Hadoop is in effect a massively fast etl with high latency as the tradeoff.
Other solutions allow different tradeoffs. And some of those occur in Map phase, some in a reduce phase (e.g. Stream or columnar stores). On Oct 7, 2014 11:32 PM, "Dattatrya Moin" <dattatryam...@gmail.com> wrote: > > Hi , > > We have our own ETL , but we are planning to use Hadoop for data > processing as it gives better scalability and performance. As i am new to > hadoop kindly guide to start with Hadoop. Can we replace ETL using Hadoop . > And we have any API to connect to Hadoop using .NET. > > > Thanks, > Dattatrya Moin > >
