AWS Big Data

APRIL 25, 2024

VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. Usually, data engineers create an Airflow Directed Acyclic Graph (DAG) and commit their changes to GitHub. The Amazon provider is used to interact with AWS services like Amazon S3, Amazon Redshift Serverless, AWS Glue, and more.

Metadata 100

Metadata Data Processing Management Testing 100

AWS Big Data

APRIL 19, 2023

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

Metadata 76

Metadata Testing Data Lake Consulting 76

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. The ingestion approach is not in scope of this post. Choose Run.

Analytics 90

Analytics IoT Metadata Internet of Things 90

AWS Big Data

APRIL 3, 2024

If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

AWS Big Data

SEPTEMBER 29, 2023

To analyze XML files stored in Amazon S3 using AWS Glue and Athena, we complete the following high-level steps: Create an AWS Glue crawler to extract XML metadata and create a table in the AWS Glue Data Catalog. We use the AWS Glue crawler to extract XML file metadata. We also use a custom XML classifier in this solution.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector. The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., Data governance, for the win! Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71