How could I import data from Rally into a Sybase database? - rally

To include Rally data in our Cognos reports we need to import Portfolio items and UserStory information into a Sybase database. How would I go about this?

Use any ETL tool you have around (Cognos DataManager maybe an option) or
bcp utility if you have source in csv
or some code like this if your source is Excel

Related

importing CSV from SAP R/3 to SQL database for reporting purpose

I want to import CSV files and invoices from SAP R/3 system into a SQL database. The database will be used for reporting purpose only, please tell me what will be the best possible way, which database to use and anything else that will be relevant to me in this context? and I am novice so please help....Thanks:)
If you are routinely importing CSV files then I recommend getting them comma delimited (or whatever delimiter you choose) and going the route of making an SSIS package with a corresponding SQL Agent Job that runs daily to check for the file and run it if it finds it.
Info on SSIS package creation:
http://smallbusiness.chron.com/import-csv-ssis-46849.html
If this is a one time load then I would recommend just using the import export wizard built into SQL Server.
https://msdn.microsoft.com/en-us/library/ms140052.aspx
Pretty easy to use the import export wizard too. Right click the database > tasks > import data. This will launch the wizard and will walk you through the one time import.
Adding Microsoft's official SSIS guide as well:
https://msdn.microsoft.com/en-us/library/ms169917.aspx

Automating an upload of data to rdbms from a google spreadsheet

I have a google doc that I'm using to update a table in a sql table and at the moment I do it manually; copy and paste the data from the google doc. into excel, remove the columns that I don't need then save as a CSV and upload.
I'm wondering if there is a way that I can automate this? The report it's for is daily and the upload is becoming a bit of a bore!
You can also go the python-route by utilising the following python libraries: gspread, oauth2client, pandas and sqlalchemy (source). If you want to automate it, use cron or crontab to run your python-script on a hourly, daily, weekly or monthly basis.
What DBMS do you use?
If you use Microsoft SQL Server, you can use SSIS (SQL Server Integration Services), the easiest way to do this for a novice would be to right-click on the database in SQL Server Management Studio --> Tasks --> Import Data, then follow the wizard to set up the data source (flat file / Excel file etc.) and the data destination (DB table). Once you've finished with the wizard, you can save the package and re-use it later on (or even automate it via SQL Agent job). You can edit the package in Visual Studio (aka SQL Server Data Tools) prior to deployment/automation if needed.
More on SSIS: https://msdn.microsoft.com/en-us/library/ms169917.aspx

Importing Multivalue DB with SSIS into SQL

I would like to know if it is possible to Transfer Data into SQL Server from a multi value database file using SSIS.
The only thing that I could find online was using a bluefinity tool to achieve this.
Thanks
Simona
I have done this from Universe, but Universe has an ODBC driver that allows the datavase to be viewed as if they were tables. Almost like SQL views.
SSIS can import from almost anything that you can get either a .Net, ODBC, or OLE DB driver for. There has to be someway to talk to the DB from an extrnal program, though.
I suspect that you has no driver (ODBC,OLEDB,.NET). So you can use C# script (even from SSIS) and extract data to flat file and then to SQL Server or do it directly to SQL Server.

Import .sql file in Access

I need to import to Access a .sql database backup file created with MySql .
Is there a way to perform this operation?
You can't restore a MySQL backup into any other database system.
If you want to import the MySQL data into Access, you could export it all into CSV files and import those to Access. You will still need to recreate relationships, defaults, indexes (?) and other data.
You can import SQL Server data into a new Access table. In general, importing is a way to convert data from a different format and copy it into Access. The source table or file is not altered in this process. You can import directly from a SQL Server database using an ODBC connection, a text file exported from SQL Server, or an XML file exported from SQL Server.
To make frequent import operations more convenient, you can automate them by creating a macro or creating a Microsoft Visual Basic for Applications (VBA) procedure. This is useful, for example, when you import data on a regular schedule or you have unusual or complex requirements for importing data.
if you use SQL Server Management studio then you can open the .SQL files and it will give you help in figuring out what syntax works in SQL -- and which doesn't.
For example, if you have a table name that is mis-spelled, SQL Server Management Studio will give you red squigglies under that table name.
I don't see that functionality in Access, and I don't think that it's coming any time soon. Access (Jet) hasn't gotten any new features in almost fifteen years.

ms Access import table from file in a query

Is there a way to have a msAccess DB query import a table from file?
Yes, as long as the data is organized. You can use VBA or a macro with TransferText or you can use Get External Data from the menu or ribbon, which will guide you through the steps.
EDIT
You can import into a new or existing table from say, CSV, like so:
SELECT * INTO NewTable
FROM [Text;HDR=Yes;FMT=Delimited;Database=C:\Docs].Test.csv
The solution will vary depending on the format of the file. If it's simple enough, checking out the options on the External Data tab (MS Access 2007) in the Import section, may do the trick.
For complex integrations, I'll often use SQL Server Integration Services (SSIS) to migrate the data into Access, where I can then process it with SQL queries. Of course, SSIS is a much "heavier" solution with a bit of a learning curve, but its been handy when the wizards aren't flexible enough.