Table of Contents What is Master Data Management? 4DAlert: A Smarter, More Complete Master Data Management Platform Why Modern Enterprises Choose 4DAlert for Master Data Management Final Thoughts: Master Your Data Before It Masters You Author Nihar Rout Managing Partner 4DAlert Data is the fuel that powers modern business — [...]
In today’s hyper-competitive and data-driven world, industries like Oil, Gas, and Energy are increasingly reliant on vast, complex data ecosystems to drive operational efficiency, strategic decision-making, and compliance. Companies operating in these sectors are managing enormous datasets, often across multiple platforms like Snowflake, Azure, Redshift, and Databricks. However, with the [...]
Table of Contents Develop a criteria for perfect data Have a dedicated team to maintain and store these rules Benchmark the criteria Measure continuously Set up Data Quality alerts Go beyond simple checks Automate with AI/ML Author Nihar Rout Managing Partner 4DAlert Perfect data doesn’t exist — but with automated [...]
Table of Contents 4DAlert’s Schema Compare Tool Helps You Identify Dependent Objects 4DAlert’s Declarative Method to Generate Deployment Script How Could We Automatically Send Notification of Any Schema Changes After Each Deployment? Automated Email on All DDLs Executed in Database with Pass/Fail Status conclusion Author Nihar Rout Managing Partner 4DAlert [...]
Is your team preparing Snowflake deployment scripts manually? Is your team deploying database schema change deployment scripts manually? Are your developers uploading the manually created scripts into Github or Azure DevOps? Is your team struggling to coordinate changes among members in the development team working in different projects from different [...]
Table of Contents Scenario 1 — Reconcile data between source and target Scenario 2-Data reconciliation within the analytics platform Scenario 3 – Data Compare across the systems Scenario 4- Checking numbers across layers in an analytics platform The solution that connects to diverse data sources Data Observability Author Nihar Rout [...]
Table of Contents Moving Database Changes Across Environments Why Automated Schema Comparison is Critical Version Control for Database Engineers Merging Code Across Branches Automated Deployment Script Generation Keeping All Databases in Sync Ready to Try? Author Nihar Rout Managing Partner 4DAlert DataOps — Schema Compare, CI/CD, and Database Change Deployment [...]
Loading a lot of data to Google BigQuery. That is great. But do you reconcile data after every load to make sure data is in good quality? Business Case A large retail company has multiple ERPs and systems. Everyday, analytics teams load large volumes of data from multiple systems to [...]
Business Use case A large Electronic manufacturing company with an annual USD 35 Billion revenue has approximately 3,000 database objects in its Snowflake platform. The company has data analytics development teams working on various business priorities from multiple locations in an agile fashion. Based on different business priorities, and other [...]
Table of Contents What is Data Observability? Why is Data Observability Important? Data Observability Frameworks Data Reconciliation What Does the Future of Data Observability Look Like? Transform Your Organization’s Monitoring Capabilities with 4DAlert’s AI/ML-enabled Data Observability Solution Author Nihar Rout Managing Partner 4DAlert What is Data Observability? Lets understand Data [...]