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   Introduction
   Agents required
   When to use
   Pros n Cons
   Implementation with an example
‱   Q&A
   Snapshot replication
    distributes data exactly as it
    appears at a specific moment
    in time and does not monitor
    for updates to the data.

   When synchronization occurs,
    the entire snapshot is
    generated and sent to
    Subscribers.
   Snapshot agent creates the snapshot of the publisher.
   Distribution agent applies the snapshot to the subscribers.
 Data   changes infrequently.

 Latency
        in synchronization of data
 between publisher and subscriber is
 acceptable.

 Thesize of entire data set being
 replicated is not very large.
 Pros- Snapshot replication has lower
 overhead on publisher than
 transactional/merge replication because
 incremental changes are not tracked.

 Cons - If the dataset being replicated is
 very large, snapshot replication requires
 substantial resources to generate and
 apply the snapshot.
Snapshot Replication
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Snapshot Replication

  • 1.
  • 2.  Introduction  Agents required  When to use  Pros n Cons  Implementation with an example ‱ Q&A
  • 3.  Snapshot replication distributes data exactly as it appears at a specific moment in time and does not monitor for updates to the data.  When synchronization occurs, the entire snapshot is generated and sent to Subscribers.
  • 4.  Snapshot agent creates the snapshot of the publisher.  Distribution agent applies the snapshot to the subscribers.
  • 5.  Data changes infrequently.  Latency in synchronization of data between publisher and subscriber is acceptable.  Thesize of entire data set being replicated is not very large.
  • 6.  Pros- Snapshot replication has lower overhead on publisher than transactional/merge replication because incremental changes are not tracked.  Cons - If the dataset being replicated is very large, snapshot replication requires substantial resources to generate and apply the snapshot.