Accelerate Your Path to a Modern Analytics Architecture
Teradata
SEPTEMBER 23, 2020
A modern analytics architecture means something different to everyone. What does it mean for your organization? Find out more.
Teradata
SEPTEMBER 23, 2020
A modern analytics architecture means something different to everyone. What does it mean for your organization? Find out more.
Teradata
JUNE 30, 2022
How do you accelerate disease prevention and response? Teradata provides a response to help accelerate public health infrastructure modernization.
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Teradata
MARCH 11, 2021
Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.
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. 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.
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Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture.
ThoughtSpot
APRIL 22, 2025
While foundational models like GPT are trained for natural language, they cant accommodate every complexity of real-world data on their ownthink: business context, analytics expressibility, massive and messy datasets. Thats where ThoughtSpots architecture comes in.
Data Engineering Weekly
FEBRUARY 18, 2025
Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. The fourth difference is the Lakehouse Architecture. Fluss embraces the Lakehouse Architecture. It excels in event-driven architectures and data pipelines.
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