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Data Warehousing

What is Data Warehousing?

Overview

Today’s sophisticated technologies enable organizations to collect and store terabytes of data from almost any source imaginable. The challenge has become how to reliably integrate and store data in a way that allows for meaningful reporting and analysis that enables businesses to leverage that data both for operations and for business intelligence decisions.

The data warehouse stores an organization's electronic data so that it can be accessed for analysis and reporting. Data stored in the data warehouse is different from data used in operations in that it is organized to facilitate reporting not only for day-to-day operations, but also for analysis to determine trends that help in the decision-making process and the creation of future plans.

The data infrastructure of most organizations comprises many heterogeneous systems such as customers, partners, human resources, sales, production, finance, and more. These systems are often poorly integrated, meaning that while the information is available somewhere, it is difficult and sometimes impossible to find. Data warehousing solutions solve these issues by transforming complex, heterogeneous data into a single database of homogeneous data that can be easily accessed and organized to provide meaningful answers.

Data warehouses have many advantages, including:

  • Access to data from all the different systems within an organization
  • One repository for all an organization’s data
  • Increased data quality and consistency
  • Additional documentation of the data
  • Lower operational costs and improved productivity

 

Astera's DWAccelerator for Data Warehousing

DWAccelerator empowers IT and business teams to inspire confidence in their organization’s data and to deliver on the promise of their data warehouse. This data warehousing tool provides all the functionality needed for today’s demanding data storage and analysis requirements, including automated integration flows, superior performance, usability, scalability, slowly changing dimension maintenance, and wide connectivity to popular databases and file formats.

 

Dimensional Modeling

Dimensional Modeling provides higher data warehouse performance with intuitive schema that effectively cuts processing time. DWAccelerator optimizes the process of designing, implementing and maintaining dimensional models through its code-free user interface and automation of time-consuming processes.

 

Data quality and profiling

DWAccelerator is the ideal data warehouse software because it is a single platform with a built-in data quality module. It is able to profile, cleanse, and validate data to ensure readiness for the data warehouse without the user having to change applications—everything is done in a single platform and as part of a single job. Data quality many times consists of data profiling: taking a look and seeing what is in the data stores to ensure they conform to what is expected or as part of meeting criteria based on business logic. Not only is DWAccelerator useful for validating before embarking on a data migration process, it can also be used on the back end logging to understand what kind of error and failure rates are present in the data that has been moved into the warehouse. DWAccelerator does this with the data quality rules component, the field profile, and the record-level log.

 

Push-down Optimization (ELT)

Push-down optimization gives users the option to reorder the ETL process to prioritize loading over transformation, or ELT. This reordering produces the same results as traditional ETL, however, the re-prioritization cuts time spent in transformations, especially when large quantities of data are involved.

 

Speed and scalability

The DWAccelerator parallel processing engine is built from the ground up to deliver high performance and scalability. If more power is needed, it is simply a matter of adding another DWAccelerator server and performance will scale accordingly.