Dashboards Data Transformation Reference Snapshot 
AWS Big Data
JULY 26, 2023
Plan In the planning phase, developers collect requirements from stakeholders such as end-users to define a data requirement. You can use your preferred IDE to implement AWS resource definition using the AWS Cloud Development Kit (AWS CDK) or AWS CloudFormation , and also the business logic of AWS Glue job scripts for data integration.
AWS Big Data
MARCH 16, 2023
A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models. Refer to Managing Amazon Redshift Serverless using the console for setup steps. We create a datashare called prod_datashare to allow the serverless instance access to data in the provisioned cluster.
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AWS Big Data
OCTOBER 11, 2023
Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.
AWS Big Data
MARCH 3, 2023
Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9
O'Reilly on Data
OCTOBER 19, 2021
If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Foundational Infrastructure Layers.
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