Skip to content

Commit 2e6bc70

Browse files
authored
Merge pull request #295547 from whhender/February-Freshness-2025
February freshness 2025 part 2
2 parents 518c918 + ef56b6b commit 2e6bc70

File tree

7 files changed

+43
-43
lines changed

7 files changed

+43
-43
lines changed

articles/synapse-analytics/database-designer/overview-database-templates.md

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -7,15 +7,15 @@ ms.reviewer: wiassaf
77
ms.service: azure-synapse-analytics
88
ms.subservice: database-editor
99
ms.topic: overview
10-
ms.date: 10/16/2023
10+
ms.date: 02/25/2025
1111
ms.custom: template-overview
1212
---
1313

1414
# What are Azure Synapse database templates?
1515

1616
Data takes many forms as it moves from source systems to data warehouses and data marts with the intent to solve business problems. Database templates can help with the transformation of data into insights.
1717

18-
Database templates are a set of business and technical data definitions that are pre-designed to meet the needs of a particular industry. They act as blueprints that provide common elements derived from best practices, government regulations, and the complex data and analytic needs of an industry-specific organization.
18+
Database templates are a set of business and technical data definitions that are predesigned to meet the needs of a particular industry. They act as blueprints that provide common elements derived from best practices, government regulations, and the complex data and analytic needs of an industry-specific organization.
1919

2020
These schema blueprints can be used by organizations to plan, architect, and design data solutions for data governance, reporting, business intelligence, and advanced analytics. The data models provide integrated business-wide information architectures that can help you implement, in a timely and predictable way, a proven industry data architecture.
2121

@@ -50,7 +50,7 @@ Currently, you can choose from the following database templates in Azure Synapse
5050
* **Freight & Logistics** - For companies that provide freight and logistics services.
5151
* **Fund Management** - For companies that manage investment funds for investors.
5252
* **Genomics** - For companies acquiring and analyzing genomic data about human beings or other species.
53-
* **Government** - For organizations controlling, regulating or providing services to a country/region, state or province, or community.
53+
* **Government** - For organizations controlling, regulating, or providing services to a country/region, state or province, or community.
5454
* **Healthcare Insurance** - For organizations providing insurance to cover healthcare needs (sometimes known as Payors).
5555
* **Healthcare Provider** - For organizations providing healthcare services.
5656
* **Life Insurance & Annuities** - For companies that provide life insurance, sell annuities, or both.
@@ -66,10 +66,10 @@ Currently, you can choose from the following database templates in Azure Synapse
6666
* **Travel Services** - For companies providing booking services for airlines, hotels, car rentals, cruises, and vacation packages.
6767
* **Utilities** - For gas, electric, and water utilities; power generators; and water desalinators.
6868
* **Wireless** - For companies providing a range of wireless telecommunications services.
69-
69+
7070
As emission and carbon management is an important discussion in all industries, so we've included those components in all the available database templates. These components make it easy for companies who need to track and report their direct and indirect greenhouse gas emissions.
7171

72-
## Next steps
72+
## Related content
7373

7474
Continue to explore the capabilities of the database designer using the links below.
7575
* [Database templates concept](concepts-database-templates.md)

articles/synapse-analytics/security/how-to-review-synapse-rbac-role-assignments.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@ author: meenalsri
55
ms.service: azure-synapse-analytics
66
ms.topic: how-to
77
ms.subservice: security
8-
ms.date: 3/07/2022
8+
ms.date: 02/25/2025
99
ms.author: mesrivas
1010
ms.reviewer: whhender, wiassaf
1111
---
@@ -41,7 +41,7 @@ If a principal is assigned the same role at different scopes, you'll see multipl
4141

4242
If a role is assigned to a security group, you'll see the roles explicitly assigned to the group but not roles inherited from parent groups.
4343

44-
You can filter the list by principal name or email, and selectively filter the object types, roles, and scopes. enter your name or email alias in the Name filter to see roles assigned to you. Only a Synapse Administrator can change your roles.
44+
You can filter the list by principal name or email, and selectively filter the object types, roles, and scopes. Enter your name or email alias in the Name filter to see roles assigned to you. Only a Synapse Administrator can change your roles.
4545

4646
>[!Important]
4747
>If you are directly or indirectly a member of a group that is assigned roles, you may have permissions that are not shown.
@@ -51,7 +51,7 @@ You can filter the list by principal name or email, and selectively filter the o
5151
5252
If you create a new workspace, you and the workspace MSI service principal are automatically given the Synapse Administrator role at workspace scope.
5353

