Experimentation, OLAP and Snapshot

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

SEPTEMBER 25, 2023

They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber.

OLAP

OLAP Data Lake Data-driven Online Analytical Processing

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

AWS Big Data

MARCH 20, 2023

Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. Spark Structured Streaming continuous processing is an experimental feature and provides at-least once guarantees.

Analytics

Analytics Data Processing Slice and Dice Data Lake

Data Leaders Brief

Unleashing the power of Presto: The Uber case study

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

Webinars

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