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Analytics

Solution Architect: Become the Ultimate Problem Solver

There's an old XKCD cartoon that describes a conversation between a manager and a software developer. This kind of conversation happens all the time. Business leaders know their strategic goals. IT people know what the tech can do. But aligning goals with technology is an ongoing challenge.This is where solution architects come in. They act as a bridge between the business and technical side, and they figure out how to get things done.

Cloudera Operational Database Infrastructure Planning Considerations

In this blog post, let us take a look at how you can plan your infrastructure planning that you may have to do when deploying an operational database cluster on a CDP Private Cloud Base deployment. Note that you may have to do some planning assumptions when designing your initial infrastructure, and it must be flexible enough to scale up or down based on your future needs.

Beware of Creating a New Legacy of Artificial Intelligence Silos

Although the issue of silos in IT and data management are well known, companies appear to be falling back into this trap by not distributing their artificial intelligence (AI) and machine learning (ML) capabilities across their business. New research from Qlik and IDC revealed that just 20 percent of businesses widely distribute these capabilities across the organization.

Beware of Creating a New Legacy of Artificial Intelligence Silos

Although the issue of silos in IT and data management are well known, companies appear to be falling back into this trap by not distributing their artificial intelligence (AI) and machine learning (ML) capabilities across their business. New research from Qlik and IDC revealed that just 20 percent of businesses widely distribute these capabilities across the organization.

The Modern Data Eco System - How teams collaborate to unleash their data

With data becoming the main asset of a business, one of the biggest challenges is how to successfully leverage data to gain a business advantage. In the modern Data Eco System people with different skills set need to collaborate and work together to achieve their data objectives. How does a modern analytics team with data scientists, business analysts and data engineers work together? How are technologies such as Machine Learning, Big data and Cloud come together in a productive way.