Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

An Introduction to Query Builders Query Builder is a tool that allows users to create complex SQL queries without needing in-depth knowledge of the SQL programming language....
ETL stands for Extract, Transform, and Load. It is the process by which data is extracted from one or more sources, transformed into compatible formats, and then loaded into a target Database or Data Warehouse....
Data profiling is a crucial step in the data management process, especially in the pharmaceutical industry where accurate and reliable data is essential for making informed decisions....
DataOps is managing data in its raw form or transforming it from one format to another. It ensures that the data flowing through your production pipelines is accurate and reliable. DataOps combines software development and infrastructure management best practices with traditional...
While most google searches for “JSON Validation” led to validation tools and articles that focus on structure, a severely under-looked topic is about validating the data within these complex files. The same applies to XML files....
Salesforce is a cloud-based CRM platform that helps businesses manage and analyze customer interactions and data throughout the customer lifecycle. It is used to store and organize information about customers, such as their contact details, communication history, and preferences....
No matter how many new features an application has, how clean the user interface is, or even how fast the content is delivered across the Internet, if the data is inaccurate on incomplete, the product will fail. A company that uses corrupt or incorrect data cannot function: errors will disrupt...
What is Data Drift? Within the data space, the only constant thing is “change”. The drift in data here refers to a multitude of changes in the input data primarily in terms of frequency, aggregates, and heterogeneity. These are not regarded as errors as these types of shifts and changes...
Data is a precious asset that has to be validated at various stages of use. One stage is at the point of ingestion, and another as it moves through your enterprise and lands in your data warehouse or data lake. Finally, when it is consumed in your data analytics platform....
any organizations continue to use Oracle database for storing transactional and warehouse data in their on-premise data centers. However, with data growing exponentially, their data environments are struggling to handle the growing load which requires more processing power and...
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