Advertising cookies track activity across websites in order to understand a. However, there are ways to constrain blends using filters and calculated filters. even though there are some solutions like filter actions,parameters to overcome this limitation still these solutions might not solve our issues in some scenarios. If the secondary table has a large amount of data then data blending may be faster, because data blending will aggregate the data first. . Unlike a join, where you would have what you describe as expected outcome, with data blending you have some limitations, e. This means that if you have a field with two values 0 and 1 in a table with 100 rows, this function will return the value 2, unlike COUNT. Non-additive aggregates are aggregate functions that produce results that cannot be aggregated. Select Top 10 and Tableau will present the output. Instead, publish each data source separately (to the same server) and then blend the published data. Data Blending. Practice Questions and other digital productsPart 1 Tableau Blend - In this multi-part series, we will explain and demo the dif. there is only one record for each value in the linking fields in each table). The limitations of data blending are: Data blending may result in some missing data from the secondary data source. Cube data sources are used as primary data sources for data integration in Tableau and cannot be used as secondary data sources. "Month_Code" in Table 2 is not linked. You will make a remarkable impact and get the most valuable insights from your data sources. Save a data source (embedded in a published workbook) as a separate, published data source. Step 1: Go to public. The second class, taught on Thursday and Friday, was steeped with. Tableau Data Blending Limitations. Being able to efficiently collect and combine those data has become an essential skill for all Data Scientists…Occasionally when working in Tableau, you will have to perform a function called data blending, which involves compounding data from different sources. Blended data cannot be published as a unit so the data must be published separately. Option 2. I am using blending and created Relationship but i am having problem in terms of getting distinct count from one of the data sources. If the secondary data source has LOD (have different granularity), they are taken down after data blending. The actual data set I use is huge and a join is too slow. Blend published data sources. This means that Tableau Data Extracts are not usable if you’re needing “real-time” data in your Tableau viz. But since there are a few dates missing from the second data source i cannot blend on date as doing this will result in loosing data from Table 1. His articles have showcased the potential promise—and limitations—of data blending. Although they do offer data blending functionality, in practice, it's rather difficult to set up and debug. Now I want to calculate similar type of total percetange based on a dimension. Ability to use different types of join (left join, right join, inner join and full outer join) Uses only left join. After some research, I have learned that using a LOD on blended data isn't possible. Table joins are better when tables have a 1:1 relationship (i. Some of these limitations are: Tableau does not support nonadditive aggregates such as Median, RaqSQL. Blend using COUNTD (Red tab) I know this is a limitation in tableau as I'm unable to switch from SUM (Case Number) to CNTD (Case Number). You define relationships based on matching fields, so that during analysis, Tableau brings in the right data from the right tables at the right aggregation—handling level of detail for you. When you blend the two data sources on the State field, you create a link where individual state values (in the primary data source) can have multiple segment values (in the secondary data source). A blend merges the data from two sources into a single view. Hello Guys, I have using multiple data sources. The limitations of data blending largely lie with the ETL solution you choose. Tableau text table displaying data from all the three tables. When blending product, you amalgamate datas from a seconds data source and display it alongside data starting a basic data source in a display (i. Below mentioned are the areas where Data blending is used. In order to create a join between data tables, we need to open the data source tab inA data policy is applied and filters the data when it's viewed in the Tableau content (for example, a workbook or flow). Publishing the blended data source is complicated. Date dimensions: For cube data sources, date dimensions are typically organized into hierarchies that contain levels such as year,. Data blending brings in additional information from a secondary data source and displays it with data from the primary data source directly in the view. This is the reason it has gained the top position in data visualization tools. Everyone tells blend it is for different data sources but I can see even cross join can be used to join different data sources. Calculated field does not appear in the Field drop-down list of the Sort dialog box when the calculated field uses data blending; Tableau Data Blending Limitations & Rules. It's free to sign up and bid on jobs. Following are a list of few limitations of using Data Blending in Tableau. Extract files are the local copy of the data source that you can use to make. I am trying to 'blend' the two published data sources (instead of joining them as they are at different grain and join will not