Unlock cost-friendly and unrestricted data quality checking
Since the overwhelming impact of Big Data's advent into financial business services, firms often struggle with complex and disorganized data in their Data Lake and warehouse environments. Poor data quality and lack of standardization often lead to inconsistent or misleading data analytics. Data warehouses can only implement basic data integrity constraints due to volume and performance requirements, thereby making periodic checks a crucial practice. Additionally, many data quality (DQ) checking solutions currently on the market are expensive yet lack optimization and functionality.
What if you could reduce data checking costs and increase productivity without performance constraints?
With Virtusa’s Data Quality Checks (DQC) Framework solution, businesses can conduct cost-efficient DQ checks with an extendible framework using open-source tooling. DQC Framework contains a suite of tools for implementing data quality checking and is built around the popular python-based, open-source data validation, Great Expectations (GE). Our solution uses SQL-based checks on Data Lakes and warehouses so that users can view data results and failures. DQC streamlines the management of testing, automation, and scheduling processes – without the expensive licensing fees attached to commercial ETL (extract, transform, and load) and governance tools.
Virtusa’s Data Quality Checks (DQC) Framework provides streamlined data standardization and reduces the footprint of commercial tools. Our solution is universally applicable to all data warehouses and databases and is a valuable resource for the detection and remediation of data quality issues. DQC Framework is also easy to learn and operate and begins yielding results in a short span of time.
With DQC, businesses can:
Data Quality Checks Framework modernizes the data quality checking process so companies can cost-effectively standardize data.
Virtusa’s Data Quality Checks Framework is the cost-saving, adaptable answer to your data quality challenges. With DQC, you get comprehensive access to a premium data quality testing platform that integrates impeccably with the Great Expectations tool and like-minded DQ platforms on the market. Our solution is proven to circumvent limitations and override obstacles surrounding complex data checking scenarios, allowing users to innovate and expedite their data quality checking processes.
Virtusa developed and implemented unit and end-to-end data quality testing for the Snowflake implementation using Virtusa DQC and Great Expectations.
Learn more about Data Quality Checks Framework