Vale, descriptive links, fixing janky language

Author: forstisabella

src/connections/storage/data-lakes/index.md

@@ -10,7 +10,7 @@ Segment Data Lakes sends Segment data to a cloud data store (for example AWS S3)
 > info ""
 > Segment Data Lakes is available to Business tier customers only.
 
-To learn more, check out the Segment blog post, [Introducing Segment Data Lakes](https://segment.com/blog/introducing-segment-data-lakes/){:target="_blank"}.
+To learn more, check out the blog post, [Introducing Segment Data Lakes](https://segment.com/blog/introducing-segment-data-lakes/){:target="_blank"}.
 
 
 ## How Segment Data Lakes work
@@ -42,12 +42,12 @@ For detailed instructions on how to configure Segment Data Lakes, see the [Data
 
 ### EMR
 
-Data Lakes uses an EMR cluster to run jobs that load events from all sources into Data Lakes. The [AWS resources portion of the set up instructions](/docs/connections/storage/catalog/data-lakes#step-1---set-up-aws-resources) sets up an EMR cluster using the `m5.xlarge` node type. Data Lakes keeps the cluster  always running, however the cluster auto-scales to ensure it's not always running at full capacity. Check the Terraform module documentation for the [EMR specifications](https://github.com/segmentio/terraform-aws-data-lake/tree/master/modules/emr).
+Data Lakes uses an EMR cluster to run jobs that load events from all sources into Data Lakes. The [AWS resources portion of the set up instructions](/docs/connections/storage/catalog/data-lakes#step-1---set-up-aws-resources) sets up an EMR cluster using the `m5.xlarge` node type. Data Lakes keeps the cluster  always running, however the cluster auto-scales to ensure it's not always running at full capacity. Check the Terraform module documentation for the [EMR specifications](https://github.com/segmentio/terraform-aws-data-lake/tree/master/modules/emr){:target="_blank"}.
 
 ### AWS IAM role
 
 Data Lakes uses an IAM role to grant Segment secure access to your AWS account. The required inputs are:
-- **external_ids**: External IDs are the part of the IAM role which Segment uses to assume the role providing access to your AWS account. You will define the external ID in the IAM role as the Segment Workspace ID in which you want to connect to  Data Lakes. The Segment Workspace ID can be retrieved from the [Segment app](https://app.segment.com/goto-my-workspace/overview)] when navigating to the Settings > General Settings > ID.
+- **external_ids**: External IDs are the part of the IAM role which Segment uses to assume the role providing access to your AWS account. You will define the external ID in the IAM role as the Segment Workspace ID in which you want to connect to  Data Lakes. The Segment Workspace ID can be retrieved from the [Segment app](https://app.segment.com/goto-my-workspace/overview){:target="_blank"} when navigating to the Settings > General Settings > ID.
 - **s3_bucket**: Name of the S3 bucket used by the Data Lake.
 
 
@@ -117,7 +117,7 @@ Once Data Lakes sets a data type for a column, all subsequent data will attempt
 
 **Size mismatch**
 
-If the data type in Glue is wider than the data type for a column in an on-going sync (for example, a decimal vs integer, or string vs integer), then the column is cast to the wider type in the Glue table. If the column is narrower (for example, integer in the table versus decimal in the data), the data might be dropped if it cannot be cast at all, or in the case of numbers, some data might lose precision. The original data in Segment remains in its original format, so you can fix the types and [replay](/docs/guides/what-is-replay/) to ensure no data is lost. Learn more about type casting [here](https://www.w3schools.com/java/java_type_casting.asp){:target="_blank"}.
+If the data type in Glue is wider than the data type for a column in an on-going sync (for example, a decimal vs integer, or string vs integer), then the column is cast to the wider type in the Glue table. If the column is narrower (for example, integer in the table versus decimal in the data), the data might be dropped if it cannot be cast at all, or in the case of numbers, some data might lose precision. The original data in Segment remains in its original format, so you can fix the types and [replay](/docs/guides/what-is-replay/) to ensure no data is lost. Learn more about type casting by reading the [W3School's Java Type Casting](https://www.w3schools.com/java/java_type_casting.asp){:target="_blank"} page.
 
 **Data mismatch**