Data Modeling Methodology for Data Fabric Success
The key to success with a data fabric is to approach it with an MVP mindset and do strictly the minimal work to accomplish the first significant tranche of business value. Read on to learn about a methodology that will ensure success.
Data Fabric 101: The Next Generation of Enterprise IT
Data fabric is ushering in a new era of enterprise IT. Data fabric offers a different way forward and one that’s a significant departure from the world of rows and columns in a table that we’re used to. But what outcomes does a data fabric really promise? Read on to learn more.
Conventional Data Integration is No Longer Sufficient
The original premise of data integration was focused on the correct goal of unifying data, but its execution was fundamentally flawed in that it sought to consolidate all enterprise data into one physical place. After fifty years of data warehouses and other ETL-based solutions, it’s clear that their promise for fast, complete analysis has fallen short.
How Data Fabrics Modernize Existing Data Management Investments
While previous technologies such as data lakes, data catalogs, and data integration platforms have promised to end data silos, the truth is, data silos are inevitable! They exist for very good reasons. They allow for local control and governance when it is important to a particular part of your business. Some data must be stored apart from other data to comply with legal regulation or simply for legacy business reasons.
How Data Reusability Accelerates your Enterprise
Data reusability holds promise for enterprises facing increasing market pressure to innovate. How can a data strategy stand up to this pressure? The key is building a reusable data foundation. Instead of starting from scratch for each new project, what if you could stand on the shoulder of giants? Read on to learn how a data fabric can create a reusable foundation to power iterative innovation.
What is an Enterprise Data Fabric?
Traditional data management strategies centered around relational data systems are fundamentally broken. Enterprise data fabrics offer a new way forward allowing organizations to shift from reactive to responsive data strategies.