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| 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). | ||
| For complete information on the **June 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). | ||
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| ## VantageCloud Lake Supported AWS Regions | ||
| ## VantageCloud Lake on Google Cloud | ||
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| VantageCloud Lake is now available in the following AWS regions: | ||
| VantageCloud Lake is now available on Google Cloud in the following regions: | ||
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| - Eurpoe (Frankfurt) / eu-central-1 | ||
| |North America Region Name|Region| | ||
| |--------------------------|-------| | ||
| |United States (Northern Virginia)|us-east4| | ||
| |United States (Oregon)|us-west1| | ||
| |United States (Las Vegas)|us-west4| | ||
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| |European Region Name|Region| | ||
| |---------------------|-------| | ||
| |Belgium (St. Ghislain)|europe-west1| | ||
| |United Kingdom (London)|europe-west2| | ||
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| ## VantageCloud Lake Supported Azure Regions | ||
| ## QueryGrid (Google Cloud) | ||
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| VantageCloud Lake is now available in the following Azure regions: | ||
| QueryGrid 3.05 supports VantageCloud Lake on Google Cloud with the following connectivity options: | ||
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| - West US 2 (Washington) / westus2 | ||
| - VantageCloud Enterprise on Google Cloud | ||
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| - UK South (London) / uksouth | ||
| - VantageCore (on premises) | ||
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| ## Open Table Format Support | ||
| - QueryGrid Generic JDBC connector | ||
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| 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. | ||
| - QueryGrid BigQuery connector | ||
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| ## Unified Query Summary | ||
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| ## In-Place Data Sharing on Google Cloud | ||
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| Data Sharing now supports AWS, Azure, and Google Cloud. You can share datasets in-place in AWS, Azure, and Google Cloud between users of the same environment through the VantageCloud Lake Console to foster collaboration. | ||
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| ## Answering Questions with ask.ai (AWS) | ||
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| AWS: ask.ai - previously a limited availability feature is now GA on AWS. | ||
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| ask.ai allows you to use a chat bot interface to ask questions using natural language. Access ask.ai using  in the left sidebar. | ||
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| Users with different roles can get different information according to their needs. | ||
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| An administrator can ask questions about the system or environment, such as the following: | ||
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| - What is the current consumption of this environment? | ||
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| 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. | ||
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| ## OFS MERGE INTO Statement | ||
| - Which region was this environment provisioned in? | ||
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| The MERGE INTO function is now supported on the primary and compute clusters for Object File Storage (OFS) tables. | ||
| All users can ask questions from documentation, such as the following: | ||
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| There can be different execution plans for primary and compute clusters based on different kind of source and target table combinations: | ||
| - What is the syntax for a SQL function (for example, create table)? | ||
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| - Target-OFS, Source-OFS | ||
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| - Describe the NaiveBayes Classifier function. | ||
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| - Target-OFS, Source refers more than one OFS tables | ||
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| - Give me SQL for an nPath statement. | ||
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| - Target-OFS, Source refers both OFS and BFS tables | ||
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| - What is a compute group? | ||
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| - Target-OFS, Source-BFS | ||
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| No information is sent to the cloud service provider. Content is retrieved from Teradata products such as documentation and function descriptions. This release does not provide access to your data. | ||
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| - Target-BFS, Source-OFS | ||
| ## Customer Managed Encryption Keys (Azure) | ||
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| ## Enhanced Diagnostics and Extended Logging Capabilities | ||
| On Azure, Teradata now supports CMEK, including key rotation. You set up CMEK when creating the Environment. | ||
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| ## Open Analytics Framework Support of Python and R Model Training | ||
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| 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. | ||
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| The elapsed times of step execution can be readily determined at the AMP level. | ||
| Open Analytics Framework now supports the following: | ||
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| 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. | ||
| - Model training using Python and R language and libraries | ||
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| ## New Unbounded Array Framework Functions | ||
| Use of CLOB/BLOB with Apply Table Operator | ||
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| The following Unbounded Array Framework functions were added: | ||
| ## Teradata Package for Python | ||
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| - 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. | ||
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| Teradata Package for Python now supports the following: | ||
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| - 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. | ||
| - AutoML of ClearScape in-database Machine Learning functions | ||
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| ## TD_SHAP | ||
| - HyperParameter tuning and visualization | ||
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| - OpenSourceML module for running Python Scikit-learn functions in Vantage | ||
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| - Pyspark2teradataml – pyspark script conversion tool for migrating Databricks/Hadoop workload to Vantage | ||
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| ## Managing Reports | ||
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| You can now perform various operations, such as edit a report, delete a report, and also refresh data for a report. | ||
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| ## Unified Query Summary | ||
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| TD_SHAP is a method to explain individual predictions (feature contributions) for a machine learning model based on the cooperative game theory. | ||
| You can now filter the **Unified Query Summary** view into selected groups. | ||
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| ## Organizational Forecasted Consumption Alerts | ||
| ## Session Monitoring Support | ||
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| You can customize alerts to notify you that the organization's consumption is approaching a specified threshold. Organization admins will now receive an email alert when the organizational forecasted consumption reaches the specified threshold. | ||
| The QueryID and CollectionTime fields were added to support session monitoring. | ||
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| ## ORDER BY Clause Supports Expressions in CREATE TABLE and CREATE TABLE AS for OFS Tables | ||
| ## Consumption metrics for Disaster Recovery | ||
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| The ORDER BY clause of the Object File System form of the CREATE TABLE and CREATE TABLE AS statements now supports expressions | ||
| You can now view the disaster recovery consumption, at site level. | ||
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| ## Mapping Join Indexes for Object File System Tables | ||
| ## Set the Default Character Set Using the Console | ||
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| When you create a Block File System single-table join index with ROWID on an Object File System table, Vantage also creates a mapping join index on the table. The Optimizer uses the mapping join index in query planning to improve the performance of tactical queries on the table. | ||
| You can now set the user's default character set (Latin or Unicode) using the console. | ||
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| ## Repurpose an Existing Site for Disaster Recovery | ||
| ## WRITE_NOS Maximum File Size Support | ||
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| You can now set up a disaster recovery (DR) solution by repurposing an existing site as a DR site in a different region or zone. | ||
| The maximum file size supported is 512 MB for Parquet and CSV. | ||
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| ## Backup and Restore Unavailability during VantageCloud Lake Upgrades | ||
| ## max_models Argument Added to teradataml | ||
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| The backup and restore activities are not available while VantageCloud Lake upgrades are in progress. | ||
| An optional max_models argument has been added as an early stopping criterion to limit the maximum number of models to be trained. | ||
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