Data Analytics, Data Lake, OLAP and Snapshot

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

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics

Analytics Slice and Dice Data Processing Data Lake

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. 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.

OLAP

OLAP Data Lake Data-driven Snapshot

Data Leaders Brief

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

Unleashing the power of Presto: The Uber case study

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