54-
## Next steps
54+
## Related content
5555

5656
Learn [how to manage Synapse RBAC role assignments](./how-to-manage-synapse-rbac-role-assignments.md).
5757

Loading

articles/synapse-analytics/sql-data-warehouse/cheat-sheet.md

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -3,7 +3,7 @@ title: Cheat sheet for dedicated SQL pool (formerly SQL DW)
33
description: Find links and best practices to quickly build your dedicated SQL pool (formerly SQL DW) in Azure Synapse Analytics.
44
author: WilliamDAssafMSFT
55
ms.author: wiassaf
6-
ms.date: 11/04/2019
6+
ms.date: 02/28/2025
77
ms.service: azure-synapse-analytics
88
ms.subservice: sql-dw
99
ms.topic: overview
@@ -48,7 +48,7 @@ Use the following strategies, depending on the table properties:
4848
|:--- |:--- |:--- |
4949
| Replicated | * Small dimension tables in a star schema with less than 2 GB of storage after compression (~5x compression) |* Many write transactions are on table (such as insert, upsert, delete, update)<br></br>* You change Data Warehouse Units (DWU) provisioning frequently<br></br>* You only use 2-3 columns but your table has many columns<br></br>* You index a replicated table |
5050
| Round Robin (default) | * Temporary/staging table<br></br> * No obvious joining key or good candidate column |* Performance is slow due to data movement |
51-
| Hash | * Fact tables<br></br>* Large dimension tables |* The distribution key cannot be updated |
51+
| Hash | * Fact tables<br></br>* Large dimension tables |* The distribution key can't be updated |
5252

5353
**Tips:**
5454

@@ -69,7 +69,7 @@ Indexing is helpful for reading tables quickly. There is a unique set of technol
6969
|:--- |:--- |:--- |
7070
| Heap | * Staging/temporary table<br></br>* Small tables with small lookups |* Any lookup scans the full table |
7171
| Clustered index | * Tables with up to 100 million rows<br></br>* Large tables (more than 100 million rows) with only 1-2 columns heavily used |* Used on a replicated table<br></br>* You have complex queries involving multiple join and Group By operations<br></br>* You make updates on the indexed columns: it takes memory |
72-
| Clustered columnstore index (CCI) (default) | * Large tables (more than 100 million rows) | * Used on a replicated table<br></br>* You make massive update operations on your table<br></br>* You overpartition your table: row groups do not span across different distribution nodes and partitions |
72+
| Clustered columnstore index (CCI) (default) | * Large tables (more than 100 million rows) | * Used on a replicated table<br></br>* You make massive update operations on your table<br></br>* You overpartition your table: row groups don't span across different distribution nodes and partitions |
7373

7474
**Tips:**
7575

@@ -93,7 +93,7 @@ Learn more about [partitions](sql-data-warehouse-tables-partition.md).
9393

9494
## Incremental load
9595

96-
If you're going to incrementally load your data, first make sure that you allocate larger resource classes to loading your data. This is particularly important when loading into tables with clustered columnstore indexes. See [resource classes](resource-classes-for-workload-management.md) for further details.
96+
If you're going to incrementally load your data, first make sure that you allocate larger resource classes to loading your data. This is particularly important when loading into tables with clustered columnstore indexes. See [resource classes](resource-classes-for-workload-management.md) for further details.
9797

9898
We recommend using PolyBase and ADF V2 for automating your ELT pipelines into your data warehouse.
9999

@@ -111,7 +111,7 @@ Learn more about [statistics](sql-data-warehouse-tables-statistics.md).
111111

112112
Resource groups are used as a way to allocate memory to queries. If you need more memory to improve query or loading speed, you should allocate higher resource classes. On the flip side, using larger resource classes impacts concurrency. You want to take that into consideration before moving all of your users to a large resource class.
113113

114-
If you notice that queries take too long, check that your users do not run in large resource classes. Large resource classes consume many concurrency slots. They can cause other queries to queue up.
114+
If you notice that queries take too long, check that your users don't run in large resource classes. Large resource classes consume many concurrency slots. They can cause other queries to queue up.
115115

116116
Finally, by using Gen2 of [dedicated SQL pool (formerly SQL DW)](sql-data-warehouse-overview-what-is.md), each resource class gets 2.5 times more memory than Gen1.
117117

@@ -131,6 +131,6 @@ We recommend considering SQL Database and Azure Analysis Services in a hub-and-s
131131

132132
Learn more about [typical architectures that take advantage of dedicated SQL pool (formerly SQL DW) in Azure Synapse Analytics](/archive/blogs/sqlcat/common-isv-application-patterns-using-azure-sql-data-warehouse).
133133

134-
Deploy in one click your spokes in SQL databases from dedicated SQL pool (formerly SQL DW):
134+
Deploy your spokes in SQL databases from dedicated SQL pool (formerly SQL DW):
135135

136136
[![Image showing a button labeled "Deploy to Azure".](https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/1-CONTRIBUTION-GUIDE/images/deploytoazure.png)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FMicrosoft%2Fsql-data-warehouse-samples%2Fmaster%2Farm-templates%2FsqlDwSpokeDbTemplate%2Fazuredeploy.json)

0 commit comments

Comments
 (0)