be a good solution and will create lots of dup records). Note: The fields present in the data source are also shown in the above image. Search for jobs related to Tableau data blending limitations or hire on the world's largest freelancing marketplace with 22m+ jobs. JimIf you need to combine two data sources and for whatever reason cannot manage to join the data outside of Tableau, your only option is a data blend. On the second dataset is added, you can preview both datasets added in the data section. You’ll notice that a number of the connection types are grayed out. 6. Let's dive into some tableau limitations: 1. e. Nowadays, companies use data from different sources to solve their business problems. Last updated on Nov 07, 2023 by Gayathri Tableau Data Blending - Table of Content What is data blending in Tableau How is data blending different from Data joining Working of. Or it can be more complex, with multiple tables that use different. If the secondary table has a large amount of data then data blending may be faster, because data blending will aggregate the data first. Option 1: Use extract refresh to update hyper files on Tableau Server side instead of publishing hyper files from the outside of Tableau Server. The resultant visualization will be as shown below. Pros: Easy to use: Tableau Public has a user-friendly interface that makes it easy to create compelling visualizations even if you have no prior experience with data analysis. CSS ErrorTableau Data Blending Limitations. Data blending is particularly useful when the blend relationship—the linking fields—need to vary on a sheet-by-sheet. Tableau v8 introduced a new style of data blending. even though there are some solutions like. TDEs are by definition not a live connection to the source. Any time data blending is in action tableau will be querying multiple datasets. EXTRACT. You can set the following capability customizations in the Tableau Datasource Customization (TDC) file to define which Tableau capabilities are supported by the ODBC connection. Here is an example of a JSON file as a data source using Tableau Desktop on a Windows computer: Select schema levels. The order matters when trying to blend data with different granularity. Tableau has an ability to blend data. The limitations to DB are: There are some data blending limitations around non-additive aggregates, such as COUNTD, MEDIAN, and RAWSQLAGG. Explain what the file extensions in the tableau are. Tableau Performance Optimization. Hi All, We are in a phase to decide whether to buy Tableau Server(9. But Tableau Prep has major limitations as you can see in our comparison guide of Datameer and Tableau Prep, particularly for data science datasets. 4. of rates and orders for the given months which is resulting in the correct value and using. At first, try a simple join. Select the "Measure" option. It is used for data analysis to finally help draft plans or. Just my POV - I avoid blending unless it is absolutely necessary - and the inability to filter across blended data is only one of the reasons If the country state issue is the only reason you have blended I would consider adding another file that is simply the country - state cross reference and joining all 3 togetherLoading. Data Blending is performed sheet-by-sheet by setting up a field from the subsequent information source in the view. Tableau Desktop allows you do to very basic preprocessing. If so, then there are over 30 different listed data source connection types in Tableau Pro however this is a bit confusing because some of these connection types are things such as "ODBC" or "OData" which could include other data base types while relying on connection specific definitions configured by the end user. Hope this helpsBlending will limit the functionality available to you in Tableau - cant us LOD - no filtering across the data sources - the data from the secondary source are aggregated at the level of the link . Data has to be maintained at the same level of granularity. Limitations of Data Blending in Tableau: The following is a list of a few restrictions on using Data Merge in Tableau. any enhancements on data blending in Tableau. In some cases, Tableau is able to solve many use cases using the data blending technique. Option 3: Add the memory of Tableau Server machine. You need to publish each data source and then blend the published data source. This guide to Tableau data blending covers: Tableau data blend vs a join Data blending best practice How to blend data in Tableau Limitations. Although Data Blending in Tableau can be a vital asset to your organization, it has a. Limitations Data blending is the equivalent of a left outer join, sort of. Correct to: Display Cloud, Tableau Desktop, Tableau Server. Expand Post. There are several ways to handle both data tables in Tableau. See Join Your Data - Tableau The only issue with joins is potentially duplicate data (which can be fixed, see Removing Duplicate Data with LOD Calculations) and after that you're golden. Blend on Summary Data. Nor does it enforces row or size limitations. Using Data Blending, you may have tried to achieve relative date filtering relative to the maximum date in the data. Despite the advantages of data blending, it also has some downsides, as shown below: Data blending works with the left join under the hood, and it does not perform any other types of joins. Data blending in Tableau is the operation of combining multiple data sources into the same view by finding common fields between them to join on. The Two Types of Self-Service