virtual view of data from different systems instead of physically loading the data into a data ...
The speed layer, though, often requires a non-trivial amount of effort. Fortunately, there are many new technologies that can help with that as well. One of the most commonly chosen ones isApache Stormwhich uses an abstraction ofspoutsandboltsto define data sources and manipulations of them, ...
The mediator layer performs the core function of data transformation and integration and communicates with the wrappers and the user application layer. The integration system provides an internal common data model for abstraction of incoming data derived fromheterogeneous datasources. Thus, the internal ...
GNATColl organizes the API into several layers, each written on top of the previous one and providing more abstraction. All layers are compatible with each other and can be mixed inside a given application. low-level binding. This API is DBMS-specific, and is basically a mapping of the C ...
Iceberg, on the other hand, is atable format for large-scale analytics data sets. It provides an abstraction over data files (like Parquet, ORC, Avro) to manage data at the table-level while enabling advanced features for modern data lake architectures. ...
Rowe, et al., “Data Abstraction, Views and Updates in Rigel”, Proceedings of the 1979 ACM SIGMOD International Conference on Management of Data, pp. 71-81, 1979. Graefe, DataCube: An Integrated Data and Compute Server Based on a Hypercube-Connected Dataflow Database Machine, Oregon Gradua...