Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]
4 Common Data Integration Challenges
The ability to integrate data successfully into a single platform can be a challenge. Well-integrated data makes it easy for the appropriate staff to access and work with it. Poorly integrated data creates problems. Data integration can be described as the process of collecting data from a variety of sources and transforming it into a format compatible […]
The Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad decisions, harming business performance. The sources of poor data quality may seem like a small issue, but it can easily become magnified as repeat errors and different types of errors […]
Data Lakehouses: The Future Of Data Migration
It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes. Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]
Key Components of a Successful Data Strategy
A successful data strategy generally requires the use of certain key components. Most businesses have invested in some form of Data Management, but all too often different sections of a business aren’t terribly well coordinated. A data strategy can be described as a dynamic process used to support the collection of data, its organization and […]
How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data
Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. In this article, we will discuss how a modern […]
The Hype Around Semantic Layers: How Important Are Standards?
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 […]
How Pre-Built Connectors Can Save You Time in Data Integration
The hallmark of man’s invention, the wheel completely changed our lives. From a simple cart to electric vehicles – all can be attributed to the invention of the wheel. What does it have to do with data integration? Nothing really, but it’s a good analogy to see how things have evolved in the realm of […]
Data Preparation and Raw Data in Machine Learning: Why They Matter
In our current digital age, data is being produced at an unprecedented rate. With the increasing reliance on technology in our personal and professional lives, the volume of data generated daily is expected to grow. This rapid increase in data has created a need for ways to make sense of it all. Machine learning is […]
The Importance of Managing Your Metadata
Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes. One of the chief obstacles in this continual […]