Merge pull request #180571 from DerekHerman-MSFT/patch-16

Update data-lake-storage-best-practices.md

Author: PRMerger5

articles/storage/blobs/data-lake-storage-best-practices.md

@@ -85,7 +85,7 @@ Consider using the Avro file format in cases where your I/O patterns are more wr
 
 Consider Parquet and ORC file formats when the I/O patterns are more read heavy or when the query patterns are focused on a subset of columns in the records. Read transactions can be optimized to retrieve specific columns instead of reading the entire record.
 
-Apache Parquet is an open source file format that is optimized for read heavy analytics pipelines. The columnar storage structure of Parquet lets you skip over non-relevant data. You're queries are much more efficient because they can narrowly scope which data to send from storage to the analytics engine. Also, because similar data types (for a column) are stored together, Parquet supports efficient data compression and encoding schemes that can lower data storage costs. Services such as [Azure Synapse Analytics](../../synapse-analytics/overview-what-is.md), [Azure Databricks](/azure/databricks/scenarios/what-is-azure-databricks) and [Azure Data Factory](../../data-factory/introduction.md) have native functionality that take advantage of Parquet file formats.
+Apache Parquet is an open source file format that is optimized for read heavy analytics pipelines. The columnar storage structure of Parquet lets you skip over non-relevant data. Your queries are much more efficient because they can narrowly scope which data to send from storage to the analytics engine. Also, because similar data types (for a column) are stored together, Parquet supports efficient data compression and encoding schemes that can lower data storage costs. Services such as [Azure Synapse Analytics](../../synapse-analytics/overview-what-is.md), [Azure Databricks](/azure/databricks/scenarios/what-is-azure-databricks) and [Azure Data Factory](../../data-factory/introduction.md) have native functionality that take advantage of Parquet file formats.
 
 ### File size