CIO Business Intelligence

DECEMBER 6, 2023

In consequence, there is a direct impact on lower energy costs, a reduction in the carbon footprint, decreased production waste costs, and increased utilization of equipment and workforce through data-driven planning and operations management.”

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

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. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

AWS Big Data

JUNE 20, 2023

Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Mikhail specializes in data analytics services.

Data Lake 74

Data Lake Data Science Recreation/Entertainment Experimentation 74

AWS Big Data

JANUARY 24, 2023

The utility for cloning and experimentation is available in the open-sourced GitHub repository. This solution only replicates metadata in the Data Catalog, not the actual underlying data. This ensures that the data lake will still be functional in another Region if Lake Formation has an availability issue.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 103

Metadata Data Lake Publishing Data Governance 103

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 52

Analytics Slice and Dice Data Processing Data Lake 52

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. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150