ANALYTICS ON BIG DATA: WHY IT MATTERS
Organizations are collecting more diverse and complex data than ever before. For many organizations, the most interesting business insights now come from machines and sensors. The ability to perform analytics on big data, and derive meaningful insights is critical.
Analytics on big data sets receives a lot of hype but in reality, few companies have been able to unlock insights from Big Data.
Deliver rapid insights with analytics on big data in the AI Data Cloud
Not all data software is created equal. Snowflake is purpose-built to harness the power of big data analytics. Snowflake’s architecture physically separates but logically integrates storage and compute and offers full relational database support for structured and semi-structured data. A data warehouse built for the cloud allows organizations to:
Combine all their data, no matter the type—corporate data and data from blogs, mobile devices, IoT devices, and more—into a single solution that enables data-driven insights
Avoid disparate data silos, difficult data integration, and complex data pipeline transformation
Deliver consistent performance at any scale without manual tuning or optimization, because Snowflake’s cloud architecture delivers outstanding performance at any scale of data, workload, and concurrency
Analytics on big data in action
Whether you are exploring how to optimize financial data analytics or analytics for healthcare, retail, gaming, or other data-intensive businesses, you can now easily test the application of analytics on big data in action.