AWS Big Data

MARCH 20, 2023

Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app. User interactions on Poshmark web and mobile applications generate server-side events.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Amazon Redshift is simple to interact with. Deselect Create final snapshot.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 79

Data Warehouse Data Lake OLAP Cost-Benefit 79

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. They ingest data in snapshots from operational systems. What is Presto? It lands as raw data in HDFS.

OLAP 93

OLAP Data Lake Data-driven Snapshot 93