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2022 Data Delivery and Consumption Patterns Survey: Highlights and Key Findings

As big data continues to grow exponentially, enterprises are discovering that legacy data environments (e.g. data warehouse or data mart) were never designed to efficiently process and extract insights from the vast volumes of data they generate today. In turn, enterprises are shifting investments away from legacy data environments and searching for future-proof alternatives (e.g., data lakes, data lakehouse, data fabric, or data mesh) to support data-driven, new-generation initiatives.

Inside the "Supercloud" - What it is, How to Use One, and Building Architecture for the Future

As public cloud and multi-cloud adoption skyrockets, many organizations are looking to implement compatible services. These services increase the utility of cloud infrastructure by tapping into the underlying building blocks (otherwise known as primitives) of the cloud. That’s where the idea of a “supercloud” comes into play.

Leadership Tips: Guiding Focused & Engaged Data Teams

How do you cultivate a focused team, motivated to build something that people will derive value from? A data leader is able to gauge team engagement, knows how to evaluate tech, and recognizes the influence of consumer analytics on innovation. Recently on Data Legends, we spoke with Raheem Daya, Sr.

Optimize Your AWS Data Lake with Data Enrichment and Smart Pipelines

As an engaged member of the AWS community, we’re always on the lookout for new technologies and software tools that can help our customers succeed in their AWS data lake initiatives. During the most recent AWS Re:Invent conference in Las Vegas, we had the opportunity to engage directly with AWS partners, customers, and other technology companies operating in the AWS ecosystem.

Leadership Tips: Keeping Data Teams Focused & Engaged | Data Legends Podcast

How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data

Audit Logging for Micro-Integrator

When you are running a micro-integrator on a microservices environment, administrators who have admin access to the micro-integrator are able to change its configurations via admin services API. When someone needs to debug the system and find out which person did what change, then the micro-integrator needs to keep a log of activities performed on the micro-integrator. Audit logs are simply a set of logs that let you find what are the changes performed on the micro-integrator instance. Audit logs feature support from the APIM 4.1.0 onward.

Differentiate or Drown: Managing Modern-Day Data

What are the top three mega-trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub-disciplines of observability, and real-time machine learning. During our conversation with Kevin Petrie, Vice President of Research at Eckerson Group, we’ll tackle: Ready to learn more about managing the modern-day mountains of data at our fingertips? Let’s dive in.

Data Legends Podcast: Differentiate or Drown: Managing Modern-Day Data

What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice President of Research at Eckerson Group. Hear the Answers to these Questions: Why a cloud data platform is a common destination with many routes? Which tools to standardize the different classes of observability? How the interrelationship between model observability and ML works?