Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about data mesh. Data mesh represents a federated model of running your data program. While the term is largely […]
2024 Data Trends: From Collaborative Data Sharing to AI-Driven Operations
In the fast-evolving data landscape, understanding emerging trends and embracing technological advancements are key to staying ahead. As we approach 2024, this article explores the data trends that will define the strategic landscape for the coming year. Trend: A Focus on Data Sharing and Data Collaboration Improving data sharing and secure data collaboration between parties is becoming a key area. Companies like Snowflake […]
Managing Data as a Product: What, Why, How
The concept of managing “data as a product” involves a paradigm shift. By treating data as a product designed for consumer use, rather than a pool of semi-chaotic information, businesses can increase their profits. Many businesses have set up customized data pipelines – or other extreme and expensive steps – in unsuccessful efforts to maximize the […]
Distributed Data Architecture Patterns Explained
Distributed data architecture, models using multiple platforms, and processes for data-driven goals continue to generate increased interest. As William McKnight, president of McKnight Consulting Group (MCG) and well-known data architecture advisor, says, “Seldom a database vendor does not interact with concepts around distributed data architectures: the data lakehouse, data mesh, data fabric, and data cloud, and I am […]
Data Mesh: A Pit Stop on the Road to a Data-Centric Culture
The noble effort to build a “data-centric” culture is really a journey, not a destination. With that perspective, we can understand that no matter how good a given environment seems to be –especially compared to whatever existed before – there’s always room for enhancement. As more technologies, strategies, and disciplines emerge, the ongoing evolution ensures constant improvement. […]
Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters
Gone are the days when customers would place an order and patiently wait for hours or even days for goods to be delivered, or when letters would travel through snail mail to reach their recipients. Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […]
Understanding Data Mesh Principles
ThoughtWorks consultant Zhamak Dehghani defines data mesh as a “decentralized sociotechnical approach to sharing, accessing, and managing analytical data in complex and large-scale environments – within or across organizations.” This type of Data Architecture continues to generate interest among corporations, and data professionals will need to become familiar with data mesh architectures, such as those with data lakes or warehouses. […]
Data Intelligence Predictions: How to Be Data-Driven in 2023
It’s a new year, but we’re still facing many of the same challenges as in 2022. Businesses are preparing for greater economic uncertainty, often looking for creative ways to keep costs low while still meeting goals for the year. By becoming data-driven and using data intelligence to fuel business decisions, leaders can confidently make key […]
Data Architecture Trends in 2023
With the onset of the pandemic, global businesses began to realize the power of operational efficiency, scalability, and growth. With this realization came the crucial need to shift their data centers to managed service ecosystems – cloud platforms in all their variations. However, locating a suitable data center partner on the cloud has not been an […]
Without Trusted Core Data, Data Mesh Is Data Meh
Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently. Data mesh and other virtual data approaches connect, unify information, and make it available across numerous data silos and warehouses to get it efficiently into the hands of analysts and other […]