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    <p>If you already know the PartitionKey and RowKey of an entity you don't have to load it first. The fastest way is to use the CloudTable directly and a <a href="http://msdn.microsoft.com/en-us/library/microsoft.windowsazure.storage.table.dynamictableentity.aspx">DynamicTableEntity</a> like this:</p> <pre><code>var cloudTable = cloudTableClient.GetTableReference("TheTable"); var entity = new DynamicTableEntity("ThePartitionKey", "TheRowKey"); entity.ETag = "*"; cloudTable.Execute(TableOperation.Delete(entity)); </code></pre> <p>If you want to delete a collection of entities which you don't know the RowKeys then you will need to load the entities first and use a <a href="http://www.windowsazure.com/en-us/develop/net/how-to-guides/table-services/#header-8">Batch Operation</a> to delete the entities. Also, you don't need to load all properties of the entities, we just need to know the RowKey so we can again use the same technique as above. For that we use a <a href="http://azure.microsoft.com/en-us/documentation/articles/storage-dotnet-how-to-use-tables/#query-a-subset-of-entity-properties">Projection Query</a> </p> <pre><code>var batchOperation = new TableBatchOperation(); // We need to pass at least one property to project or else // all properties will be fetch in the operation var projectionQuery = new TableQuery&lt;DynamicTableEntity&gt;() .Where(TableQuery.GenerateFilterCondition("PartitionKey", QueryComparisons.Equal, "ThePartitionKey")) .Select(new string[] { "RowKey" }); foreach (var e in table.ExecuteQuery(projectionQuery)) batchOperation.Delete(e); table.ExecuteBatch(batchOperation); </code></pre> <p><strong>A word of caution</strong>: a <em>Batch Operation</em> allows a maximum 100 entities in the batch which must share the same PartitionKey so you may need to split the entities into proper batches for this to work.</p>
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Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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