Merge branch 'main' into 6-7a

delta-io · Jun 10, 2024 · 5b045e6 · 5b045e6
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diff --git a/src/blog/query-delta-lake-bigquery/index.mdx b/src/blog/query-delta-lake-bigquery/index.mdx
@@ -1,12 +1,12 @@
 ---
 title: "Query Delta Lake natively using BigQuery"
 thumbnail: ./thumbnail.png
-description: Customers using Delta Lake tables can now easily integrate their workloads with BigQuery, ensuring secure and more managed interoperability.
+description: Users working with Delta Lake tables can now easily integrate their workloads with BigQuery, ensuring secure and more managed interoperability.
 date: 2024-06-03
 author: Gaurav Saxena, Justin Levandoski
 ---
 
-Customers using Delta Lake tables can now easily integrate their workloads with BigQuery, ensuring secure and more managed interoperability. BigQuery's native integration with Delta Lake’s log allows its query engine to leverage valuable metadata, simplifying the process of querying Delta tables with improved performance and granular security controls. This integration is another example of BigQuery's continued commitment to an open and unified platform, enabling customers to query data regardless of format or type. BigQuery now supports querying data from all major open table formats, including Apache Iceberg, Apache Hudi, and Delta.io.
+Users working with Delta Lake tables can now easily integrate their workloads with BigQuery, ensuring secure and more managed interoperability. BigQuery's native integration with Delta Lake’s log allows its query engine to leverage valuable metadata, simplifying the process of querying Delta tables with improved performance and granular security controls. This integration is another example of BigQuery's continued commitment to an open and unified platform, enabling users to query data regardless of format or type. BigQuery now supports querying data from all major open table formats, including Apache Iceberg, Apache Hudi, and Delta.io.
 
 The previous method for querying Delta Lake tables required a manifest-based approach, involving manual refreshes and potential read staleness. This new integration streamlines the process by directly parsing the table's state from the Delta log. The use of delta log metadata for query, combined with BigLake’s governance model results in enhanced management, performance, and security.
 

diff --git a/src/blog/unifying-open-table/index.mdx b/src/blog/unifying-open-table/index.mdx
@@ -6,9 +6,9 @@ author: Jonathan Brito, Kyle Weller
 date: 2024-06-06 14:30:00
 ---
 
-[Delta Lake Universal Format](https://docs.delta.io/latest/delta-uniform.html) (UniForm) and [Apache XTable™](https://xtable.apache.org/) (Incubating) have proven customers can build an open data lakehouse agnostic to table format. Both fully open-sourced tools enable customers to write a single copy of data and make it accessible to any engine downstream. Clients can read UniForm as [Delta Lake](https://delta.io/), [Apache Iceberg](https://iceberg.apache.org/), and now through partnership with XTable, [Apache Hudi](https://hudi.apache.org/). With universal support, you can seamlessly interoperate across all 3 open table format ecosystems, providing the data flexibility to choose the right tool for your ETL, ML, BI, and analytics workloads. In this blog, we cover:
+[Delta Lake Universal Format](https://docs.delta.io/latest/delta-uniform.html) (UniForm) and [Apache XTable™](https://xtable.apache.org/) (Incubating) have proven users can build an open data lakehouse agnostic to table format. Both fully open-sourced tools enable users to write a single copy of data and make it accessible to any engine downstream. Clients can read UniForm as [Delta Lake](https://delta.io/), [Apache Iceberg](https://iceberg.apache.org/), and now through partnership with XTable, [Apache Hudi](https://hudi.apache.org/). With universal support, you can seamlessly interoperate across all 3 open table format ecosystems, providing the data flexibility to choose the right tool for your ETL, ML, BI, and analytics workloads. In this blog, we cover:
 
-- Why customers are choosing to interoperate
+- Why users are choosing to interoperate
 - Building a format-agnostic lakehouse with UniForm and XTable
 - How the Delta Lake and XTable communities collaborate
 

diff --git a/src/components/BookDownload.jsx b/src/components/BookDownload.jsx
@@ -124,7 +124,7 @@ const BookDownload = () => (
           architectures with Delta Lake
         </DownloadSubTitle>
 
-        <ButtonDownload download href="/pdfs/DLTDG_ER4.pdf">
+        <ButtonDownload download href="/pdfs/DLDTG_ER5.pdf">
           Download
           <img src={downloadArrow} alt="Download button" />
         </ButtonDownload>

diff --git a/static/pdfs/DLTDG_ER4.pdf → static/pdfs/DLDTG_ER5.pdf b/static/pdfs/DLTDG_ER4.pdf → static/pdfs/DLDTG_ER5.pdf
diff --git a/static/pdfs/DLTDG_ER3.pdf b/static/pdfs/DLTDG_ER3.pdf
diff --git a/static/pdfs/gide-book.pdf b/static/pdfs/gide-book.pdf