article thumbnail

Extend your data mesh with Amazon Athena and federated views

AWS Big Data

This query is fairly complex: it involves multiple joins and requires special knowledge of the correct way to calculate profit metrics that other end-users may not possess. For more information on using views with federated data sources, see Querying federated views. Big Data Architect on Amazon Athena. Pathik Shah is a Sr.

article thumbnail

How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. The team also built a centralized data lake on AWS, Databricks, and Power BI. in 2016, and BD Advanced Bioprocessing in 2018. Catalyzing change.

IT 104
article thumbnail

Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.