I want to connect two database and establish a relationship between them in tableau. One from sql sever and another from Microsoft excel sheet. How to do that?
I have goggled a lot for that but could not get a suitable answer.
You are speaking about Data Blending -
And for connecting cross database data
Cross Database Querying is a Flagship Upgrade to Tableau 10.0
However, you cannot use cross-database joins with these below connection types:
Tableau Server
Firebird
Google Analytics
Microsoft Analysis Services
Microsoft PowerPivot
Odata
Oracle Essbase
Salesforce
SAP BW
Splunk
Teradata OLAP Connector
You just need to connect to each database separately and make sure they have the same column names. When creating a sheet when you switch between datasources you will see a chain on the linked fields.
Do note that this is not properly joined but is just blended data, it would be best to create another table in your sql database for the excel sheet.
Related
We have developed a model in Tabular Object Model(TOM), <= 3.5 GB in size., and built few Tableau Dashboard(s) on top of this model.
Each dashboard is built by dragging multiple sheets into one dashboard. All the sheets (dragged in one dashboard) fetch data from one fact table (of course it has relationships with Date and other related dimensions) in TOM.
Now, when we interact with Tableau dashboard, we see a performance degradation. When we checked the SQL profiler, Tableau is generating a huge query for almost every interaction that we have with the dashboard.
We checked the huge query and observed that it includes the DAX/query for almost all the measures in fact tables, irrespective of whether the fact table is used in the said dashboard or not.
We have verified the filter settings in the dashboard, the settings are applicable only for the sheets dragged in our dashboard, so there is no question of visualizations getting changed in other dashboards.
Ironically, we still see that Tableau is creating a huge query and incorporating all the DAX/queries and this results into performance impact.
Is there any way we can restrict this behavior?
In case anyone else is having this issue, this is tied into Tableau not actually supporting SSAS Tabular, the connector you using is for SSAS Multidimensional so Tableau generates MDX queries against the DAX-based Tabular model.
This is also evident from Tableau's own techspecs site:
https://www.tableau.com/products/techspecs
"Microsoft SQL Server Analysis Services 2008 SP4 or later, multi-dimensional mode only*
"
Tableau's website at https://www.tableau.com/products/techspecs clearly states support for
"Microsoft SQL Server Analysis Services 2005 or later, non-tabular mode only*(incl. support for Kerberos)"
I have created custom script in Express that actually migrates SQL Server database to MongoDB.
But I am facing problems in live syncing between the two databases.
Currently I have added a column updated_by in both the databases.
Then I fetch the latest updated_by row from MongoDb and SQL Server database.
Then I check the date difference and based on it I update my MongoDB database.
There are lots of db tables and I am finding it difficult to identify that, which table is being updated.
Is there any log in SQL Server 2008 R2 that states which table is updated and at what time?
I need a mechanism like, any data update in the db table should immediately sync that rows into my MongoDB.
Any more suggestions on live data syncing is also welcome.
Thanks in advance. :)
When i have such requirement to Sync between Relational DB say (MYSQL) and Non-Relational DB (Mongodb).
I had followed following steps which may help others in future. and the concept is generally called as Change Data Capture
Capture changes (For MYSQL iam using triggers.)
Transform changes to a suitable changes
ie RDBMS to Non RDBMS
Update changes
Remember to sync the structural changes of database and corresponding implementaions.
Following links may help
https://www.flydata.com/blog/what-change-data-capture-cdc-is-and-why-its-important/
Whether the Data output from Alteryx can be mapped to Tableau Reports directly or do we need to store the Data output in an intermediate Database (like SQL Server).
Altyryx can generate a Tableau data extract or write to a relational database. Tableau can read from either format. Your choice.
Yes you can publish from Alteryx to Tableau go to Connector and then select "Publish to Tableau Server Tool" if you don't to have the tool. download it from here:
Click Here
Is it possible to have a MS access backend database (Microsoft JET or Access Database Engine) set up so that whenever entries are inserted/updated those changes are replicated* to a PostgreSQL database?
Two-way synchronization would be nice, but one way would be acceptable.
I know it's popular to link the two and use one as a frontend, but it's essential that both be backend.
Any suggestions?
* ie reflected, synchronized, mirrored
Can you use Microsoft SQL Server Express Edition? Or do you have to use Microsoft Access Database Engine? It's possible you'll have more options using MS SQL express, like more complete triggers and logging.
Either way, you're going to need a way to accumulate a log of changed rows from the source database engine, and a program to sync them to PostgreSQL by reading the log and converting it into suitable PostgreSQL INSERT, UPDATE and DELETE statements.
You could do this by having audit triggers in MADB/Express insert a row into an audit shadow table for every "real" table whenever it changed, including inserting special "row deleted" audit entries. Then your sync program could connect to both MADB/Express, read the audit tables, apply the changes to PostgreSQL, and empty the audit tables.
I'll be surprised if you find anything to do this out of the box. It's one area where Microsoft SQL Server has a big advantage because of all the deep Access and MADB engine integation to support the synchronisation and integration features.
There are some ETL ("Extract, Transform, Load") tools that might be helpful, like Pentaho and Talend. I don't know if you can achieve the desired degree of automation with them though.
I want to transfer some tables of DB2 to oracle daily for accessing them from web page,
But I don't know commands of DB2. How to do this?
I want this action should perform on database daily on particular time, so is there any tool is available to do this operation. And for writing the program for operating above query which programming language should I use? I am using windows XP.
I think Change Data Capture is used to replicate DML from one database to other databases continuously.
However, what you need is to transfer some data at a particular time each day, thus CDC could be too heavy for that.
You could do a simply "db2 export", and then you could import the generated file from Oracle.
There should be an option to create an adapter in Oracle that permits to query DB2 tables. The opposite is called federation in DB2 (InfoSphere Information Server) that permits to query Oracle tables.
Export http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/topic/com.ibm.db2.luw.admin.cmd.doc/doc/r0008303.html
CMD examples http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/topic/com.ibm.db2.luw.admin.dm.doc/doc/r0004567.html
Check this link
http://blogs.oracle.com/warehousebuilder/entry/simple_change_data_capture_from_db2_table_to_oracle_table
In 11.2 releases, Change Data Capture (CDC) can be done by code template mapping. This allows users to capture the data changes from heterogeneous data source, and load into the target across different platforms.