Hi Ignite team, We need to store and query retail transaction data that is expected to grow to over 50 million records. Each basket-transaction is represented as a JSON object with somewhat varying schema, depending on the type of transaction. And each transaction will contain a varying amount of 'child' item entries.
What programming strategy and cluster architecture would you recommend to optimise querying on such a persistent datastore? (preferably using SQL) Thanks, Jose -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
