A data lakehouse is a data storage space containing unstructured and structured data. While data warehouses can store structured data and data lakes are designed for unstructured data, the data lakehouse was developed to provide a resource for both types of data. Data lakehouses allow users to combine the structure and features of a data warehouse with the low-cost […]
What Is Data Mesh?
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, […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]
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 […]
Maximize the ROI of Your Enterprise Data Lake
With organizations embracing digitization in a big way, the generation of data has grown manifold. According to IDC, the growth of data will be huge across industries, from 16 zettabytes to 160 zettabytes. The data being talked about is useful for businesses to draw insights, formulate strategies, and understand trends and customer behavior, among others. […]
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 Access Governance Is Key to Going Faster
Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can improve the customer experience, HR can keep employees happy, and so on. But we all know that cyberattacks are on the rise and evolving data privacy legislation has led to the […]
Data Mesh vs. Data Lake: Which Is Better for Your Business?
In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data Management platforms, tools, and associated technologies are increasingly getting a global focus. Two Data Management technologies have created controversies and have become the topic of hot debates: the data lake and […]
How to Leverage Machine Learning to Identify Data Errors in a Data Lake
A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable […]