[DOC] Minor modification to Streaming docs with regards to parallel data receiving

pwendell tdas

Author: Nishkam Ravi <nravi@cloudera.com>
Author: nishkamravi2 <nishkamravi@gmail.com>
Author: nravi <nravi@c1704.halxg.cloudera.com>

Closes #6544 from nishkamravi2/master_nravi and squashes the following commits:

46e8c03 [Nishkam Ravi] Slight modification to streaming docs

1 files changed, 4 insertions, 4 deletions

diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index bd863d48d5..42b3394787 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -1946,10 +1946,10 @@ creates a single receiver (running on a worker machine) that receives a single s
 Receiving multiple data streams can therefore be achieved by creating multiple input DStreams
 and configuring them to receive different partitions of the data stream from the source(s).
 For example, a single Kafka input DStream receiving two topics of data can be split into two
-Kafka input streams, each receiving only one topic. This would run two receivers on two workers,
-thus allowing data to be received in parallel, and increasing overall throughput. These multiple
-DStream can be unioned together to create a single DStream. Then the transformations that was
-being applied on the single input DStream can applied on the unified stream. This is done as follows.
+Kafka input streams, each receiving only one topic. This would run two receivers,
+allowing data to be received in parallel, and increasing overall throughput. These multiple
+DStreams can be unioned together to create a single DStream. Then the transformations that were
+being applied on a single input DStream can be applied on the unified stream. This is done as follows.
 
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