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Enabling privacy and choice for customers in data system design

Lacework

When architecting data systems, a key philosophy is keeping customer privacy front and center both in the design choices made and and options presented to the user, while ensuring the ability to meet business needs and service criteria. What is privacy?

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Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships

Infinidat

Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. Many enterprises have an "approved vendor" list that includes vendors they have identified as "preferred" to do business with over time.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data architect’s role is to project infrastructure that data engineers will develop. Data warehouse architecture. Data engineer.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

I’m going to explore four pillars for enabling scalable development that works across the event-driven enterprise. These pillars minimize complexity and provide foundational rules for building systems using composition. Most of them are great for bottom-up metrics or infrastructure metrics. Four pillars of event streaming.

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Grown-Up Lean

LeanEssays

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. At the heart this approach to infrastructure are the core strategies of isolation, redundancy, fault detection, and automation.