Data mesh is a type of organization and architectural paradigm, or – in simpler words – a distributed architecture for Data Management. The goal is to provide accessibility by distributing the data in the way that the end user needs it. It allows teams to embrace a self-serve data architecture design where they can look at data as […]
What Is a Data Lake?
A data lake is an environment where a vast amount of data, of various types and structures, can be ingested, stored, assessed, and analyzed. Data lake technologies can scale to massive volumes of data, and combining datasets is easy with data stored in a relatively raw form. A data lake architecture can centralize data over distributed storage, providing a scalable, […]
Is Your Database Built for Streaming Data?
When it comes to data sources, analytic apps developers are facing new and increasingly complex challenges, such as having to deal with higher demand from event data and streaming sources. Here in the early stages of this “stream revolution,” developers are building modern analytics applications that use continuously delivered real-time data. Yet while streams are clearly the […]
Developing Agile Data Warehouse Architecture Using Automation
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 […]
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 […]
Using Data Analytics to Understand Gross Margin Attribution
Companies across sectors and of all sizes face a common problem: understanding their profit margins and identifying the levers that are attributing to those margins. It’s as fundamental to business operations as you can get – if the margin isn’t there, you’re not going to have a viable business, and in an increasingly data-driven world, businesses that […]
The Machine Economy Is Here – The Digital Transformation Era Is Over
The age of digital transformation is over. It’s too late to be debating whether you should digitally transform your organization. The world has already digitally transformed. Everything is already digital-first, totally connected, in the cloud, and powered by data, everywhere, all the time. Digital-first organizations won. Everyone else missed opportunities to innovate, made costly mistakes, and failed […]
Data Modeling Techniques and Best Practices
Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI. In this blog post, we’ll provide you with an overview of the most popular data modeling techniques and best practices to […]
Advances in Data Warehouses
Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety of applications and databases. It acts as a single repository, which an organization can access with BI (business intelligence) and analytics tools, before making decisions. A data warehouse provides faster processing […]
Databases vs. Hadoop vs. Cloud Storage
How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by bandaging and using the same old Data Architecture ends up pushing data uphill, making it harder to use. Rethinking data usage, storage, and computation is […]