Dynamic composite data dictionary to facilitate data operations via computerized tools configured to access collaborative datasets in a networked computing platform

1. A method comprising:

receiving data representing a dataset into dataset ingestion controller, the data being converted into an atomized dataset comprising a triple, the data also comprising an executable command to the atomized dataset to generate one or more results;

identifying a first data arrangement in which the data representing the dataset has a first format;

analyzing the triple associated with the data representing the dataset to determine a first subset of identifiers for subsets of data;

forming a first data dictionary including the first subset of identifiers for the subsets of data in the dataset;

formatting the dataset into a second data arrangement having a second format;

receiving the triple associated with the data originating at a data project user interface to link the dataset to another dataset, which is associated with a second data dictionary; and

forming a composite data dictionary including the first data dictionary and the second data dictionary using the one or more results generated by applying the executable command to the atomized dataset.

2. The method of claim 1 further comprising:

receiving data representing a request to import the another dataset into a data project;

associating the first set of identifiers of the dataset and the second set of identifiers of the another dataset in a data arrangement representing the data project; and

forming a combined dataset that is associated with the composite data dictionary.

3. The method of claim 1 further comprising:

determining whether to store data of the another dataset at a first computing device.

4. The method of claim 3 further comprising:

forming a link identifier to reference data of the another dataset locally;

storing the data of the another dataset in a data repository at the first computing device; and

implementing a dataset identifier in the composite data dictionary,

wherein the first computing device is disposed locally relative to a collaborative dataset consolidation system.

5. The method of claim 3 further comprising:

detecting linkage to a remote dataset at a second computing device;

forming a link identifiers to reference data of the another dataset remotely to identify a remote dataset; and

transforming a dataset identifier associated with the remote dataset into a local namespace;

wherein the second computing device is disposed externally relative to a collaborative dataset consolidation system.

6. The method of claim 5 further comprising:

implementing the dataset identifier in the composite data dictionary.

7. The method of claim 1 further comprising:

detecting activation of user input to form a query operation; and

detecting selection of a dataset identifier associated with the composite data dictionary, the dataset identifier referencing a subset of data in the another dataset.

8. The method of claim 7 further comprising:

determining the another dataset is disposed remotely to form a remote dataset.

9. The method of claim 8 further comprising:

determining a transformed link identifier is available; and

applying the query operation via the transformed link identifier against the remote dataset as an implicit federated query.

10. The method of claim 8 further comprising:

applying the query operation via a path identifier against the remote dataset as an explicit federated query.

11. The method of claim 8 further comprising:

generating a service graph call to access the remote dataset.

12. The method of claim 1 wherein formatting the dataset into the second data arrangement comprises:

converting the dataset into an atomized dataset having a graph data arrangement.

13. The method of claim 12 further comprising:

associating an identifier of the data dictionary to a subset of the atomized dataset.

14. The method of claim 12 wherein analyzing the data representing the dataset to determine identifiers for subsets of data comprises:

determining a subset of dataset attributes for a subset of the atomized dataset; and

deriving an annotation to form a derived annotation for the subset of the atomized dataset; and

forming the identifier as a function of the derived annotation.

15. The method of claim 14 wherein deriving the annotation comprises:

extracting data representing a column header associated with the first data arrangement; and

implementing the data representing the column header as an identifier.

16. The method of claim 13 wherein analyzing the data representing the dataset to determine identifiers for subsets of data comprises:

generating data representing a request for an identifier;

receiving data responsive to the request for the identifier; and

applying the data as the identifier.

17. An apparatus comprising:

a memory including executable instructions; and

a processor, responsive to executing the instructions, is configured to:

receive data representing a dataset into dataset ingestion controller, the data being converted into an atomized dataset comprising a triple, the data also comprising an executable command to the atomized dataset to generate one or more results;

identify a first data arrangement in which the data representing the dataset has a first format;

analyze the triple associated with the data representing the dataset to determine a first subset of identifiers for subsets of data;

form a first data dictionary including the first subset of identifiers for the subsets of data in the dataset;

format the dataset into a second data arrangement having a second format;

receive the triple associated with the data originating at a data project user interface to link the dataset to another dataset, which is associated with a second data dictionary; and

form a composite data dictionary including the first data dictionary and the second data dictionary using the one or more results generated by applying the executable command to the atomized dataset.

18. The apparatus of claim 17 wherein a subset of the instructions further causes the processor to:

receive data representing a request to import the another dataset into a data project;

associate the first set of identifiers of the dataset and the second set of identifiers of the another dataset in a data arrangement representing the data project; and

form a combined dataset that is associated with the composite data dictionary.

19. The apparatus of claim 17 wherein a subset of the instructions further causes the processor to:

determine whether to store data of the another dataset at a first computing device;

form a link identifiers to reference data of the another dataset locally;

store the data of the another dataset in a data repository at the first computing device; and

implement a dataset identifier in the composite data dictionary,

wherein the first computing device is disposed locally relative to a collaborative dataset consolidation system.

20. The apparatus of claim 17 wherein a subset of the instructions further causes the processor to:

form a link identifier to reference data of the another dataset locally;

store the data of the another dataset in a data repository at a first computing device; and

implement a dataset identifier in the composite data dictionary,

wherein the first computing device is disposed locally relative to a collaborative dataset consolidation system.