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Data Mesh

Snowflake Workloads Explained: Snowlake for Data Mesh

Snowflake’s cross-cloud platform enables domain teams to seamlessly collaborate and share data products across clouds and regions without copying or ETL. Domain teams can work with tools and languages of their choice, and scale resources independently with Snowflake’s elastic performance engine. With Snowflake, organizations can strike the right balance between domain ownership and governance standards.

Scania Uses Data Mesh and Snowflake's Data Cloud to Drive Transport Sustainability

Scania is at the forefront of a more autonomous, connected, electric future for the transportation industry. Find out why its Head of Data and Information Management uses data mesh—and Snowflake—to make it a reality. Scania is a global truck, bus, and industrial engine manufacturer and offers an extensive range of related services so its customers can focus on their core business.

Data Mesh and other Alternatives for Data Chiefs in 2023

Title: Data Mesh and other Alternatives for Data Chiefs in 2023 Description: The data world exploded in 2022 with a heated debate around data mesh. We had to talk to Tony Baer of DBinsights to get a better understanding of his perspective and criticism of data mesh. Most importantly, we needed to know what it is he recommends we use instead!

The Power & Importance Of Developing A Data Mesh Architecture.

More than ever, data platforms are becoming direct drivers of revenue. In this interview, host Ryan Green talks with Shane Murray, Field CTO at Monte Carlo, and Vishal Shah, Data Architect Manager at Pitney Bowes, about the importance of democratizing data, accountability, and fostering a self-service data mindset.

From Data Lake to Data Mesh: How Data Mesh Benefits Businesses

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. It’s a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. What is a data mesh, and how could it benefit your business?


Data Warehousing and Data Mesh: Different Types of Goals

The world is full of different types of goals. Consider football. The goal in football is at the end of the field. A runner either crosses the goal or they don't, when trying to make a touchdown. Or, consider basketball. In basketball, when a player shoots the ball, the player’s shot either goes through the net or it doesn’t. Alternatively, consider ice hockey. When a hockey player shoots the puck, it either goes into the net — or it doesn’t.


Is Data Mesh the Right Framework for Your Data Ecosystem?

With the ever-increasing volume of data being generated from a highly diverse set of data sources, organizations have started to increasingly direct their focus on solutions that can help them with data management more efficiently and effectively. Indeed, in the current decade, having a robust data infrastructure is key to an organization’s success, and timely data-driven decision-making is what every management is striving for today.


Integrating Your Data Warehouse and Data Mesh Strategies

Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.


Data Management and the Four Principles of Data Mesh

A relatively new term in the world of data management, data mesh refers to the process of creating a. This process can happen in several ways, giving business users easy access to the data they require for decision-making. Several principles guide data mesh design and implementation. This article will discuss the principles of data mesh and how they can help your business get the most out of its data.


Driving Business Value from a Data Mesh Approach

Irrespective of what it’s called, the market has talked about what amounts to data mesh for several years. The concept of decentralized data management that is driven by business domains helps support the need for business-focused data outcomes. It also helps place value on where the value of data projects should be - on business needs. Data driven organizations need to look at business domains as a way of organizing the various desired outcomes of analytics and data movement initiatives.