The hybrid cloud data platform (HCDP) optimizes both business intelligence (BI) and data science workloads with capabilities such as integrated analytics, columnar and parallel processing, data compression, and workload isolation. Vendors selling HCDPs have decades of experience supporting and tuning analytics workloads on structured and semi-structured data. An effective HCDP is unified, analytical, automated, fast, efficient, governed, and open. 

 Software companies represent an ideal case study. They use the HCDP to support two primary categories of modern analytics use cases. First, they analyze the product experience to improve what customers buy. Second, they deliver analytics as a product, meaning that analytics is what customers buy.

Key Takeaways:

• The hybrid cloud data platform (HCDP) optimizes both business intelligence (BI) and data science workloads with capabilities such as integrated analytics, columnar and parallel processing, data compression, and workload isolation. An effective HCDP is unified, analytical, automated, fast, efficient, governed, and open.
• Software companies use the HCDP to support two modern categories of analytics use cases. First, they analyze the product experience to improve what customers buy. Second, they deliver analytics as a product, meaning that analytics is what customers buy.
• Because some data will persist on premises, enterprises must design HCDP architectures that make the best of the cloud—such as optimized processing, open data formats, and data science tools—available anywhere in their hybrid environment.
• Rather than going big to start, consider adopting the HCDP for one or two short-term projects with measurable outcomes. If those projects deliver results, you can win executive support to tackle more ambitious projects.
•  Implement a data architecture that enables your data teams to deliver the right insights to product managers so they can both analyze their products and build analytics into their products.

Register for Free Premium Content

If you are a human, ignore this field

Which best describes your role?

Choose an option Executive: CDO, CAO, CIO or equivalent VP/Director: BI, Analytics, AI/ML, Data Management or equivalent Manager: BI, Analytics, AI/ML, Data Management or equivalent Architect: Data, Analytics, AI/ML, or equivalent Engineer: Data, Analytics, AI/ML, or equivalent Analyst: Data, Analytics, AI/ML, or equivalent Vendor Academic Other

Which best describes the state of data & analytics at your organization?

Choose an option Excellent - We're running on all cylinders! Good - We're showing good results. Ok - We could do better Fair - We can't get out of our own way Novice - We're just getting started Doesn't apply

Why are you interested in this topic?

Choose an option Understand - I'm educating myself and/or my team Plan - I'm proposing or planning a project for my company Implement - I'm implementing a project at my company

I would like to receive data & analytics insights, updates, and offers from Datalere.

The email you entered is not a valid email. Please enter a valid email to continue.

We are sorry but something went wrong. We have been notified about this error. Please retry or contact us at [email protected]

Please, make sure to check recaptcha before submitting the form

Thank you for contacting Datalere. A representative will be in contact with you soon regarding your question or request.

Submit