article thumbnail

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

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?

article thumbnail

Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

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, (..)

article thumbnail

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

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?