Remove 2012 Remove Metadata Remove Optimization Remove Visualization
article thumbnail

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

AWS Big Data

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. This approach provides a robust mechanism to mitigate the potential impact of disruptions or failures, making sure that critical workloads remain operational.

Metadata 109
article thumbnail

Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data. Organizations often need to manage a high volume of data that is growing at an extraordinary rate.

Data Lake 118
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

AWS Big Data

This method uses GZIP compression to optimize storage consumption and query performance. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 100
article thumbnail

Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

XML files are well-suited for applications, but they may not be optimal for analytics engines. Technique 1: Use an AWS Glue crawler and the visual editor The following diagram illustrates the simple architecture that you can use to implement the solution. We use the AWS Glue crawler to extract XML file metadata.

article thumbnail

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. ORDERTOPIC" WHERE CAN_JSON_PARSE(kafka_value); The metadata column kafka_value that arrives from Amazon MSK is stored in VARBYTE format in Amazon Redshift.

article thumbnail

Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

By converting logs and events using Open Cybersecurity Schema Framework , an open standard for storing security events in a common and shareable format, Security Lake optimizes and normalizes your security data for analysis using your preferred analytics tool. Choose Component templates to verify the OCSF component templates.

article thumbnail

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.