5 Features of a Modern Data Architecture

Data has become the new currency in the business world. Earlier data would only mean operational data and various databases. The proof of this lies in the fact that if you Google the term database or data architecture, you will receive responses such as Hadoop, NoSQL, etc. But when you have data coming in from all sides of the ecosystem, it becomes that much tougher to manage all of the data, and hence the importance of a modern data architecture creeps up.

What is Data Architecture?

Data architecture is a system in place in which all the data policies are defined in terms of collecting, organizing and using of the data. The previous data architecture was capable of handling the data of the past but the new data types require a more sophisticated architecture, and hence the need for modern data architecture components. Today, data is available from multiple sources such as sensor data, social media, IoT, operational logs, etc. and they are not similar in nature, thus requiring a new form of data architecture. Hence, following are some features of a modern data architecture and how they can benefit you.

Key Features of a Modern Data Architecture

1. Efficient Data Accessibility:
A major problem faced with handling data nowadays is its flow. The right data is not reaching the right people, and the modern data architecture takes care of this issue. It ensures that the data is accessible easily for the people for whom the data is relevant, and hence makes the data availability more effective.

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