Monte Carlo

JANUARY 25, 2023

In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

ProjectPro

FEBRUARY 8, 2023

It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses, etc., Glue uses ETL jobs for extracting data from various AWS cloud services and integrating it into data warehouses and lakes.

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. The data became useless. Legend says, that this didn’t go well.

Data Lake 77

Data Lake Data Warehouse Hadoop Data Architecture 77

Monte Carlo

FEBRUARY 26, 2024

It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. As data structure changes in connected systems, the changes are automatically captured and imported to the data catalog.

Metadata 52

Metadata Government Data Data Governance 52

Monte Carlo

MARCH 2, 2023

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. If you are conducting a post mortem, by definition the data anomaly has already occurred.

Food 52

Food Data SQL Data Pipeline 52

dbt Developer Hub

FEBRUARY 7, 2022

This aggregation process requires an analytics warehouse, as all of these things need to be synced together outside of the application database itself to incorporate other data sources (billing / events information, past touchpoints in the CRM, etc).

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. The first module retrieves key-value data from the storage system.

Lambda Architecture 66

Lambda Architecture Datasets Software Engineer Software Engineering 66