What is the recently popular data mesh concept and its benefits? With the growing number of data sources and need for agility, a decentralized data architecture concept- Data Mesh can be explored to enforce data quality and governance adherence
With the growing number of data sources and need for agility, a decentralized data architecture concept- Data Mesh can be explored to enforce data quality and governance adherence. Data Mesh achieves this via decentralizing the data responsibility to domain level and making high quality transformed data only available as a product.
Every year more data is produced globally. This holds also for companies: more details than ever are recorded from customers, partners, transactions, products and supply chain resulting in more data. According to IDC , “the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025”. This data forms the raw material from which organizations are drawing valuable, actionable insights. But the collection, integration and governance of this data is still one of the main challenges and inhibitors as established in recent research by Deloitte.
In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.
The first step is to understand what is data governance. Data Governance is an overloaded term and means different things to different people. It has been helpful to define Data Governance based on the outcomes it is supposed to deliver. In my case, Data Governance is any task required for.
A data expert discusses the three different types of data lakes and how data lakes can be used with data sets not considered 'big data.'
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.