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9 changes: 6 additions & 3 deletions Vantage/ajr1640280560519.md
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Expand Up @@ -4,9 +4,6 @@ From the navigation panel, select **Queries**.

With the appropriate query privileges, you can do the following:

- View [details](zvd1688067459510.md) about current or completed queries for all users. This includes implicit queries, which run in the background.


- Drill down to inspect a query's steps.


Expand All @@ -19,3 +16,9 @@ With the appropriate query privileges, you can do the following:
- Cancel current queries for any user.


- [Monitor](poc1712163264099.md) both current and completed queries within a selected timeframe in a single view.


- View [details](zvd1688067459510.md) about current or completed queries for all users. This includes implicit queries, which run in the background.


59 changes: 41 additions & 18 deletions Vantage/bab1682536172420.md
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For complete information on the **April 2024** update and all prior releases, see [What's new](https://docs.teradata.com/access/sources/dita/topic?dita:mapPath=phg1621910019905.ditamap&dita:ditavalPath=pny1626732985837.ditaval&dita:topicPath=lpz1632246643646.dita).
For complete information on the **May 2024** update and all prior releases, see [What's new](https://docs.teradata.com/access/sources/dita/topic?dita:mapPath=phg1621910019905.ditamap&dita:ditavalPath=pny1626732985837.ditaval&dita:topicPath=lpz1632246643646.dita).

## VantageCloud Lake Supported AWS Regions


VantageCloud Lake is now available in the following AWS regions:

- Singapore / ap-southeast-1
- Eurpoe (Frankfurt) / eu-central-1


## VantageCloud Lake Supported Azure Regions


VantageCloud Lake is now available in the following Azure regions:

- Iowa / Central US
- West US 2 (Washington) / westus2


- New South Wales / Australia East
- UK South (London) / uksouth


## Delta Lake Open Table Format Support
## Open Table Format Support


VantageCloud Lake now supports Delta Lake Open Table Format. Using Delta Lake Java APIs, VantageCloud Lake can read open table formats on all supported platforms.
Write capability using new Teradata SQL statements and Java table options is now supported by the Apache Iceberg version 2 and Delta Lake version 3.0 formats. See the May [What's new](https://docs.teradata.com/access/sources/dita/topic?dita:mapPath=phg1621910019905.ditamap&dita:ditavalPath=pny1626732985837.ditaval&dita:topicPath=lpz1632246643646.dita) for feature support.

## Flow Service Available on Microsoft Azure
## Unified Query Summary


Flow provides simple, self-service data loading into VantageCloud Lake through the VantageCloud Lake Console.
Queries now offers a Unified Query Summary view which combines active, failed, and completed queries in one view. You can search, refresh, cancel, and narrow down the time period for the view.

You can use Flow for initial bulk loads, scheduled loads, and continuous loads that recur at the frequency you specify. You can quickly load your data and start analyzing it, and set up continuous load jobs that keep your data and analytics fresh.
## OFS MERGE INTO Statement

## External Stored Procedures in VantageCloud Lake

The MERGE INTO function is now supported on the primary and compute clusters for Object File Storage (OFS) tables.

You can use external stored procedures in VantageCloud Lake. External stored procedures extend the capability of normal SQL in the database. You can create your own external stored procedures or use the ones provided by Teradata. To create or use UDFs and external stored procedures, you must authenticate using a personal access token (PAT).
There can be different execution plans for primary and compute clusters based on different kind of source and target table combinations:

## Third Party Applications (AWS)
- Target-OFS, Source-OFS


The integration of Third Party Applications with VantageCloud Lake is now enhanced to support SAS installation using VantageCloud Lake Console. SAS seamlessly integrates with Teradata and provides efficient data management and analytics capabilities. By using SAS Embedded Process (SAS EP), users can run SAS programs directly within the Analytics Database, enhancing the overall analytics experience. With features like SAS Scoring Accelerator and SAS In-Database Code Accelerator, users can optimize their data processing and analysis workflows.
- Target-OFS, Source refers more than one OFS tables

## Creating and Configuring Reports

- Target-OFS, Source refers both OFS and BFS tables

**Note:** This capability is in public preview and enhancements to functionality and user interface is expected in the future. Contact your account team for more details.

You can create reusable reports from query results for better visualization of data.
- Target-OFS, Source-BFS

## QueryGrid Supports SSO

- Target-BFS, Source-OFS

QueryGrid now supports the JSON Web Token single sign-on (SSO) feature using the JWT SSO authentication mechanism in a Teradata-to-Teradata link between VantageCloud Lake on AWS and VantageCore.

## Enhanced Diagnostics and Extended Logging Capabilities


The enhanced Extended DBQL statistics allow for more granular data collection, enabling the isolation of specific express step executions at the AMP level and their associated user SQL.

The elapsed times of step execution can be readily determined at the AMP level.

Additionally, you can obtain the associated resource usage to identify potential bottlenecks such as CPU or IO. With this feature, the elapsed times can be as precise as microseconds due to the new data being collected.

