reword the docs intro

Author: exaexa

docs/src/index.md

@@ -1,19 +1,20 @@
 
 # DiDa.jl — simple work with distributed data
 
-This packages provides a relatively simple Distributed Data manipulation and
-processing routines for Julia.
+This packages provides simple Distributed Data manipulation and processing
+routines for Julia.
 
 The design of the package and data manipulation approach is deliberately
 "imperative" and "hands-on", to allow as much user influence on the actual way
-the data are moved and stored in the cluster as possible. It uses the
-`Distributed` package and its infrastructure of workers, and provides a few
-very basic primitives that lightly wrap the `Distributed` package functions
-`remotecall` and `fetch`.
+the data are moved and stored in the cluster as possible. It is based on the
+[`Distributed`](https://docs.julialang.org/en/v1/stdlib/Distributed/) package
+and its infrastructure of remote workers. The basic `Distributed` package
+functions `remotecall` and `fetch` are then wrapper (very lightly) to create a
+simple yet powerful data manipulation interface.
 
 There are also various extra functions to easily run distributed data
-transformations, MapReduce-style algorithms, store and load the data on worker
-local storage (e.g. to prevent memory exhaustion) and others.
+transformations, MapReduce-style algorithms, store and load the data remotely
+on worker-local storage (e.g. to prevent memory exhaustion) and others.
 
 To start quickly, you can read the tutorial: