Agile Data Engine - Blog

The team at Agile Data Engine likes to write about things we are passionate about: DataOps, data quality, solving business cases and keeping up with the evolving technology landscape.

Data-driven Business

Achieving retail success with Snowflake's data cloud warehouse

Unlock retail success with Snowflake's cloud data warehouse, the key to efficient operations and superior customer experiences. Discover how data-driven strategies enhance inventory management, marketing campaigns, and real-time decision-making. See why Finland's leading retailers trust Agile Data Engine for seamless data integration and management. Learn more about the future of retail in our comprehensive guide and case studies.

Data-driven Business

Introduction to edw aka enterprise data warehouse

Enterprise data warehouse (EDW) is a hub that collects and stores data from different sources and makes it available for analytics and better decision making.

Find Simplicity: Navigating the Maze of Schema Changes in Cloud Data Warehouse

Discover how to simplify schema changes in cloud data warehouses with our Agile Data Engine. Avoid the common pitfalls of manual adjustments and embrace a streamlined, error-free approach. From understanding data models to automated documentation and versatile SQL code generation, our platform ensures efficient, collaborative, and hassle-free schema modifications. Say goodbye to the complexities hidden in the details and hello to seamless data operations.

DW

Unlocking the power of DataOps

DataOps is an approach that has gained popularity in recent years as a way to manage and develop data solutions in an efficient and reliable manner.

DevOps or DataOps – What is the distinction between data and software development

This blog post will explore the similarities and differences between DataOps and DevOps, and the specific challenges and considerations of data development

Agile development – the foundation for enabling DataOps

Most things in DevOps & DataOps are just natural evolution from agile development. There are many ways to be agile, but they all share common principles.

DataOps tools – understanding and selecting the right stack and approach for your team

When it comes to building a successful DataOps team, the crucial factor to consider is the tools and technology used. But should you build or buy them?

Quality management in DataOps – balancing between time to market, performance, and quality

How do Lean Development and Total Quality Management work together within DataOps? And how do they apply to data development? Read on to find out!

Keeping Cloud Data Warehouse Costs in Check

Have you ever wondered who's accountable if your data warehouse starts draining your budget? Can you monitor usage and identify the sources of costs?

Data Quality

Data quality monitoring for short-term and long-term purposes

Short-term and long-term data quality monitoring will allow you to trust the data flowing through your data platform and to take action to improve it.

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