Unlocking the Potential of Cloud Architecture for Big Data Analytics

At the prestigious 2017 ITWeb Cloud Summit, I had the privilege of discussing the transformative realm of Cloud Architecture for Big Data Analytics. Despite being allocated the final time slot of the day from 17:00 to 17:35, our presentation garnered a substantial and engaged audience. I trust it was an enlightening and valuable session for all in attendance.

Cs2017 gary allemann presentation from Gary Allemann

Embracing Big Data with Cloud Agility

• Defining big data as the key to “rapid time to insight.”
• Cloud’s immense potential, including business agility, allows for the integration of big data programs even before IT fully embraces new technologies.
• The tangible benefits of deploying big data in the Cloud are undeniable, but they require a thoughtful architectural approach to address privacy, bandwidth, and cost concerns.

Elevating Architecture for Comprehensive Data Management

• Expanding our architectural scope to encompass vital data management facets such as data governance, security, and lineage.
• Overcoming the temptation to merely plug analytics into the architecture and hoping for success.
• Acknowledging the imperative of addressing broader data management capabilities to fully harness big data’s potential.

Balancing Usability and Governance in Big Data Solutions

• While usability remains a central consideration, a holistic solution must seamlessly integrate governance and administrative capabilities.
• Managing the complexities of distributed analytics datasets, spanning internal and external domains.

Dive Deeper: Video Presentation and Your Feedback

For those seeking a deeper dive into the subject, I’ve created a 26-minute video presentation capturing the essence of the talk. I invite you to watch and provide your valuable feedback, which is instrumental in shaping our collective understanding.