Data Preparation Tools. They must be in the same format. This allows Tableau the greatest flexibility for optimization. This allows businesses to avoid using third party tools and applications to connect and source data from various enterprise systems. , a visualization). This behavior appears as if the blend is acting as an INNER ad-hoc join rather than a LEFT ad-hoc join. Hi there. Because Tableau handles combining the data after it is aggregated, there is less to combine. It matters which sheet a shared filter is added from. Joining: When you are working with one data source, then you are joining the data onto a common field. If the tables have a 1:many or many:many relationship this creates. In addition, some data sources have complexity limits. When using a single data set everything on the view is represented by a single VizQl query. Switch between data connections in the Left pane, then drag out the desired table to the canvas and release it. Manipulate your data. For example, if your data is refreshed on a weekly basis, computing the year to date totals according to the maximum date. Dashboarding tools like Tableau, Looker Studio, and Power BI are great for. we have to crate a relationship between the tables. Data Blending — Tableau recommends blending data on low-granularity dimensions. The resultant visualization will be as shown below. Some of these limitations are: Tableau does not. If your next table is from another data source entirely, in the left pane, under Connections, click the Add button ( in web authoring) to add a new connection to the Tableau data source. Option 2: Reduce the size of the extracts (. In our case, we will be connecting to an Excel dataset. Example: "Tableau is a powerful tool that offers advanced data visualization, data filtering and data blending features. JSON file data source example. Any limit, both physical and theoretical, is determined by a large number of factors including, but not limited to, the following: Hardware resources, such as RAM, CPU, and disk space. . 2) DB2 blending doesn't support non-additive aggregates like COUNTD() from secondary sources. An excellent platform will know how to recognize corrupted and. Or it can be more complex, with multiple tables that use different. Definition : “Unlike joins, data blending keeps the data sources separate and displays their information together”. Tableau Steps On Data Blending. The workbook contains two data source one is primary data and other is product lookup blended by the common field CODESearch for jobs related to Tableau data blending limitations or hire on the world's largest freelancing marketplace with 21m+ jobs. Applies to: Tableau Cloud, Tableau Desktop, Tableau Server. Click on the average option in the drop-down. For more information, see Alias Field Values Using Data Blending. MahfoojFigure 5: Data-Blending Tableau 9. Select Analysis > Create Calculated Field. Limitations of Blending. User functions are often used to limit access to users or groups. Data preparation and blending features are found in two types of self-service tools: Visual analytics platforms such as Tableau, Qlik Sense, Spotfire etc. When we do this using Tableau’s data blending – the steps that are happening are (see the Tableau video to see HOW to do this): 1. Are there any limitations to data blending in Tableau? While data blending in Tableau is powerful, it does have certain limitations. The data that is obtained by the Context filter will be subject to all other filters because it is an independent filter. Soporte prémium; Aprendizaje y certificaciones;Step 3: Use the LOD expression in the visualization. can I make dashboard with 6 different source by using data blending option in tableau?. blends joins new data model noodle relationships Tableau Tableau 2020. Click Extract. Blend using AVG (Green tab)You can think of a data model as a diagram that tells Tableau how it should query data in the connected database tables. Use a blend when: You want to combine measures or dimensions with the same meaning but different names in each table. After some research, I have learned that using a LOD on blended data isn't possible. The latest version of Tableau, 2020. The problem is, that the performance is bad, because you have to retrieve all the data from the BW query, then blend it, and then filter it. When blend data, them merge data from adenine secondary data source and display itp alongside data from a primary data source with a see (i. Or it can be more complex, with multiple tables that use different. The main difference between the two is when the aggregation is performed. com and enter your e-mail address and click “ Download the App “. Methods of Combining Data: Overview . I want to combine them so that I can show interactivity between the data from these multiple stored procedures. Tableau's data blending (which hasn't seen much for new development since 2014/15) has some built-in limitations: The non-additive aggregate functions COUNTD(), MEDIAN(), and PERCENTILE() can only work when a) all the linking dimensions are in the view and b) there are no secondary source dimensions used in the view or on Filters. Functional cookies enhance functions, performance, and services on the website. Note: The fields present in the data source are also shown in the above image. Here is the issue: We must create a table which uses information coming from the primary and the secondary data sources at the same time. Loading. 