AWS ETL Tools: Navigating the Modern Cloud Data Stack

In the last decade, AWS has redefined how businesses build data pipelines. Its ETL toolset isn’t just about moving datasets, it’s about orchestrating security, compliance, scale, and efficiency. Whether you're migrating legacy data systems or building modern ELT workflows, AWS offers a robust, versatile stack of services to meet virtually any requirement.

Why Your Data Strategy Needs to Be Open, Now More Than Ever

I’ve been on both sides of the table, as a CIO shaping enterprise strategy and now as a CEO delivering outcomes for thousands of customers. And one belief has never changed: your data should serve your business, not someone else’s agenda. That belief matters now more than ever. Salesforce’s intent to acquire Informatica is the latest signal of a growing trend: consolidation over choice.

How Guarantees and SLAs Take the Risk Out of Enterprise IT Infrastructure

For many IT leaders, the shift from self-run on-premises infrastructure to consumption-based infrastructure as a service (IaaS) represents a strategic opportunity. The promise of scalability, cost-efficiency and agility while maintaining greater control and security is undeniable. But so are concerns about reliability, control and governance. That’s where guarantees and service level agreements (SLAs) come in.

Streaming Data at Scale with Strategic Cloud Partners | Life Is But A Stream Podcast

Strategic partnerships don’t work without trust. And in the data streaming world, trust begins with transparency. In this episode, Elena Cuevas, Sr. Manager of Cloud Partner Solutions Engineering at Confluent, joins Joseph Morais to unpack what it takes to collaborate with hyperscalers like AWS, Google Cloud, and Microsoft Azure. From managing competitive overlaps to future-proofing enterprise data architectures, Elena shares her battle-tested strategies for driving alignment across complex stakeholder ecosystems.

What is Augmented Analytics? - Definition & Top Benefits in 2025

Today, identifying, managing and understanding data is made faster and easier through the use of automation, algorithms and natural language capabilities that enhance – not replace – the key steps along the analytics life cycle. Most importantly, it isn’t as inaccessible as you may think.