AWS Big Data

NOVEMBER 9, 2023

It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. It’s raw, unprocessed data straight from the source.

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers. Key considerations Gameskraft embraces a modern data architecture, with the data lake residing in Amazon S3.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. This data is then used by various applications for streaming analytics, business intelligence, and reporting.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. It takes a lot of grunt work, but with that work done, one can do amazing things.”

Analytics 93

Analytics Data Lake Metadata Cost-Benefit 93

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3). This is the Data Mart stage.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52