AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. This allows the model to adapt to the latest changes in price and availability. versions).

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. Redshift resources, such as namespaces, workgroups, snapshots, and clusters can be tagged.

Snapshot 83

Snapshot Metadata Measurement Data Warehouse 83

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. Vijay Velpula is a Data Architect with AWS Professional Services. He helps customers implement Big Data and Analytics Solutions. Delete the stack from the AWS CloudFormation console.

Data Lake 71

Data Lake Testing Snapshot Sales 71

AWS Big Data

AUGUST 16, 2023

Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time. Version travel queries in Athena query Amazon S3 for historical data as of a specified snapshot ID. Iceberg tables provide the capability of time travel.

Data Lake 72

Data Lake Metadata Testing Snapshot 72

AWS Big Data

JUNE 21, 2023

The challenge comes when we need to ask more complex questions of our data, for example, what was the year-on-year quarterly sales growth by product broken down by country? The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. To house our data, we need to define a data model.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80