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    • Home
    • Product
    • Solutions
      • Data warehouse
      • Data lake
      • Data sharing
    • CUSTOMER SUCCESS
      • Hengfeng Bank
      • China Mobile
    • Contact
    • About
  • Home
  • Product
  • Solutions
    • Data warehouse
    • Data lake
    • Data sharing
  • CUSTOMER SUCCESS
    • Hengfeng Bank
    • China Mobile
  • Contact
  • About

Data sharing within and across org

Background

Problems faced by traditional data sharing:

  • Data isolation and poor real-time availability
  • Too many data copy operations lead to serious data redundancy
  • Data is stored by cluster on local disk, cannot be shared across clusters

Architecture

Benefits

Shared-Everything: Any cluster can access any data

Shared-Everything: Any cluster can access any data

Shared-Everything: Any cluster can access any data

  • In an integrated data lake, data is fully shared.

Strong data consistency across clusters

Shared-Everything: Any cluster can access any data

Shared-Everything: Any cluster can access any data

  • Data copies and redundancy are completely eliminated and data is available in real-time.

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