Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Podcast

MAY 29, 2022

By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Data Engineering Weekly

NOVEMBER 13, 2022

With Upsolver SQLake, you build a pipeline for data in motion simply by writing a SQL query defining your transformation. link] Uber: Uber Freight Near-Real-Time Analytics Architecture Uber writes about its Uber Fright architecture highlighting how it archives data freshness, latency, reliability, and accuracy.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.

Data Engineering 93

Data Engineering Data Engineer Engineering Data Science 93