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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

In the second account, Amazon MWAA is hosted in one VPC and Redshift Serverless in a different VPC, which are connected through VPC peering. The policies attached to the Amazon MWAA role have full access and must only be used for testing purposes in a secure test environment.

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Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service

AWS Big Data

Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). Provide your host name, Region, snapshot repo name, and S3 bucket. The Boto3 session should use the RegisterSnapshotRepo IAM role.

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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

If you’re testing on a different Amazon MWAA version, update the requirements file accordingly. For testing purposes, you can choose Add permissions and add the managed AmazonS3FullAccess policy to the user instead of providing restricted access. To create the connection string, the Snowflake host and account name is required.

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How Can Smart Data Discovery Tools Generate Business Value?

datapine

Your Chance: Want to test a professional data discovery tool for free? Data discovery is a term used to describe the process for collecting data from various sources by detecting patterns and outliers with the help of guided advanced analytics and visual navigation of data, thus enabling consolidation of all business information.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. Amazon S3 hosts the metadata of all the tables as a.csv file.

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Introduction To The Basic Business Intelligence Concepts

datapine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization. followed by 18 zeros.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Then to perform more complex data analysis such as regression tests and time series forecasting, you can use Apache Spark with Python, which allows you to take advantage of a rich ecosystem of libraries, including data visualization in Matplot, Seaborn, and Plotly.

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