AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. This allows the model to adapt to the latest changes in price and availability. versions).

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

Cloudera

NOVEMBER 15, 2024

However, there is a fundamental challenge standing in the way of being successful: data. Using Cloudera Data Flow and Cloudera Stream Processing, teams can filter, parse, normalize, and enrich log data in real time, ensuring that defenders are always working with clean, structured data that’s ready for advanced analytics.

Analytics 59

Analytics Metadata Snapshot Data-driven 59

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. Over the years, he has helped multiple customers on data platform transformations across industry verticals. His core area of expertise include Technology Strategy, Data Analytics, and Data Science.

Data Lake 101

Data Lake Testing Snapshot Sales 101

AWS Big Data

AUGUST 16, 2023

Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time. Version travel queries in Athena query Amazon S3 for historical data as of a specified snapshot ID. Iceberg tables provide the capability of time travel.

Data Lake 96

Data Lake Metadata Testing Snapshot 96

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Data-driven 150

Cloudera

NOVEMBER 15, 2024

However, there is a fundamental challenge standing in the way of being successful: data. Using Cloudera Data Flow and Cloudera Stream Processing, teams can filter, parse, normalize, and enrich log data in real time, ensuring that defenders are always working with clean, structured data that’s ready for advanced analytics.

Analytics 84

Analytics Metadata Snapshot Data-driven 84

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Announced during AWS re:Invent 2023, this feature focuses on optimizing data storage for Iceberg tables using the CoW mechanism.

Data Lake 98

Data Lake IoT Metadata Testing 98