Build a data warehouse
A data warehouse is a type of database that is used to store and manage enterprise-wide data for decision making. It stores data from multiple operational systems, such as ERP, CRM, and other sources. Data warehouses enable organizations to access their structured and unstructured data in one unified repository for analytics and reporting purposes.
Create a data lake
A data lake is a large body of structured and unstructured data that can be used for analytics and machine learning applications. It allows organizations to store, explore, analyze, and visualize their data in one place. Data lakes are often located in the cloud, making them easily accessible from any device and location.
Easily access IoT analytics data
IoT analytics is the process of collecting and analyzing data generated by the Internet of Things (IoT) devices. It helps organizations gain insights into their operations, identify trends, and make better decisions about how to use resources more efficiently. With cloud data platforms, organizations can easily access data from their IoT devices and quickly analyze it to gain valuable insights.
Deploy machine learning models
Machine learning is a type of artificial intelligence (AI) that enables computers to learn from data and identify patterns without being explicitly programmed. Cloud data platforms make it easy for organizations to deploy machine learning models, store large volumes of data, and get faster insights.
Quickly find insights with big data analytics
Big data analytics is the process of extracting insights from large and complex datasets. Organizations use big data analytics to uncover trends, identify customer behavior, assess risk, and make better decisions about how to use resources more efficiently. With cloud data platforms, organizations can quickly access and analyze their large volumes of data for faster insights.
Application development
Cloud data platforms provide developers with the ability to rapidly develop applications using a variety of languages, frameworks, and tools. By leveraging the scalability of cloud computing resources, developers can quickly create highly-scalable applications without needing to invest in expensive hardware.
Leverage business intelligence tools
Cloud data platforms can provide businesses with the ability to quickly and easily generate graphical, interactive reports from large datasets. By leveraging powerful business intelligence & cloud data analytics tools, organizations can quickly visualize their data to gain valuable insights into their operations, customers, and markets.