1. However, my end user wants me to get the data accurately for the given disjointed data sets. Go through the link for more details. Here are the tableau data blending limitations: While combining large amounts of data some information might get missed out. I’ll provide some. This saves effort and time for businesses. This includes joining and blending data. Both of sales and purchases data are aggregated by Month, Type, and Color. Data joining is when you perform tasks with multiple tables or views from the same source (e. Because Tableau handles combining the data after it is aggregated, there is less to combine. In that spirit, consider accessing the workbook associated with this chapter and referencing the Sales. You can use data blending when you have data in separate data sources that you want to analyze together on a single sheet. This should explain why when you are using the SUM aggregation it works. However, data cleansing is a necessary step. Cross-Database Join functionality will allow us to cross data between different data sources and types in an easier and more intuitive way (avoiding those painful asterisks when using Data-Blending). With that, you will now head to the next type of LOD Expressions in Tableau, which is the EXCLUDE LOD Expressions in Tableau. 7 MB of data is expected to attain. Beyond that personally I tend to do the work necessary to avoid using data blending in production data sources & views. Expand Post. When you publish a data source, consider these best practices: Create the connection for the information you want to bring into Tableau and do any customization and cleanup that will help you and others use the data source efficiently. The resultant visualization will be as shown below. For details, see Troubleshoot Data Blending. Blends and inherited filters. Create a user filter and map users to values manually. Unlike an ordinary join, which combines data sources at the lowest granularity before any aggregation is done, a data blend can join data sources after aggregation is performed on the individual sources; ultimately limiting the number of records that. I spent too many lunch breaks, wondering if my blend (or query) would be complete when I returned to my desk. The rule that we’ll cover today is: “ Limit custom SQL in live connections as they can be inefficient. They cannot be used as secondary data sources. As an example, consider the Sales data is present in a relational database and Sales Target data in an Excel spreadsheet. e. From the Data pane, under Measures shelf, drag the field Sales Per Customer from the Rows shelf and drop it on the left of field SUM (Sales). CSS ErrorTableau Data Blending Limitations. Instead, publish each data source separately (to the same server) and then. You could perform a Cross DB join and use that as a primary data source in a data blend. And that depends on RAM. how many tables we can blend by using data blend option in tableau. April 21, 2020. Data blending will allow you to link the 2 tables together but when you try to bring data from the secondary source to the primary it will come across as an aggregate at the level of the link - and it will limit the functionality available to you in Tableau - can't filter across the blended data sets , no LODs using the secondary source to name a fesUsing a data source that has multiple, related tables affects how analysis works in Tableau. Data Blending Compared to Join - Use Case. Poor Versioning. The Dataslayer add-on is a reporting tool for your online PPC/SEM marketing. In some cases Tableau will require you to create a data extract from the data returned by the ODBC connector. Learn to analyze and visualize data in Tableau through real-life datasets in Tableau 2022 A-Z: Hands-On Tableau Training for Data Science. Data blending is an method for connect data from multiple sources. In the same way, data blending features in Tableau also have some limitations. There are a few workarounds:. Data blending within a data pipeline would be done in one of three ways: As a middle or intermediate step within an ETL data pipeline before the data is loaded, As one of the final steps within an ELT data pipeline after the source data has been loaded, or2. Data blending has some limitations regarding non-additive aggregates such as COUNTD, MEDIAN, and RAWSQLAGG. See Fill Gaps in Sequential Data for directions; Notes on Option 4 (data blending): Data blending has many limitations. A secondary data source can be used to re-alias the field values in a primary data source. Tableau Performance Optimization. There are some data blending limitations around non-additive aggregates, such as COUNTD, MEDIAN, and RAWSQLAGG. Some of the data blending limitations are covered below. Excess worksheets on a dashboard can impact performance. Usually you use joins to perform this kind of data combining, but there are times, depending on factors like the type of data and its. This creates a data source. With data blending, the linking field from the primary data source must be in the view before you can use a Level Of Detail expression from the secondary data source. If the score is within this range, we color the result as. There are few limitations of Tableau data blending around non-additive aggregates like RAWSQLAGG and MEDIAN. It's free to sign up and bid on jobs. If you are experiencing that issue, I recommend opening a support case so that we can investigate it. The first database used is the primary data source, and this defines the view in Tableau. There are some data blending limitations around non-additive aggregates, such as COUNTD, MEDIAN, and RAWSQLAGG. In Tableau version 7 and