- What is a data platform? - IBM
A data platform, also referred to as a “data stack,” is composed of five foundational layers: data storage and processing, data ingestion, data transformation, business intelligence (BI) and analytics and data observability
- What Is a Data Platform? | Microsoft Fabric
A data platform is a comprehensive business solution that brings various data tools and capabilities together on one end-to-end system, empowering organizations to deliver value faster by simplifying data ingestion, preparation, storage, and analysis
- What Is A Data Platform And How Do You Build One?
What is a data platform? A data platform is a central repository and processing house for all of an organization’s data A data platform handles the collection, cleansing, transformation, and application of data to generate business insights The role of data platforms has fundamentally shifted
- What is a Data Platform? - MongoDB
Let's delve into what constitutes a data platform, how it's designed, and differentiate between various types such as customer data platforms, big data platforms, and operational data platforms
- What Is a Data Platform? Examples of Big Data Platforms | Built In
What Is a Data Platform? 30 Examples of Big Data Platforms to Know These big data platforms can store and analyze huge volumes of information ranging from transaction data to geotags
- What Is a Data Platform? A Complete Introduction - Splunk
A data architecture is the plan for ingesting, storing, and delivering the data, while the data platform is the machine that accesses, moves, analyzes, correlates, and validates data for end users
- Data Platform: Core Functions and 6 Tools to Know in 2025
A data platform refers to the integrated set of tools and infrastructure used to collect, store, process, and manage data, providing an operational framework for handling data
- What Is a Data Platform? | Concepts | Couchbase
To help you better understand data platforms, this page covers: A data platform is infrastructure that allows organizations to manage, store, process, and analyze large volumes of data It typically includes a combination of hardware, software, and tools designed to support data-related activities
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