Secrets of Data Analytics Leaders

Dive into the intriguing challenges of data observability, especially during data migration and integrity audits. Discover how standard tools fall short and the importance of using specialized solutions for reliable data governance. This discussion highlights the nuances between validating data migration and conducting ongoing integrity checks, emphasizing the need for dedicated approaches to ensure quality assurance.

A strategic approach to data monetization covering key processes, risks, and organizational shifts needed for success. Published at: https://www.eckerson.com/articles/unlocking-data-monetization-success

A fresh perspective on data architecture, advocating for an 'anti-monolith' approach inspired by engineering best practices. Published at: https://www.eckerson.com/articles/good-data-architecture-anti-monolith

Explore the fascinating interplay between data mesh and data fabric in crafting a data strategy. Discover how decentralization and autonomy in data mesh can work in harmony with centralized integration and governance from data fabric. Unpack the advantages and disadvantages of both approaches, and learn how to create a balanced framework that offers flexibility and control for your organization's unique needs.

As organizations grapple with data spread across various storage locations, solutions like Coginiti Hybrid Query offer a much-needed alternative to fragmented tools. Published at: https://www.eckerson.com/articles/a-novel-approach-for-reducing-cloud-data-warehouse-expenses-from-coginiti

This blog post explores the evolving landscape of data catalogs, highlighting ten key market trends driving the adoption of next-generation solutions. Published: https://www.eckerson.com/articles/ten-key-market-trends-in-next-generation-data-catalogs

Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives innovation with artificial intelligence and machine learning (AI/ML). Published at: https://www.eckerson.com/articles/refining-the-right-fuel-how-data-integration-drives-the-ai-ml-model-lifecycle

With numerous data catalog options available, all claiming to be the best, how do you make an informed decision without exhaustive research? Published at: https://www.eckerson.com/articles/unveiling-the-future-of-data-catalogs

This blog describes the need for data teams to establish a flexible yet well-governed data architecture to support dynamic AI/ML projects. Published at: https://www.eckerson.com/articles/multi-style-data-integration-for-ai-ml-three-use-cases

Many data leaders want to implement self-service, but don’t realize that they first have to implement the right architecture, governance, operating model, project delivery approach, data, and change management plan. Published at: https://www.eckerson.com/articles/self-service-is-the-outcome-not-the-driver-of-a-data-driven-organization