earlier, “Data Blending 1” was based on three factors:. Prototyping how data should be modeled and brought into a data warehouse in order to meet report and visualization needs. Data aggregation jeopardises the speed of query performance with high granularity. When. When to Substitute Joining for Blending. Data Blending compromises the query’s execution speed in high granularity. You can see aggregations at the level of detail of the fields in your viz. Connect your data to your account. Power BI can handle a limited volume of data. If your tables do not match correctly after a join, you should set up the data sources for each table, make any necessary customizations ( renaming columns, changing column data types, creating groups, using calculations, etc. This is hack-y, but it works: Create a calculated field based on the measure that would return the right alphanumeric sort, such as -SUM ( [Sales]) for a descending sum of Sales, then put that as a Discrete (blue) pill to the left of the dimension you want to sort, and finally turn off Show Headers for the -SUM ( [Sales]) header. mdb which will be used to illustrate data blending. After adding the first data source, you can add the second data source. Any limit, both physical and theoretical, is determined by a large number of factors including, but not limited to, the following: Hardware resources, such as RAM, CPU, and disk space. To filter the data in the secondary dimension field. 2) Performance can be slow with Cross DB joins, depending on volumes of data, CPU resources, etc. But it seems (i can't be sure) it doesn't work with live connection to oracle db. A data source with relationships acts like a custom data source. Attached is the scaffolding table. I am using Tableau 8. Visual analytics tools are basically. 7. LOD from the secondary datasource; Blended data sources cannot be published as a unit. Good morning. And then. During analysis, Tableau adjusts join types intelligently and preserves the native level of detail in your data. Now, to compare actual sales to target sales, you can. It is imperative that this is done as a DATA BLEND and not a JOIN. Also if the refresh time of a TDE is more than the. There are some data blending limitations around non-additive aggregates, such as COUNTD, MEDIAN, and RAWSQLAGG. Next, this tutorial will look into the Date Parameters in Tableau. One limitation of blends is that they can be slower than joins or relationships because they require Tableau to actually create that temporary table to blend the data. They cannot be used as secondary data sources. csv) files, PDF files or Google sheets. There're few limitations in data blending in tableau. Limitations of data blending in Tableau: Every tool, feature, or platform will have its limitations, which would be the future enhancements. Tableau Data blending compromises on the speed of query in high granularity;The Two Types of Self-Service Data Preparation Tools. Read More >. Data Visualization with Tableau (38 Blogs) Become a Certified Professional . When a relationship is created between tables, the tables remain separate, maintaining their individual level of detail and. Establish a relationship at the level needed to blend and not at the duplicating field level: Data > Edit Relationships. However, the resulting data can be de-duplicated using calculations. Tableau automatically selects join types based on the fields being used in the visualization. The new data source can be added by going to Data>New Data Source. Tableau has an ability to blend data. When we work with large amount of data, multiple data sources, dashboards and workbooks, which heavy loaded with individual views and elements to control those. The sales data is aggregated to create some view – sales amount by state for example. Fast to create interactive visualizations. 2. COUNTD () – This function will always return the number of UNIQUE values in the selected field. When blending evidence, you merge details free a secondary data data furthermore display it alongside data from a primary datas source on a view (i. Despite being advantageous in many ways, data blending in Tableau has a few limitations too: Non-additive aggregates like MEDIAN, COUNT and RAWSQLAGG have data blending issues. PowerBi offers numerous data points to offer data visualization. AVG is a quasi-additive aggregation and may not be supported when blending. Any time data blending is in action tableau will be querying multiple datasets. With a data blend, it's a post-aggregation (at the level of the join) quasi-left join. It is difficult to work with these aggregates as the non-additive aggregates produce results that cannot be aggregated along a dimension. The book details the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. ×Sorry to interrupt. A relationship describes how two tables relate to each other, based on common fields, but doesn’t merge the tables together. Thanks Shawn. Data blending in Tableau enables the integration of data from different sources or tables without the need for traditional database joins. This feature works well enough in one-to-one relationships, but unwanted asterisks pop up when we want to perform a join in one-to-many relationships. All about Data Blending in Tableau. Upvote Upvoted Remove Upvote Reply. Data blending is not a database join engine, but an in-memory method for visualizing data from different data sources. After adding the first data source, you can add the second data source. With data blending, the linking field from the primary data source must be in the view before you can use a level of detail expression from the secondary data source; this can be quite a limitation. Let say from DS1 if i am making it as primary datasource then i can get the. Tableau is strictly a visualization tool. Drag a table or sheet of data to the canvas and release it. Go to the Data tab and select New Data Source, or use the shortcut Ctrl + D. If you are experiencing that issue, I recommend opening a support case so that we can investigate it. tableau. 