Polish user_technical

Reviewers: buda

Reviewed By: buda

Differential Revision: https://phabricator.memgraph.io/D1562

docs/user_technical/how-to_guides/how-to_guides_overview.md

@@ -8,4 +8,4 @@ So far we have covered the following topics:
 
   * [Import Tools](import_tools.md)
   * [Programmatic Querying](programmatic_querying.md)
-  * [Integrations](integrations.md)
+  * [How to Ingest Data Using Kafka](how_to_ingest_data_using_kafka.md)

docs/user_technical/how-to_guides/how_to_ingest_data_using_kafka.md

@@ -1,6 +1,4 @@
-## Integrations
+## How to Ingest Data Using Kafka
-
-### Kafka
 
 Apache Kafka is an open-source stream-processing software platform. The project
 aims to provide a unified, high-throughput, low-latency platform for handling
@@ -10,7 +8,7 @@ Memgraph offers easy data import at the source using Kafka as the
 high-throughput messaging system.
 
 At this point, we strongly advise you to read the streaming section of our
-[reference guide](../reference_guide/streaming.md)
+[reference guide](../reference_guide/graph_streams.md)
 
 In this article, we assume you have a local instance of Kafka. You can find
 more about running Kafka [here](https://kafka.apache.org/quickstart).

docs/user_technical/how-to_guides/programmatic_querying.md

@@ -211,14 +211,3 @@ public class Basic {
   }
 }
 ```
-
-### Limitations
-
-Memgraph is currently in an early stage, and therefore has certain limitations
-we plan to remove in future versions.
-
-#### Multiple Users & Authorization
-
-At the moment, Memgraph is single-user only and there is no way to control user
-privileges, meaning that the default user has read and write privileges over
-the whole database.

docs/user_technical/reference_guide/dynamic_graph_partitioner.md

@@ -1,6 +1,9 @@
 ## Dynamic Graph Partitioner
 
-Memgraph supports dynamic graph partitioning which improves performance on badly
+Memgraph supports dynamic graph partitioning which dynamically improves
-partitioned dataset over workers dynamically. To enable it, use the
+performance on badly partitioned dataset over workers. To enable it, the user
+should use the following flag when firing up the *master* node:
 
-```--dynamic_graph_partitioner_enabled``` flag.
+```plaintext
+--dynamic_graph_partitioner_enable
+```

docs/user_technical/reference_guide/graph_streams.md

@@ -1,5 +1,7 @@
 ## Graph Streams
 
+### Kafka
+
 Memgraphs custom openCypher clause for creating a stream is:
 ```opencypher
 CREATE STREAM stream_name AS
@@ -66,7 +68,7 @@ is inserted into the graph.
 A stream needs to be stopped in order to test it. When the batch limit is
 omitted, `TEST STREAM` will run for only one batch by default.
 
-### Transform
+#### Transform
 
 The transform script allows Memgraph users to have custom Kafka messages and
 still be able to import data in Memgraph by adding the logic to decode the