Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

Data 94

Data Data Engineering Artificial Inteligence Machine Learning 94

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

FEBRUARY 17, 2021

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub.

Part-Time VPE 61

Part-Time VPE Analytics Leadership eBook 61

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 105

Data Engineering Engineering Data Tools 105

O'Reilly Media - Ideas

MARCH 1, 2023

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. That’s a surprise, particularly since the operations world is still coming to terms with cloud computing. What does that mean?

Trends 138

Trends Technical Review Technology Software Review 138

DataRobot

FEBRUARY 9, 2022

This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Thus, you can modify a model when needed without changing the pipeline that feeds into it — providing a data science improvement without any investment in data engineering. .

Artificial Inteligence 52

Artificial Inteligence Machine Learning eBook Guidelines 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Data virtualization presents a compelling financial case.

Virtualization 69

Virtualization Data How To Data Engineering 69