Netflix Tech

DECEMBER 14, 2018

A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 97

Media Database Metadata Data Schemas 97

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98

AWS Metadata Scala Data Lake 98

Netflix Tech

OCTOBER 31, 2018

The Media Document Model The Media Document model is intended to be a flexible framework that can be used to represent static as well as dynamic (varying with time and space) metadata for various media modalities. Timing Model We use the Media Document model to represent timed metadata for our media assets.

Media 54

Media Metadata Data MongoDB 54

Cloudera

FEBRUARY 9, 2021

Ingesting into cloud storage directly is independent of any data warehouse compute services, which resolves a common issue in the traditional data warehouse that ETL jobs and analysis queries very often compete against each other for resources. The history data is always required for certain industry regulatory compliance.

Data Warehouse 73

Data Warehouse Cloud Kafka Cloud Storage 73

dbt Developer Hub

NOVEMBER 28, 2021

This could just as easily have been Snowflake or Redshift, but I chose BigQuery because one of my data sources is already there as a public dataset. dbt seeds data from offline sources and performs necessary transformations on data after it's been loaded into BigQuery. I spun up an instance using its docker/up.sh

Raw Data 52

Raw Data Metadata Database Datasets 52

AltexSoft

OCTOBER 3, 2022

A knowledge graph is a way to integrate data coming from a variety of disjointed sources in the network that connects different data entities — objects, people, events, situations, or abstract concepts — and depicts their semantic relationships. What is a knowledge graph? General scenarios of using knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 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. Tools like dbt have also debuted semantic layer features to much fanfare.

Food 52

Food Data SQL Data Pipeline 52