SQL Server Express + SSIS basics
May 01, 2021

SQL Server Express + SSIS basics

Vladimir Salnikov | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SQL Server Integration Services

We are using the SSIS as a major data export/import & converter between different data sources, including relatively old legacy stuff out from 90th. The beauty of SSIS is really advanced capabilities of data converts and mix up the data from different sources with all respect to keys and data relations. We use this mostly as an addition to the SQL Server Express edition (as a part of the import/export wizard) but on the sandbox I doing the tests of SQL Server 2016 Standard edition to mix up several RDBMS for data extraction into one data warehouse.
  • Extraction and convert data from various sources
  • Pipelining in the data extraction process
  • Unions between different data sources akin one meta datasource
  • Some labels in Visual Studio snap-in for MS SQL Server are collapsed on non-English (German & Russian tested) locales.
  • Data integrity across various products allows unify certain processes inside the organization and save funds by reducing human labour factor.
  • Automated data unification allows us plan our inputs better and reduce over-warehousing by overbuying
  • The employee number, responsible for data management was reduced from 4 to 1 person
SAP Business Objects was a primary concurrent software against the MS SSIS but it has a more steep learning curve and requires additional investment into the SAP-related software infrastructure. With SSIS one can start easily with simple data extraction / DTL tools of Express Edition (which is free) and then migrate to the Standard Edition if any advanced DTS will be required. Also, the MS community and MSDN tech resources contain a lot of useful info to allow a quick start. Also, installation/administration processes are easy and well-documented counter to expensive SAP requirements. One can start with totally free solutions and scale them in the future. As an example - you can use a free Hyper-V core server on a very cheap 1000-1500 USD Dell/HPE entry-level server, then virtualize one instance of Win10 Pro, and inside this virtual machine install the SQL Server Express with SSIS (as Data Transformation and Import / Export wizard). With a certain amount of imagination, this could be a very good start point to unite a moderate amount of data, collected in the small organization for decades.

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Well suited: all data extraction from file (spreadsheet-like) and RDBMS data sources, mix up them into one integrated meta-data source for future processing.
Less appropriate: big key-value data storages processed slowly, and hard to make data mining through uniting non-RDBMS and RDBMS data sources naive way. The data from non-SQL databases should be prepared accordingly to be represented in a table-like way if possible.

SSIS Feature Ratings

Connect to traditional data sources
Connecto to Big Data and NoSQL
Simple transformations
Complex transformations
Metadata management
Business rules and workflow
Testing and debugging
Integration with data quality tools
Integration with MDM tools