## New Unbounded Array Framework Functions


The following Unbounded Array Framework functions were added:

- TD_KALMAN_FORECASTER. Generates a forecast and related metrics in secondary output layers. This function extends the linear regression model by accepting time-varying regression coefficients.


- TD_SMOOTHMA_FORECASTER. Applies a user-selected smoothing function to an input series, creating new time series highlighting the trend along with a naïve forecast.


## TD_SHAP


TD_SHAP is a method to explain individual predictions (feature contributions) for a machine learning model based on the cooperative game theory.

## Organizational Forecasted Consumption Alerts

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54 changes: 34 additions & 20 deletions Vantage/base-help-en.json
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{
"id":"bab1682536172420",
"title":"What's new",
"description":"Discover the latest features and updates",
"description":"Discover the latest features and updates.",
"icon":"new_releases",
"url":"Vantage/bab1682536172420.md"
}
,
{
"id":"tta1687442978234",
"title":"Get started",
"description":"Complete these tasks first",
"description":"Complete these tasks first.",
"icon":"person",
"url":"Vantage/tta1687442978234.md"
}
,
{
"id":"apw1640280478763",
"title":"Organization",
"description":"Manage your VantageCloud Lake organization",
"description":"Manage your VantageCloud Lake organization.",
"url":"Vantage/apw1640280478763.md",
"children":[
{
Expand Down Expand Up @@ -91,13 +91,13 @@
{
"id":"sbt1640280496980",
"title":"Environments",
"description":"Load data, run queries, and more",
"description":"Load data, run queries, and more.",
"url":"Vantage/sbt1640280496980.md",
"children":[
{
"id":"qiv1640281527006",
"title":"Create an environment",
"description":"Create an environment for your organization",
"description":"Create an environment for your organization.",
"url":"Vantage/qiv1640281527006.md"
}
,
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{
"id":"vmt1693932844043",
"title":"Compute resources",
"description":"Understand the types",
"description":"Understand the compute resource types.",
"url":"Vantage/vmt1693932844043.md"
}
,
{
"id":"onj1682104977691",
"title":"Consumption",
"description":"View consumed compute and storage resources",
"description":"View consumed compute and storage resources.",
"url":"Vantage/onj1682104977691.md",
"children":[
{
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{
"id":"vsb1703029847518",
"title":"Cost calculator",
"description":"View the organization's total estimated consumption",
"description":"View the organization's total estimated consumption.",
"url":"Vantage/vsb1703029847518.md"
}
,
{
"id":"jlf1663616946889",
"title":"Data sharing",
"description":"Share tables and views with other users",
"description":"Share tables and views with other users.",
"url":"Vantage/jlf1663616946889.md",
"children":[
{
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{
"id":"lxi1695933833104",
"title":"Load data",
"description":"Load or access data",
"description":"Load or access data.",
"url":"Vantage/lxi1695933833104.md"
}
,
{
"id":"xbg1640280430669",
"title":"Editor",
"description":"Write (or build) and run SQL queries",
"description":"Write (or build) and run SQL queries.",
"url":"Vantage/xbg1640280430669.md",
"children":[
{
Expand Down Expand Up @@ -770,13 +770,20 @@
{
"id":"ajr1640280560519",
"title":"Queries",
"description":"View and optimize queries",
"description":"View and optimize queries.",
"url":"Vantage/ajr1640280560519.md",
"children":[
{
"id":"poc1712163264099",
"title":"Monitor queries",
"description":"Discover how to monitor Lake queries.",
"url":"Vantage/poc1712163264099.md"
}
,
{
"id":"zvd1688067459510",
"title":"Query details",
"description":"Understand the information displayed for each query",
"description":"Understand the information displayed for each query.",
"url":"Vantage/zvd1688067459510.md"
}

Expand All @@ -787,7 +794,7 @@
{
"id":"bgr1694118840100",
"title":"Data copy",
"description":"Provision, configure, and run Data copy jobs",
"description":"Provision, configure, and run Data copy jobs.",
"url":"Vantage/bgr1694118840100.md",
"children":[
{
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{
"id":"qpv1707514841101",
"title":"User defined functions",
"description":"Connect to a third-party application for security",
"description":"Connect to a third-party application for security.",
"url":"Vantage/qpv1707514841101.md",
"children":[
{
Expand All @@ -883,7 +890,7 @@
{
"id":"klo1694115175906",
"title":"Account settings",
"description":"Adjust your account settings such as appearance",
"description":"Adjust your account settings such as appearance.",
"url":"Vantage/klo1694115175906.md",
"children":[
{
Expand All @@ -903,10 +910,17 @@

