I typically recommend avoiding these, because querying the interim results in those tables (typically for debugging purposes) may not be possible outside the scope of the ETL process. I worked at a shop with that approach, and the download took all night. Also, keep in mind that the use of staging tables should be evaluated on a per-process basis. Using SSIS raw files leans more on the Integration Services engine to handle this interim processing, while moving it to the database engine in temp tables or staging tables offloads that processing to the database engine (in more of an ELT pattern rather than ETL). Every enterprise-class ETL tool is built with complex transformation tools, capable of handling many of these common cleansing, deduplication, and reshaping tasks. If you could shed some light on how the source could send the files best to assist an ETL in functioning efficiently, accurately, and effectively that would be great. When dealing with large volumes, you may need to handle partition inserts and deal with updates in a different way. I already have a list of 5 of the 6 types of tables in the apiCall table that I built (described here), so I can use an Execute SQL Task to generate this list and use UNION to append the 6th table type to the list manually. In some cases a file just contains address information or just phone numbers. Step 3 - Create a staging table in SQL Database Server Choose the appropriate SSIS project. Table Columns. Typically, you’ll see this process referred to as ELT – extract, load, and transform – because the load to the destination is performed before the transformation takes place. The nature of the tables would allow that database not to be backed up, but simply scripted. Temp tables in SQL Server are typically scoped to a single user session, or may be created with global scope to allow interaction from more than one connection. Syntax similar to the following is TSQL Code to create a table. To create a SSIS package to be used as template you have to follow the same approach as creating a new package. This is a design pattern that I rarely use, but has come in useful on occasion where the shape or grain of the data had to be changed significantly during the load process. I have worked in Data Warehouse before but have not dictated how the data can be received from the source. That number doesn’t get added until the first persistent table is reached. It is in fact a method that both IBM and Teradata have promoted for many years. Especially when dealing with large sets of data, emptying the staging table will reduce the time and amount of storage space required to back up the database. When using a load design with staging tables, the ETL flow looks something more like this: This load design pattern has more steps than the traditional ETL process, but it also brings additional flexibility as well. If your ETL processes are built to track data lineage, be sure that your ETL staging tables are configured to support this. I have one of my ETL solutions where I used raw files instead of persisted temp table in the database. In this video you will learn What is Staging Database and why do we use it in ETL Process. That ETL ID points to the information for that process, including time, record counts for the fact and dimension tables. Use the leaf members staging table (stg.name_Leaf) in the Master Data Services database to create, update, deactivate, and delete leaf members. Creating Sample SSIS Package. Separating them physically on different underlying files can also reduce disk I/O contention during loads. Remember also that source systems pretty much always overwrite and often purge historical data. I need to upload this data into a staging table in SQL Server 2005 using SSIS, I created a table with the geographical hierarchy columns but am trying to figure out a way to load the monthly data. Best, Raphael, Raphael, that’s an excellent question. However, if you are pulling data from for 2-3 tables then I would suggest to create staging schema in the same db. Hi Gary, I’ve seen the persistent staging pattern as well, and there are some things I like about it. Consider indexing your staging tables. Raw files are supposed to be faster and arguably designed precisely for the use case of temporarily staging your data in between Extract and Load operations. The Data Flow in details looks like this: You can create Stored Procedures, but there are also staging procedures within MDS which would be better used for Stored Procedures.
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