Netflix Tech

MARCH 25, 2019

Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. Our data ingestion approach, in a nutshell, is classified broadly into two buckets?—?push We leverage Metacat data, our internal metadata store and service, to enrich lineage data with additional table metadata.

Building 87

Building Metadata Transportation Data Ingestion 87

Rockset

SEPTEMBER 6, 2019

This raw data from the devices needs to be enriched with content metadata and geolocation information before it can be processed and analyzed. For the data analysis part, things are quite different. Most analytics engines require the data to be formatted and structured in a specific schema.

Metadata 40

Metadata Kafka Data Cleanse SQL 40

phData: Data Engineering

JULY 18, 2023

Enterprises can effortlessly prepare data and construct ML models without the burden of complex integrations while maintaining the highest level of security. Generally, organizations need to integrate a wide variety of source systems when building their analytics platform, each with its own specific data extraction requirements.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

OCTOBER 20, 2021

It has automated components of the traditional ML Flow from data acquisition, experimentation and even logging—definitely, a must-try within the Azure ecosystem. Data Volumes and Veracity Data volume and quality decide how fast the AI System is ready to scale. Data: Data Engineering Pipelines Data is everything.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52