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  1. Hace 1 día · AWS Extension. The aws extension adds functionality (e.g., authentication) on top of the httpfs extension’s S3 capabilities, using the AWS SDK. Installing and Loading. To install and load the aws extension, run: INSTALL aws; LOAD aws; Features. Usage. Load AWS Credentials. To load the AWS credentials, run: CALL load_aws_credentials();

  2. Hace 4 días · About dbt Core setup. dbt Core is an open-source tool that enables data teams to transform data using analytics engineering best practices. You can install dbt locally in your environment and use dbt Core on the command line. It can communicate with databases through adapters.

  3. Hace 13 horas · So now I have powerbi reports and I want to extract the results of any query and store in Redshift or RDS to build an interactive chatbot where I want to build completely in AWS, how can i do that? I'm curious if that can be done using aws glue or Dataflow gen2

  4. Hace 5 días · What if data arrives _really_ late? --In our opinion, the goal of incremental models is to _approximate_ the "true" table in a fractionof the runtime:- Perform an analysis on the arrival time of data- Figure out your organization's tolerance for correctness- Set the cutoff based on these two inputs- Once a week, perform a `--full-refresh` run ...

  5. Hace 4 días · Frequently asked questions. Runs. Run one model at a time. How do I run one model at a time? To run one model, use the --select flag (or -s flag), followed by the name of the model: $ dbt run --select customers. Check out the model selection syntax documentation for more operators and examples. Edit this page. Last updated on May 23, 2024.

  6. Hace 3 días · Method 1: Using AWS Cloud to Integrate AWS DocumentDB to Redshift AWS DocumentDB to Redshift: Configuration of AWS Cloud for DocumentDB to Redshift Integration. You can use AWS Cloud to integrate DocumentDB to Redshift by following the below steps. To do this, first, ensure the deployment of all the CloudFormation resources.

  7. I plan to utilize Materialized Views on Redshift to optimize certain queries. I anticipate refreshing this Materialized View 6-12 times a day. However, I'm unable to find any clear documentation on the behavior of queries that utilize this MV during it refresh. For instance, let's assume the MV refresh takes approximately 5 minutes.