Secure, flexible, cost-effective analytics at any scale.
Traditional on-premises solutions for data storage, data management, and analytics are not keeping pace with your data growth. Data silos make analytics of all your data nearly impossible. Your business is suffering from lack of insights and limited agility.
A data lake on Amazon S3 helps you bring your data silos together in its native format, so you can analyze all your data quickly and easily. With Query-in-Place services like Amazon Athena and Amazon Redshift Spectrum, you can even perform analytics directly on data stored in Amazon S3, eliminating the need for expensive and time-consuming extract, transform, and load (ETL) process.
Read our latest whitepaper to see how building your data lake on AWS enables you to:
- Discover, catalog, and integrate your data silos
- Analyze all your data in place, without moving it
- Secure, protect, and manage your data
- Utilize a wide range of analytics, data science, machine learning, and visualization tools