1 is here with new capabilities to increase productivity and save time and money. Search for jobs related to Tableau data blending limitations or hire on the world's largest freelancing marketplace with 21m+ jobs. N. Chris, if i create dummy data, the blending works. Nowadays, companies use data from different sources to solve their business problems. Once we load all these data tables in Tableau, we can see them in the Data pane of our Tableau worksheet. You can also state how it's better for large-scale professional applications. We have various types of file extensions in tableau which are Tableau data extract (. We joined (inner join) two data tables with join keys (Month, Type, and Color). Drag a table to the canvas (if needed), then on the Data Source page, in the left pane, select the Use Data Interpreter check box to see if. Tableau's data blending (which hasn't seen much for new development since 2014/15) has some built-in limitations: The non-additive aggregate functions COUNTD(), MEDIAN(), and PERCENTILE() can only work when a) all the linking dimensions are in the view and b) there are no secondary source dimensions used in the view or on Filters. There are some data blending limiting around non-additive aggregates, such as COUNTD, MEDIAN, additionally RAWSQLAGG. A clean workbook is a happy workbook. Tableau Desktop allows you do to very basic preprocessing. So you need to pad out the data yourself for the missing months. This video tutorial explains about Data Blending in Tableau and Data Blending Charts in Tableau What Is Data Blending In Tableau?Data Blending in Tableau can. Also, you have the ability to change data types. Assistenza Premium; Formazione e certificazione; Servizi professionali; Customer success; Community Toggle sub-navigation. Here I want to calculate total percentage based on. g. Call it [Start KM]: IF ATTR ( [KM Date])=ATTR ( [OIL]. Let us. Data blending works much faster. Top Trending Articles: Limitations of Data Blending in Tableau. was going through the documentation in blending at. First load the sample coffee chain to Tableau and look at its metadata. Also unfortunately, I tried to recreate the problem with "dummy" data and failed to do so. Additional Information The linking field does not need to be present in the view. Tableau isn’t the foremost expensive visual image package, particularly compared to such business intelligence giants as Oracle’s and IBM’s solutions. I tried putting them all into an access database but pulling Oracle and SQL through Access required a bunch of nested queries and then when I published to Tableau Server it didn't work because I couldn't put in the user ID. tde. Being able to efficiently collect and combine those data has become an essential skill for all Data Scientists…Occasionally when working in Tableau, you will have to perform a function called data blending, which involves combining data from different sources. The policy condition in a data policy is a calculation or expression that defines access to the data. Relationships defer joins to the time and context of analysis. On the off chance that, as opposed to adding the optional information source, you build up another association with the main data set, it turns into a cross-data set join. 5%. The first field you drop onto a worksheet defines the primary datasource. This should explain why when you are using the SUM aggregation it works. So you wouldn't be able to compare the dates from rows of Something and the dates of rows from Dim_Date. I have investigated and found it is tableau limitation as per my knowledge. The limitations of data blending largely lie with the ETL solution you choose. It's a little too technical though. as we all know that there are some limitations when we try to build a view from 2 different data sources especially global filter issues. Owing to this, only those fields in the secondary data source which bear corresponding matches. It appears that Window calculations are the answer. However to do this in Power BI I would need to create an auxiliary table with unique date values and relation that table with both tables as joinning in power bi always need on of the tables to have unique values. Data blending: Cube data sources can only be used as the primary data source for blending data in Tableau. But these kinds of tools are unable to perform advanced data manipulations. , a visualization). is there a limitation to oracle db? ThanksI data blend on Date. The tables that you add to the canvas in the Data Source page create the structure of the data model. I'm not sure if there is an upper limit on blending but from a quick test I could have more than one secondary data source to blend with. Tableau’s group function loads the entire domain. This is a bit. Data blending can be performed between the fields of a single primary data source and those of multiple data sources. This turns into the essential information source. Data. Blended data cannot be published as a unit so the data must be published separately. Data Blending is a very powerful feature in Tableau.