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new 4957064cce Fixed typos in hop-usps.adoc (#3952) (#3953)
4957064cce is described below
commit 4957064cce4f4d89bcbccd242c4a41bd66e24e5c
Author: Hans Van Akelyen <[email protected]>
AuthorDate: Mon May 20 12:02:14 2024 +0200
Fixed typos in hop-usps.adoc (#3952) (#3953)
* Fixed typos in hop-usps.adoc
* Replaced transformations with pipelines
Co-authored-by: dsanderbi <[email protected]>
---
docs/hop-user-manual/modules/ROOT/pages/hop-usps.adoc | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/docs/hop-user-manual/modules/ROOT/pages/hop-usps.adoc
b/docs/hop-user-manual/modules/ROOT/pages/hop-usps.adoc
index 9f5368d46f..427829fff4 100644
--- a/docs/hop-user-manual/modules/ROOT/pages/hop-usps.adoc
+++ b/docs/hop-user-manual/modules/ROOT/pages/hop-usps.adoc
@@ -29,11 +29,11 @@ In the next paragraphs, we’ll take a closer look at what
makes Hop unique, and
Metadata is the single most important concept in Apache Hop. Metadata is what
drives everything: from workflows and pipelines over connections to a large
variety of platforms to run configurations, every item you work with in Hop is
defined as metadata.
-Hops metadata driven approach is taken to the next level with metadata
injection (MDI). Metadata injection pipelines use a template pipeline and
inject the necessary metadata in runtime. This significantly reduces the amount
of repetitive manual development, resulting in smaller and more manageable
pipeline code.
+Hop's metadata-driven approach is taken to the next level with metadata
injection (MDI). Metadata injection pipelines use a template pipeline and
inject the necessary metadata in runtime. This significantly reduces the amount
of repetitive manual development, resulting in smaller and more manageable
pipeline code.
== Visual Code Editor
-Hop GUI is a full-blown visual IDE that is available on the desktop (Windows,
Mac OS and Linux) and in your browser (Hop Web). With Hop Gui, data developers
can visually design, run and debug workflows and pipelines. This visual way of
working give developers the power to be more productive than they could ever be
with “real” hand-crafted code.
+Hop GUI is a full-blown visual IDE that is available on the desktop (Windows,
Mac OS and Linux) and in your browser (Hop Web). With Hop GUI, data developers
can visually design, run and debug workflows and pipelines. This visual way of
working gives developers the power to be more productive than they could ever
be with “real” hand-crafted code.
Not only are Hop workflows and pipelines easy to create with the visual
editor, maintaining visual code is a lot easier as well. Identifying and fixing
a problem in a well-defined visual layout is a lot easier than it would be if
you had to scroll through lines and lines of source code.
@@ -51,16 +51,16 @@ Hop supports its own native runtime engine that can be used
both locally and on
== Unit and Integration Testing
-Through proper logging and monitoring, you’ll know if your Hop workflows and
errors run without any errors. However, that doesn’t tell you anything about
whether your data has been processed correctly. Hop’s unit testing offers data
developers a way to validate the data processing against a golden data set, so
you’ll not only know your workflows and pipelines run without any errors, but
also that the data was processed as expected. Regression tests guarantee that a
bug that was once fixe [...]
+Through proper logging and monitoring, you’ll know if your Hop workflows and
pipelines run without any errors. However, that doesn’t tell you anything about
whether your data has been processed correctly. Hop’s unit testing offers data
developers a way to validate the data processing against a golden data set, so
you’ll not only know your workflows and pipelines run without any errors, but
also that the data was processed as expected. Regression tests guarantee that a
bug that was once f [...]
== Projects and environments
All major data endeavours cover more than a single topic. Typical data teams
cover multiple topics and run those in a number of environments. Hop projects
and environments allow data teams to organize their work in separate Hop
projects, typically with different environment configurations per project.
-Hop projects and environments, both in separate version control repositories,
allow your projects to be taken over development, through testing into
production while keeping complete control and overview.
+Hop projects and environments, both in separate version control repositories,
allow your projects to be taken over development, through testing, into
production while keeping complete control and overview.
== Life Cycle Management
Hop offers all the tools required to keep full control over your data
project’s life cycle. Hop integrates and evolves with your data architecture
and your projects and environments both managed in version control, managed
runtime configurations and a library of unit, regression and integration tests,
your Hop implementation is in perfect shape.
-The workflows and pipelines in your Hop projects can be run continuously from
CI/CD pipelines, validating and testing every step in the process and
processing your data exactly the way you intend it to. Even though other
platforms allow to be implemented this way, Hop is unique in that it was
designed exactly to build robust, end-to-end data processing and orchestration
solutions.
\ No newline at end of file
+The workflows and pipelines in your Hop projects can be run continuously from
CI/CD pipelines, validating and testing every step in the process and
processing your data exactly the way you intend it to. Even though other
platforms allow to be implemented this way, Hop is unique in that it was
designed exactly to build robust, end-to-end data processing and orchestration
solutions.