}
,
{
"id":"pmg1709157026832",
"title":"More tools",
"description":"Set up and run Jupyter notebook demos.",
"url":"Vantage/pmg1709157026832.md"
}
,
{
"id":"bkm1640280721917",
"title":"Use cases",
"description":"Run use cases to explore VantageCloud Lake capabilities",
"description":"Run use cases to explore VantageCloud Lake capabilities.",
"icon":"book",
"url":"Vantage/bkm1640280721917.md",
"childrenUrl":"VantageCloudLakeUseCases/use-cases-en.json"
Expand All @@ -915,16 +929,16 @@
{
"id":"nhn1706907203900",
"title":"Documentation",
"description":"Complete VantageCloud Lake documentation",
"description":"Complete VantageCloud Lake documentation.",
"icon":"library_books",
"url":"Vantage/nhn1706907203900.md"
}
,
{
"id":"pkj1706907262368",
"title":"Technical support",
"description":"Create and manage service requests",
"icon":"contact_support",
"description":"Create and manage service requests.",
"icon":"support",
"url":"Vantage/pkj1706907262368.md"
}

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25 changes: 5 additions & 20 deletions Vantage/poc1712163264099.md
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Description of summary columns:
You can monitor both current and completed queries within a specified timeframe by enabling the **Unified summary view**.

- **Duration**: Total duration the query has been running or ran.
When enabled, specify a timeframe to view the status of completed, running, or failed queries. If recent queries are not visible, use the refresh icon to update the list.

**Note:** Organization administrators can also filter by environment and cancel active queries.

- **Start time**: Tme when the query started.
You can search specific queries by using terms from the **Current Status**, **Username**, or **ComputeGroup Name** columns by entering three or more characters in the search bar. The columns can also sort in ascending or descending order.


- **Status**: Current status of the query.


- **Session id**: Unique identifier for each session.


- **Username**: User who submitted the query.


- **Cluster Type**: Compute cluster running the query.


- **SQL**: SQL statement submitted by the user.


**Note:** Organization administrators can filter to select an environment.
**View details** includes all information for the query, including the SQL statement used for the query.

8 changes: 7 additions & 1 deletion Vantage/qiv1640281527006.md
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Expand Up @@ -49,11 +49,17 @@ You can choose your preferred storage encryption:
- **Managed by Teradata** – This is the default option which maintains support for your platform-managed encryption key.


- **Customer managed** – You create and manage the encryption keys within your AWS KMS.
- **Customer managed** – You create and manage the customer managed encryption keys (CMEK) within your AWS KMS.

- Applying a customer managed encryption key works only for new environments at provisioning. Once applied, the storage encryption type cannot be changed on that environment.


- It is your responsibility to update the CMEK policy when new services are introduced.


- Do not modify the key policy in VantageCloud Lake. Update in the AWS KMS.


- See [Creating a Customer Managed Encryption Key for AWS](https://docs.teradata.com/access/sources/dita/topic?dita:topicPath=qly1704828971494.dita) on creating your symmetric software encryption key to use as the CMEK.


2 changes: 1 addition & 1 deletion Vantage/vyx1659391025497.md
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QueryGrid is a data analytics fabric that provides seamless, high-performing data access, processing, and movement across one or more data sources. Deployment of QueryGrid inside VantageCloud Lake is fully automated. Connecting external systems to VantageCloud Lake requires the setup of a private link outside of the VantageCloud Lake environment.
QueryGrid is a data analytics fabric that provides seamless, high-performing data access, processing, and movement across one or more data sources. Deployment of QueryGrid inside VantageCloud Lake is fully automated. Connecting external systems to VantageCloud Lake requires the setup of a private link outside of the VantageCloud Lake environment.

QueryGrid connectivity into VantageCloud Lake occurs over ports 5100 and 9444.

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2 changes: 1 addition & 1 deletion Vantage/xxs1694723933787.md
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To learn more about SQL commands, functions, and database functionality, see [Database Reference](https://docs.teradata.com/access/sources/dita/topic?dita:mapPath=phg1621910019905.ditamap&dita:ditavalPath=pny1626732985837.ditaval&dita:topicPath=iuu1631208554799.dita) in the VantageCloud Lake documentation.
To learn more about SQL commands, functions, and database functionality, see [SQL Reference](https://docs.teradata.com/access/sources/dita/topic?dita:topicPath=pea1690328177947.dita) and [Database Reference](https://docs.teradata.com/access/sources/dita/topic?dita:mapPath=phg1621910019905.ditamap&dita:ditavalPath=pny1626732985837.ditaval&dita:topicPath=iuu1631208554799.dita) in the VantageCloud Lake documentation.

4 changes: 4 additions & 0 deletions Vantage/zvd1688067459510.md
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You can view the details of current or completed queries in the **Queries** and **Unified Query Monitoring** pages.

Descriptions of some key technical details:

- **Primary cluster – Request AMP CPU**
Expand Down Expand Up @@ -35,3 +37,5 @@ Descriptions of some key technical details:
All AMP I/O divided by all AMP CPU, displayed in milliseconds, to reveal large amounts of I/O occurring over a short period of time.


See [Monitoring and Managing Queries](https://docs.teradata.com/access/sources/dita/topic?dita:topicPath=jno1704723425644.dita).

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