Unlocking All Your Data to Big Data Analytics
Data lakes are an increasingly popular way to store and analyze large amounts of data in a centralized repository, allowing companies to manage multiple data types from a wide variety of sources in both structured and unstructured formats.
They provide the ability to harness more data from more sources in less time, while empowering users to collaborate and analyze data in different ways, which leads to faster decision making.
Download this data sheet to discover how Syntax helps customers implement a secure, flexible, and cost-effective data lake hosted on Amazon Web Services (AWS) by:
- Defining short-term and long-term analytic needs and developing the process and benefits to get there
- Using best in class AWS building blocks in a serverless architecture to store, transform, and analyze your data, providing enterprise wide KPIs and predictive analytics
- Utilizing managed services to maintain optimization, as well as to help take advantage of the additional long term capabilities
