Lineage 2 For Mac Download
Jahed Stetter
I am looking to get a sense of the data lineage for all of our datasets/dataflows in an attempt to consolidate and properly organize. Is there a way get this in list form so I do not have to use the data lineage function in each dataflow individually?
There is a recently recent Connector called Domo Governance Datasets that will allow you to generate a Dataflow Details report. This creates a dataset with each of your dataflows, its input datasets, and its output datasets. You can then use this data to create cards or tables to view these relationships instead of using the visual lineage tool.
I do not know if this is intended behavior of data lineage but for me it is weird.
When I create a view based on two tables the data lineage upstream looks correct. But when I replace the view to only use one of the tables, then data lineage upstream still telling me that the view is based on the two tables.
When I read the documentation, it looks like data lineage is based on history for the view for the last 30 days, but a view does not work with history the same way as a table, so to me this is weird.
Can anyone give some more details on this strange behavior?
This is my script for testing this:
When I checked view defination under details after altering the view to depend only on table_1. I found that view defination was updated with latest view but it's not getting reflected in lineage graph.
Knowing where your data comes from is key to trusting the data, and knowing who else uses it means you can analyze the impact of changes to data in your environment. The lineage feature in Tableau Catalog helps you do both these things.
When you have a Data Management license and Tableau Catalog enabled, you have access to lineage information for your content. For more information about Tableau Catalog, see "About Tableau Catalog" in the Tableau Server(Link opens in a new window) or Tableau Cloud(Link opens in a new window) Help.
Lineage shows dependencies in relationship to the lineage anchor, which is the asset selected. A lineage anchor can be a database, table, workbook, published data source, virtual connection, virtual connection table, lens, metric, or flow. (In the image above, the anchor is the "Orders (superstore)"data source, and in the image below, the anchor is the "Batters" table.) All the assets below the anchor depend, either directly or indirectly, on the anchor and are called outputs or downstream assets. The assets above the anchor are the assets the anchor is either directly or indirectly dependent on and are called inputs or upstream assets.
Starting in Tableau Cloud June 2023 and Tableau Server 2023.3, lineage pages for data sources include search and filtering (in the top-right of the fields list) that allow you to quickly find fields of interest or relevance.
When you select a field in a data source or a column in a table, the lineage is filtered to show only downstream assets that depend on the field (or column) or upstream inputs to the field (or column), as in this 'Batters' table example that shows the lineage filtered for the 'Games' column:
You can select an upstream or downstream asset in the Lineage pane to see its details. For example, when you select Data Sources, the list of data sources that depend on this table appear to the left of the Lineage pane.
Cube data sources (also known as multidimensional or OLAP data sources) are not supported by Tableau Catalog. Tableau content (such as a data source, view, or workbook) that relies on cube data does not display any cube metadata or cube lineage in Catalog.
When metadata is blocked because of limited permissions, or the asset is in a Personal Space, Catalog still counts the workbook. But instead of seeing some of the sensitive metadata, you see Permissions required. For more information, see Access lineage information.
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Conversions of leukemic cell lineage (lymphoid or myeloid) have been reported only rarely. Our review of the cytochemical and immunophenotypic features of 89 cases of childhood leukemia in marrow relapse indicated lineage switch (lymphoid to myeloid or the reverse) in six patients (6.7%). Five patients with acute lymphoblastic leukemia (ALL) at diagnosis had converted to acute nonlymphoblastic leukemia (ANLL), and one had converted from ANLL to ALL. Each child received lineage-specific multiagent chemotherapy when initially diagnosed, and all achieved a complete remission. After conversion, four patients readily achieved second remissions with treatment for the phenotype evident at lineage switch. Two patients with ANLL at conversion failed ALL-directed reinduction, while one of the two responded to high-dose cytarabine but died during bone marrow hypoplasia, emphasizing the importance of prompt recognition of lineage switch and selection of an appropriate plan of retreatment. Cytogenetic studies disclosed evidence of clonal selection in one patient and clonal stability in two. These findings indicate an unexpectedly high frequency of lineage switch in patients who relapse in the bone marrow after intensive chemotherapy. Although specific causative factors could not be identified, our observations suggest at least two general mechanisms for lineage switch in acute leukemia. In one, chemotherapy appears to eradicate the dominant clone present at diagnosis, permitting expansion of a secondary clone with a different phenotype. In the second, drug-induced changes in the original clone may either amplify or suppress differentiation programs so that phenotypic shift is possible.
I'm new to working at SAS, but not working with SAS. I recently worked with a customer who had a need centered on the lineage of SAS Visual Analytics (SAS VA) reports. I found this great SAS Blog post Discover Visual Analytics Report Paths with REST APIs from my colleague @cindywang. Cindy's article was helpful in learning about making API calls for reports and folders. I used those calls, incorporated them into my SAS code, and extended the functionality to filter columns as needed. The purpose of this article is to outline what I did and provide access to the code I created and used.
You may ask yourself: what exactly do we use do we use lineage for? Consider the relationship between data and the data usage to better understand how they're affected by changing the underlaying source data. Also, most companies like to have an insight in when, how and where their data is used and even more important which data isn't used.
Therefore, we will build here a complete script to gather this information from the SAS VA. First, one needs to obtain and understand the information that explains dependencies. While column level lineage is researched and developed within SAS, a role out would probably need to wait until end of year. As an alternative one can use the SAS RA. Here I will explain how to create o the following report:
Using the REST API to collect report information and content has been a subject of many articles, such as how to access information via SAS VA. For instance use the code below to retrieve the content of a report:
The library assigned as rcontent in the above example contains certain tables depending which elements are used within a VA report. The general table BUSINESSITEMFOLDER_ITEMS is always available and lists the columns from source, or constructed in the report. To separate the source columns directly used from this list of columns we apply the following command:
Now that we filtered out the directly used columns, we are left with derived columns such as calculated items, custom category or even geographical items. Additionally, we also have the columns not used in the report. Here we will decide not to list these columns in the end result, but for certain purposes it might be interesting to add the derived columns. Instead, we will look at what source columns are used in these so-called derived columns by the use of the following table:
Using this information, we add the source columns that are used in the derived columns to our directly used source columns, with one exception. That is, the calculated columns because the these columns are mentioned as expressions, which we need to unravel to obtain the used source columns first. For each column we then record where it is used, so our report filters on calculate columns as an example. See the ITEMS_EXPRESSION table below with the expressions mentioned for each column.
While these will do for the purpose of this article, there are other similarity measures to considered. But we will use the most obvious ones. We do so by using the columns collected from the previous steps.
As seen above it is simple to collect the lineage from the server of VA reports. We saw that there needs a little understanding of were to find what and by gathering this information we were able to give a brief overview of the lineage collected.
For displaying network, graphs one is free to explore other similarities than were stated in this article. Additionally, the inclusion of the derived columns to the lineage creates a more informational result. Finally, the collection of information about the derived columns is another example to get more information from the SAS Viya Report REST API.
I have created a new project and all is working as expected. When I generate the docs and serve them, the lineage looks as I would expect on the documentation page, however there is no lineage in the editor. Looks blank like this :
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