Data Warehouse Tools Best Practices

Caserta Concepts’ Specialists Are Experienced in Data Warehouse Tools Best Practices

Building a large-scale relational data warehouse is a complex task and so we follow our data warehouse tools best practices to minimize risk and ensure that we deliver an effective data warehouse solution on time and to budget.

With each data warehouse tool, there is a distinct range of best practices used to ensure that our data services have the best chance of working effectively for our clients. These best practices are utilized to increase return on investment for our clients.

Below are some of the best practices we adopt for the primary systems we use

Oracle Data Warehouse Best Practices

  • Ensuring that a good hardware configuration is in place – that is balanced, tried and tested – is key to success
  • Selecting the right logical model that is fit-for-purpose is another key factor when using Oracle systems. Common options are 3NF or Star Schema models
  • Making sure the physical model reflects the logical model and is fully scalable
  • Making sure systems and projects are managed closely helps to ensure Oracle data warehouses perform well over the long term
  • We’re specialists in performance tuning techniques specific to data warehousing vs. transaction processing

SQL Server Data Warehouse Best Practices

  • Make sure the initial architecture of the data warehouse is right
  • Design the data warehouse in line with the analytical requirements uncovered in the business requirements analysis process
  • Simplify the ETL process
  • Use Microsoft recommended tools and technologies for analysis

Informatica Data Warehouse Best Practices

  • Balancing streamlined processes and building in data audits
  • Using techniques to standardize data
  • Implementing error handling strategies and processes
  • Designing effective metadata reporting and sharing

SAP Business Objects Best Practices

  • Deal with data in smaller parts to help streamline the reporting process
  • Use Crystal reports for pixel perfect enterprise reporting
  • Use Dashboards to provide interactive KPI reporting
  • Only publish needed objects for a leaner, navigable approach
  • Integrate with corporate security and single sign-on

IBM Cognos Business intelligence Best Practices

  • Provide alternate drill paths in Hierarchies
  • Push constraints to database when applying global filters
  • Provide prompts, common calculations and filters
  • Select the right module for each use case

Micro strategy Business Intelligence Best Practices

  • Use appropriate data model, such as a snowflake schema
  • Ensure security by integrating configuration with enterprise directory
  • Cleanse all leading and training white spaces for consistent matching
  • Partition large tables

The above list only scratches the surface of the best practices that Caserta Concepts’ experts use when designing, architecting and implementing using various data warehouse tools. Talk to us to find out more about our best practices expertise.