Big Data Warehouse

Versie 1.0
Creatie datum 02-05-2021

Streaming Access Storage*

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Streaming Access Storage*

Automated Data Replication and Reconstruction

How can large amounts of data be stored in a fault tolerant manner such that the data remains available in the face of hardware failures?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Automated Data Replication and Reconstruction

Canonical Data Format

How can the same dataset be consumed by disparate client programs?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Canonical Data Format

File-based Sink

How can processed data be ported from a Big Data platform to systems that use proprietary, non-relational storage technologies?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van File-based Sink

Poly Source*

The Poly Source compound pattern represents a part of a Big Data platform capable of ingesting high-volume and high-velocity data from a range of structured, unstructured and semi-structured data sources.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Poly Source*

Data Size Reduction

How can the size of the data be reduced to enable more cost effective storage and increased data movement mobility when faced with very large amounts of data?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Data Size Reduction

Big Data Warehouse*

The Big Data Warehouse represents a solution environment where a Big Data platform is used as a data warehouse capable of storing both structured and unstructured data online.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Big Data Warehouse*

Confidential Data Storage

How can data stored in a Big Data solution environment be kept private so that only the intended client is able to read it?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Confidential Data Storage

Relational Sink

How can large amounts of processed data be ported from a Big Data platform directly to a relational database?

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Relational Sink

Random Access Storage*

The Random Access Storage compound pattern represents a part of a Big Data platform capable storing high-volume and high-variety data and making it available for random access.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Random Access Storage*