In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. However, the advent of agile data warehouse architecture has truly transformed how enterprises build their data architecture and enable business intelligence. In essence, agile […]
Moving to Distributed Systems Can Ease the Path to Cloud Infrastructure
Companies plan to increase their spending on cloud infrastructure but may be slowing down on taking a “cloud-first” approach. These are two of the conclusions outlined in the Enterprise Strategy Group’s (ESG) “2022 Technology Spending Intentions Report.” According to ESG’s report, the number of companies that said moving applications and infrastructure to the public cloud was […]
High-Fidelity, Persistent Data Storage and Replay
In arguably the most iconic scene from Bladerunner, replicant Roy Batty describes his personal memories as “lost in time, like tears in rain.” Until immortality is invented, we’ll have to settle for solving the same problem in data enablement. Actionable data lost to time. How are we still talking about this? With incredible advances in data […]
Data Mesh 101
In today’s complex business environment, data lakes and data warehouses may not be sufficient to meet organizational requirements. From the perspective of agility, both data lakes and data warehouses have limitations when it comes to maintaining and managing various types of data. Enter data mesh. The idea of a data mesh was born when Zhamak Dehghani, the […]
The Future of Enterprise Data Infrastructure − Autonomous Automation
The enterprise storage estate is one of the areas where organizations can easily automate and substantially reduce costs without sacrificing application performance, availability, or cyber resilience. Automation involves the simplification of the data center infrastructure by consolidating the storage environment. However, it’s not enough to only have a solution that automates; it is important to have […]
The Data Engineer’s Roadmap
Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed. But, with such great power comes great responsibility. The journey to becoming a successful data engineer […]
Data Fabric Architecture 101
Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a single Data Management solution to enable businesses to access and connect data across disparate sources and provision a unified, virtual environment for data processing. “The emerging design concept called ‘data fabric’ […]
4 Critical Elements of a Customer-Centric Data Strategy
From the humble data warehouse to the lake and swamp to potentially an ocean of data, take your pick where you want to drown yourself. The reality is the customer doesn’t care about the fancy lake or the Kafka pipelines; they care about the service they are receiving from you. Due to poor communication and misalignment […]
Data Mesh or Data Mess?
The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” More recently, as the role of data evolves and changes, so too does where that data […]
Doing Cloud Migration Right
More than 15 years ago, Amazon launched Amazon Web Services. Just two years later, more than 100 applications had been built on top of the platform. Fast-forward to today, and you know where this story winds up – nearly every enterprise company in the world deploys applications in the cloud in some form or fashion. […]