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     new 73839d9  Update README.md
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commit 73839d9a9d672a085ba993844054a3cc0380b6a2
Author: Zoi Kaoudi <[email protected]>
AuthorDate: Wed Oct 20 00:06:00 2021 +0200

    Update README.md
    
    Fixed some typos
---
 README.md | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index ff9c25b..391d0d3 100644
--- a/README.md
+++ b/README.md
@@ -7,12 +7,11 @@
 ![GitHub 
forks](https://img.shields.io/github/forks/apache/incubator-wayang?style=for-the-badge)
 ![GitHub Repo 
stars](https://img.shields.io/github/stars/apache/incubator-wayang?style=for-the-badge)
 
-#### Turning a shadows into a show
+#### The first cross-platform data processing system
 
+In contrast to traditional data processing systems that provide one dedicated 
execution engine, Apache Wayang is a *cross-platform data processing system*: 
Users can specify any data processing application using one of Wayang's API and 
then Wayang will choose the data processing platform(s), e.g., Postgres or 
Apache Spark, that best fits the application. Finally, Wayang will perform the 
execution, thereby hiding the different platform-specific APIs and coordinating 
inter-platform communication.
 
-Apache Wayang in contrast to classical data processing systems that provide 
one dedicated execution engine, Apache Wayang rather is a *meta processing 
framework*: You can specify your data processing app via one of Wayang's API 
and then Wayang will pick an optimal configuration of classical processing 
frameworks, such as Java Streams or Apache Spark, to run your app on. Finally, 
Wayang will also perform the execution, thereby hiding the different specific 
platform APIs and coordinate int [...]
-
-This approach aims at freeing data engineers and software developers from the 
burden of knowing the zoo of different data processing systems, their APIs, 
strengths and weakness; the intricacies of coordinating and integrating 
different processing platforms; and the inflexibility when tying to a fix set 
of processing platforms. As of now, Wayang has built in support for the 
following processing platforms:
+Apache Wayang aims at freeing data engineers and software developers from the 
burden of learning all different data processing systems, their APIs, strengths 
and weaknesses; the intricacies of coordinating and integrating different 
processing platforms; and the inflexibility when trying a fixed set of 
processing platforms. As of now, Wayang has built-in support for the following 
processing platforms:
 - [Java 
Streams](https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html)
 - [Apache Spark](https://spark.apache.org/)
 - [GraphChi](https://github.com/GraphChi/graphchi-java)
@@ -22,11 +21,11 @@ This approach aims at freeing data engineers and software 
developers from the bu
 ## How to use Wayang
 
 **Requirements.**
-Apache Wayang is built with Java 8 and Scala 2.11. However, to execute Wayang 
it is sufficient to have Java 8 installed. If you want to build Wayang 
yourself, you will also need to have [Apache Maven](http://maven.apache.org) 
installed and Apache Hadoop (The version that you want). Please also consider 
that processing platforms employed by Wayang might have further requirements.
+Apache Wayang is built with Java 8 and Scala 2.11. However, to execute Wayang 
it is sufficient to have Java 8 installed. If you want to build Wayang 
yourself, you will also need to have [Apache Maven](http://maven.apache.org) 
installed and Apache Hadoop (the version that you want). Please also consider 
that processing platforms employed by Wayang might have further requirements.
 
-> **NOTE:** In windows, you need to define the variable `HADOOP_HOME` with the 
winutils.exe, an not official option to obtain [this 
repository](https://github.com/steveloughran/winutils), or you can generate 
your winutils.exe following the instruction in the repository. Also, you may 
need to install 
[msvcr100.dll](https://www.microsoft.com/en-us/download/details.aspx?id=26999)
+> **NOTE:** In windows, you need to define the variable `HADOOP_HOME` with the 
winutils.exe, an not official option to obtain [this 
repository](https://github.com/steveloughran/winutils), or you can generate 
your winutils.exe following the instructions in the repository. Also, you may 
need to install 
[msvcr100.dll](https://www.microsoft.com/en-us/download/details.aspx?id=26999)
 
-> **NOTE:** Currently Apache Wayang is updating Java and Scala, consider that 
for you be enable to utilize Scala 2.12 you will need to install Java 11 in 
your enviroment
+> **NOTE:** Currently Apache Wayang is updating Java and Scala, consider that 
to be able to utilize Scala 2.12 you will need to install Java 11 in your 
enviroment
 
 **Get Wayang.**
 Wayang is available via Maven Central. To use it with Maven, for instance, 
include the following into you POM file:

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