Currently, there are 2.5 quintillion bytes of data created each day. As the amount of data being generated continues to grow, the need to store, process, and analyze this data is also rising in importance. Without an effective process for managing large data sets, organizations can suffer from an inability to accurately identify business value from their data. Fortunately, data lakes provide the technology that modern businesses need to store data at scale and run in-depth analytics. However, building a data lake is not easy. It can involve numerous manual steps, making the process complex and time-consuming. With ClearScale’s Data Lake Setup, organizations can create the foundation that will allow them to establish a serverless data lake in the cloud capable of storing semi-structured and unstructured data.

Key Activities

• Using technology provided by Amazon Web Services (AWS), ClearScale will help you fill the data lake and metastore with data
• ClearScale will connect an analytical query engine that can be used to try sample queries

Deliverables

• Data lake filled with data
• Sample queries to reveal data insights
• Customized recommendations to take your next step