Data Engineering Podcast

AUGUST 21, 2022

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. Can you describe what is driving the adoption of real-time analytics? Can you describe what is driving the adoption of real-time analytics?

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Podcast

MAY 29, 2022

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. What are some of the capabilities that it offers to reduce the need to incorporate multiple data stores for application and analytical architectures?

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Monte Carlo

JULY 25, 2022

But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. The Snowflake elastic performance engine allows teams to work in their language of choice (SQL, Java, Python, or a mix) as they power pipelines, reporting, applications, or exploration.

Government 52

Government Data Architecture Insurance 52

Knowledge Hut

FEBRUARY 27, 2023

Some of the most common responsibilities of data engineers include Data collection Matching the architecture to the business his needs Discovering tasks that can be automated using data Using advanced analytics programs, machine learning, and statistical techniques Updating stakeholders based on analytics Architecture development, building, testing, (..)

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52