From a9433073da10e8e17c9f4b34cc4f23ac2bf93ffd Mon Sep 17 00:00:00 2001 From: zach valenta Date: Tue, 22 Jan 2019 22:09:36 -0500 Subject: [PATCH] fix typo --- docs/index.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index c299112..59990ce 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -10,7 +10,7 @@ dataset: databases for lazy people :hidden: -Although managing data in relational database has plenty of benefits, they're +Although managing data in relational databases has plenty of benefits, they're rarely used in day-to-day work with small to medium scale datasets. But why is that? Why do we see an awful lot of data stored in static files in CSV or JSON format, even though they are hard to query and update incrementally? @@ -20,7 +20,7 @@ easiest solution they find. And in **Python**, a database isn't the simplest solution for storing a bunch of structured data. This is what **dataset** is going to change! -**dataset** provides a simple abstraction layer removes most direct SQL +**dataset** provides a simple abstraction layer that removes most direct SQL statements without the necessity for a full ORM model - essentially, databases can be used like a JSON file or NoSQL store.