DataKitchen

JUNE 19, 2023

.” – Take A Bow, Rihanna (I may have heard it wrong) Validating data quality at rest is critica l to the overall success of any Data Journey. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand.

Data 52

Data Data Validation Utilities High Quality Data 52

Monte Carlo

JANUARY 25, 2023

In those cases, we try to test on a blank or sample of data. Schema compatibility We use the Confluent (Kafka) Schema Registry to store contracts for the data warehouse. This is very similar to the process for entities and events covered in a previous article. Image courtesy of Chad Sanderson.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40