Remove Data Lake Remove Data Processing Remove OLAP
article thumbnail

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

The data warehouse is highly business critical with minimal allowable downtime. We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. Vijay Bagur is a Sr. Technical Account Manager.

article thumbnail

Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same. The primary differentiator is the data workload they serve. with a cloud data warehouse is simple.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

article thumbnail

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

AWS Big Data

Flexible deployment options for StarTree Cloud StarTree offers multiple deployment options, including a StarTree hosted software as a service (SaaS) or customer hosted SaaS. StarTrees customer hosted SaaS provides flexibility for customers interested in deploying the solution within their AWS environment or other platform of choice.