Resource / DataOps Implementation Guide DataOps Implementation Guide Table of Contents Toggle The Data Problem and the DataOps SolutionWhat is DataOps?How to Implement DataOps?DevOps to DataOps with iceDQConclusion Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process In every organization, multiple data-centric projects are manifesting in the form of a data warehouse, data…
Resource / Migrating Database to Redshift, Snowflake, Azure DW and Test with iceDQ Migrating Database to Redshift, Snowflake, Azure DW and Test with iceDQ Table of Contents Toggle How to Migrate to Redshift, Snowflake, Azure Data Warehouse and Test with iceDQWhat is Involved in a Data Migration Project? Related Article Data Observability Explained Data Monitoring…
Resource / BI Testing What Is BI Testing and the Importance of BI Report Testing Table of Contents Toggle How to Automate BI Testing?Conclusion Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process Reports and dashboards are extensively used to make business decisions. These decisions later form the basis for the company’s growth…
Resource / Overcome Data Testing Challenges Overcome Data Testing Challenges Table of Contents Toggle Testing Across Data PlatformsFull Volume Testing Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process Today all decisions in an organization are being made on the data available to them. Hence it has become critical to ensure that the…
Resource / AML Software Implementation & Production Monitoring with iceDQ DataOps Platform AML Software Implementation & Production Monitoring with iceDQ DataOps Platform Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process iceDQ accelerates AML software implementation and prevents false positive signals in AML operations. AML software is a downstream system that consumes data from multiple…
Resource / iceDQ your Gatekeeper for Data Issues iceDQ your Gatekeeper for Data Issues Table of Contents Toggle Introducing iceDQ Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process The Challenges: Today’s organizations have thousands of data integration (ETL) processes constantly moving silos of data from various operational and/or external data sources to downstream…
Resource / The Data Migration Process & the Potential Risks The Data Migration Process & the Potential Risks Table of Contents Toggle What is Data Migration?What are the Risks of Data Migration? Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process What is Data Migration? Data migration is the process of transferring data…
Resource / Auditing – The Missing Element in Data Management and Data Governance Auditing – The Missing Element in Data Management and Data Governance Table of Contents Toggle The Nature of FeedbackiceDQ for Monitoring and MeteringThe Business Rules ApproachNotification and AlertingDashboard: Presentation of ResultsConclusion Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process…
Resource / QA Challenges in Data Integration Projects QA Challenges in Data Integration Projects Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process Download Whitepaper from here QA Challenges Data Integration Projects Quality Assurance (QA) is a very important component of any data-centric application project. Projects such as data warehouse, data migration, ETL, Data…
Resource / Agile Data Warehouse Testing & Data Migration Testing Agile Data Warehouse Testing & Data Migration Testing Table of Contents Toggle How does iceDQ work?Why iceDQ? Related Article Data Observability Explained Data Monitoring Concepts Salesforce Testing Process Automate data warehouse etl testing and migration testing the agile way from Sandesh Gawande Development of…
