Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Audit Run various quality checks on the staged data.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Data Engineering Podcast

AUGUST 28, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. In real-time data streaming and event-driven architectures, CDC captures data changes to trigger actions or workflows.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Cloudera

AUGUST 21, 2020

For example, if a credit card was used in the United States and shortly afterward the same card was used in Spain to withdraw the same amount, these two events in isolation could appear legitimate. However, in the context of time and geography, these two events point to a pattern of fraud.

Banking 60

Banking Kafka Cloud Storage Government 60

Ascend.io

DECEMBER 11, 2023

Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. This contrasts with data pipeline orchestration , which adopts a narrower focus, centering on the construction, operation, and management of data pipelines.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

AltexSoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. Metadata database.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Netflix Tech

NOVEMBER 20, 2023

IPS provides the incremental processing support with data accuracy, data freshness, and backfill for users and addresses many of the challenges in workflows. IPS enables users to continue to use the data processing patterns with minimal changes. A snapshot can contain data files from different partitions.

Process 84

Process Data Pipeline Datasets SQL 84