AWS Big Data

APRIL 11, 2023

ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second. In the inventory management and forecasting solution, AWS Glue is recommended for data transformation.

Forecasting 98

Forecasting Management IoT Data-driven 98

AWS Big Data

JULY 20, 2023

Specifically, the system uses Amazon SageMaker Processing jobs to process the data stored in the data lake, employing the AWS SDK for Pandas (previously known as AWS Wrangler) for various data transformation operations, including cleaning, normalization, and feature engineering.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

OCTOBER 31, 2023

We also orchestrated the data pipeline using Amazon MWAA, which ran tasks related to data transformation as well as Snowflake queries. We used Secrets Manager to store Snowflake connection information and credentials and Amazon SNS to publish the data output for end consumption. Bosco Albuquerque is a Sr.

Data Processing 110

Data Processing Management Publishing Visualization 110

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 81

Snapshot Optimization Data Lake Metadata 81

AWS Big Data

NOVEMBER 6, 2024

In Transform records , select Turn on data transformation. To learn more about using Amazon Data Firehose with Apache Iceberg, see the Firehose Developer Guide or try the Immersion day workshop. About the authors Diego Garcia Garcia is a Specialist SA Manager for Analytics at AWS. For Version select $LATEST.

Metadata 115

Metadata Data Lake Management Internet of Things 115