The following pages and posts are tagged with
| Page Title | Page Type | Excerpt | URL |
|---|---|---|---|
| DataWave Data Model | Docs | DataWave utilizes the Accumulo table schemas described below as the basis for its ingest and query components | /docs/6.x/getting-started/data-model |
| DataWave Ingest Configuration | Docs | Data Type Configuration Here, Data Type denotes a distinct flow of data into the system in which all the raw input arrives in the same binary format and conforms to some well-defined information schema (e.g., an XML dataset where all the input files conform to the same XSD) <h3... | /docs/6.x/ingest/configuration |
| Ingest Data Flow | Docs | Data Flow Overview Flag Maker A given Flag Maker process will be configured and deployed to manage a single data flow within the system. There can be any number of Flag Maker processes, each driving M/R processing for... | /docs/6.x/ingest/data-flow |
| DataWave Ingest API | Docs | This page describes the primary components of DataWave Ingest API | /docs/6.x/ingest/development |
| DataWave Ingest Overview | Docs | MapReduce API To load data into its Accumulo tables, DataWave provides an API that utilizes MapReduce as its basis. This framework is highly scalable and is designed to support extensive customization through configuration alone. For example, DataWave can be configured to ingest arbitrarily-defined data schemas with no... | /docs/6.x/ingest/overview |
| DataWave Tour: Ingest Basics | Docs | The examples below will demonstrate DataWave Ingest usage. In order to follow along in your own DataWaveenvironment, you should first complete the Quickstart... | /docs/6.x/tour/ingest-basics |