Architecture Data Engineering Demo Machine Learning 
Confluent
FEBRUARY 6, 2019
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.
Cloudera
MARCH 17, 2023
As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.
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Apiumhub
JUNE 22, 2021
Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.
Cloudera
DECEMBER 21, 2020
In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.
Cloudera
AUGUST 31, 2021
It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Demo Video. Solution brief. Contributors: .
Apiumhub
AUGUST 12, 2021
Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. Twitter: ??
Cloudera
DECEMBER 10, 2020
CDW is built on top of CDP and has many cutting edge features to provide an excellent data warehousing user experience. For an overview of CDW’s architecture, see DW Built for the cloud. CDW architecture is elastic and simplifies capacity planning. Which technical capabilities make CDW cost-efficient?
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