Remove 2012 Remove Interactive Remove Metadata
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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

VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. The Amazon provider is used to interact with AWS services like Amazon S3, Amazon Redshift Serverless, AWS Glue, and more. Secrets like user name, password, DB port, and AWS Region for Redshift Serverless are stored in Secrets Manager.

Metadata 107
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Real-Real-World Programming with ChatGPT

O'Reilly on Data

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

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How Volkswagen streamlined access to data across multiple data lakes using Amazon DataZone – Part 1

AWS Big Data

This populates the technical metadata in the business data catalog for each data asset. The business metadata, can be added by business users to provide business context, tags, and data classification for the datasets. Producers control what to share, for how long, and how consumers interact with it.

Data Lake 114
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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

or higher Appropriate AWS credentials for interacting with resources in your AWS account. The following software installed on your development machine, or use an AWS Cloud9 environment, which comes with all requirements preinstalled: Java Development Kit 17 or higher (for example, Amazon Corretto 17 , OpenJDK 17 ) Python version 3.11

Testing 103
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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. X Python 3.8 Amazon EMR 6.1

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. The crawlers will automatically classify the data into JSON format, group the records into tables and partitions, and commit associated metadata to the AWS Glue Data Catalog. Choose Run.

Analytics 100
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Federate Amazon QuickSight access with open-source identity provider Keycloak

AWS Big Data

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Choose Browse.