Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving. Choose ETL Jobs.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

FEBRUARY 20, 2020

But it is the contextual usage information of data that is critical to answer data consumers’ and stewards’ questions. Cataloging both data and queries provides insight into. How recently the data was used. How recently the data was updated. What the mapping is of technical metadata to business descriptions.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Metrics Optimization 69

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85