There are several reasons why the notion of semantic layers has reached the forefront of today’s data management conversations. The analyst community is championing the data fabric tenet. The data mesh and data lake house architectures are gaining traction. Data lakes are widely deployed. Even architectural-agnostic business intelligence tooling seeks to harmonize data across sources. Each […]
Scaling Data Access Governance
The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. However, this ability comes with potential consequences. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […]
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 […]
Boost Business Value with a Well-Defined Enterprise Analytics Strategy
As digital technologies spread their roots in the business world, organizations have access to more data than ever. This data becomes an essential organizational asset when utilized for enriching business strategies. But the process of turning data into insights is as important as the data itself. Hence, more and more organizations across sectors are deploying advanced analytics to grow […]
Data Lakes Are Dead: Evolving Your Company’s Data Architecture
You know you’re not getting the most out of your data. How can your company redesign its data architecture without making the same mistakes all over again? The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […]
Data Trustability: The Bridge Between Data Quality and Data Observability
If data is the new oil, then high-quality data is the new black gold. Just like with oil, if you don’t have good data quality, you will not get very far. You might not even make it out of the starting gate. So, what can you do to ensure your data is up to par and […]
Establishing Connections and Putting an End to Data Silos
The global pandemic and the move to remote and hybrid workplaces have highlighted the importance of connections in an increasingly disconnected world. While the traditional office setting has become dispersed, business leaders must still connect everyone and everything within their organization. They must connect not only systems, data, and applications to each other, but also to their […]
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 […]
The Evolution of Data Virtualization: From Data Integration to Data Management
Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]
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 […]