Case Study

UNIFY DATA LAKES ACROSS MULTIPLE GEOGRAPHIC REGIONS IN THE CLOUD

UNIFY DATA LAKES ACROSS MULTIPLE GEOGRAPHIC REGIONS IN THE CLOUD

Pages 2 Pages

CUSTOMER CASE STUDY Expedia Group is an American online travel shopping company with a portfolio of 20+ brands. The data platform team at Expedia builds petabyte-scale data platforms used by different brands. The analytics & AI platforms serve data scientists and ETL developers around the world. To modernize the data platforms, Expedia has created a central data lake in AWS. However, each brand has historical silos of data lakes in other AWS regions. The data platform team has prohibited users from directly querying data from other regions because of cross-region data transfer costs. On a daily basis, the data platform team replicated petabytes of data to the central data lake. CHALLENGE: Replicating Data Cross-region was Slow, Costly and Error-prone Long time-to-insights. It took hours or

Join for free to read