Update README.md (#1)

Adjust names to comply with Trademark fair use

Author: vadimtk

README.md

@@ -1,6 +1,6 @@
-# MongoDB Workload Generator
+# Workload Generator for MongoDB
 
-MongoDB Workload Generator was designed to help MongoDB users effortlessly generate data and simulate workloads for both sharded and non-sharded clusters. The generated workloads include standard CRUD operations, reflecting real-world usage patterns of a MongoDB environment.
+Workload Generator for MongoDB  was designed to help MongoDB users effortlessly generate data and simulate workloads for both sharded and non-sharded clusters. The generated workloads include standard CRUD operations, reflecting real-world usage patterns of a MongoDB environment.
 
 Additionally, the tool supports the creation of realistic workloads by incorporating all CRUD operations through a set of queries that simulate common usage scenarios. Users can also define custom queries to run against collections created by the tool, further enhancing its flexibility and applicability.
 
@@ -20,13 +20,13 @@ The tool consists of 4 files:
 * [mongodbWorkload.py](mongodbWorkload.py)
 * [app.py](app.py)
 
-The only required configuration is in [mongodbCreds.py](mongodbCreds.py), where you define the connection details for your MongoDB cluster. The file is self-explanatory and includes examples to help you set up your environment correctly. You may also extend this file to include additional parameters as needed.
+The only required configuration is in [Creds.py](Creds.py), where you define the connection details for your  cluster. The file is self-explanatory and includes examples to help you set up your environment correctly. You may also extend this file to include additional parameters as needed.
 
 Custom queries can be defined in [mongodbLoadQueries.py](mongodbLoadQueries.py), but this is not a requirement. When adding new queries, ensure they target existing collections and fields generated by the tool to avoid runtime errors.
 
 #### Pre-reqs
 
-MongoDB Workload Generator relies on a few additional Python libraries that are not included by default. To ensure proper functionality, please install the following dependencies:
+Workload Generator for MongoDB relies on a few additional Python libraries that are not included by default. To ensure proper functionality, please install the following dependencies:
 
 - [faker](https://pypi.org/project/Faker/) – Used to generate random fictional data, ideal for bootstrapping databases, stress testing, and creating randomized datasets.
 - [joblib](https://joblib.readthedocs.io/en/stable/) – Enables parallel execution of tasks by leveraging multiple CPU cores.
@@ -99,7 +99,7 @@ You can customize various aspects of the workload, such as execution time, the n
 ./mongodbWorkload.py --help
 usage: mongodbWorkload.py [-h] [--collection_name COLLECTION_NAME] [--collections COLLECTIONS] [--recreate] [--shard] [--runtime RUNTIME] [--batch_size BATCH_SIZE] [--threads THREADS] [--skip_update] [--skip_delete] [--skip_insert] [--skip_select] [--insert_ratio INSERT_RATIO] [--update_ratio UPDATE_RATIO] [--delete_ratio DELETE_RATIO] [--select_ratio SELECT_RATIO] [--report_interval REPORT_INTERVAL] [--cpu_ops] [--optimized] [--cpu CPU] [--log [LOG]]
 
-MongoDB Workload Generator
+Workload Generator for MongoDB
 
 options:
   -h, --help                          show this help message and exit