Database changes represent one of the most significant obstacles to achieving true continuous delivery, often becoming the critical bottleneck in CI/CD pipelines that otherwise move at lightning speed. While database code deployments have become increasingly automated and reliable, database schema modifications continue to lag behind, creating deployment friction that leads [...]
How does DataOps simplify the data journey by integrating tools, teams, and processes to improve data handling? DataOps achieves this by automating repetitive tasks, enabling seamless collaboration, and ensuring data governance throughout its lifecycle. By bringing together the right technology and fostering cross-team alignment, it ensures that data is accessible, [...]
Introduction Automation has transformed many areas of software development, but database deployment often remains a manual process, relying on database admins and development teams to manage updates and maintain consistency. In today’s world of rapid cloud growth and continuous delivery, keeping database changes in sync with application code can be [...]
Ever tried giving someone directions? You probably said something like, “Turn left at the next light, then go straight for two blocks.” That’s an imperative approach – you’re telling someone exactly what to do, step by step. It’s the same with databases. You can tell a database exactly how to [...]
Organizations are increasingly leveraging cloud data warehousing to extract valuable insights and make informed decisions. Modern Data Analytics Platforms like Snowflake, Azure Synapse, SQL Server, Oracle etc have emerged as leaders in this space, providing exceptional scalability and performance that allow businesses to analyze vast datasets efficiently. However, as these [...]
Overcoming Bottlenecks in Large-Scale Database Change Deployments on Modern Data Analytics Platforms — Snowflake, Synapse, Azure SQL Server, Oracle etc. In today’s tech-driven era of database development, Continuous Integration and Continuous Deployment (CI/CD) for databases have become cornerstone practices. CI/CD refers to the combined practices of frequently integrating database object [...]
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 [...]
Alert Members in Analytics Team and Business Stakeholders of any Database Changes in your Snowflake, SQL Server and Oracle databases. In a large organization, data analytics development teams consist of several members. Most often members are located across multiple regions, locations and time zones. In addition, as the line between [...]
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 [...]
DataOps — Schema Compare, CI/CD, and Database Change Deployment for Snowflake, Redshift, Azure, and other databases. DataOps and CI/CD with respect to database schema compare and change deployment is a critical task, mainly when it comes to databases such as Snowflake, Redshift, or Azure. Most companies’ data landscapes include development, [...]
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 [...]
