Click to learn more about author Kartik Patel. The average business user does not have a full grasp of advanced data discovery or data preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence […]
What Is Data Discovery?
Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
Why Rich Discovery and Analysis Can Make or Break Your Unstructured Data Migration Plan
Click to learn more about author Brian Murphy. Unstructured data is growing faster than ever. In fact, according to prevailing research from most analyst firms, it is growing significantly faster than structured data. According to IDC, 80 percent of worldwide data will be unstructured by 2025. And, at the same time that the sheer volume […]
How to Handle Semi-Structured Data: JSON Functions
Click to learn more about author Eva Murray. The world has seen an explosion in data with an incredible amount of data being produced every single day (2.5 quintillion bytes, an almost incomprehensible number). Much of this data is semi-structured or unstructured data, stemming from the content produced on social media platforms in the form […]
Data Virtualization Use Cases
Data virtualization, in a nutshell, utilizes data integration without replication. In this process, a single “virtual” data layer is created to provide data services to multiple users and applications at the same time. Why Data Virtualization Is a Necessity for Enterprises explains how data virtualization helps tackle data movement challenges by making a virtual dataset […]
How Can My Business Make the Most Out of Analytical Resources and Skills?
Click to learn more about author Kartik Patel. Advanced Analytics is the new frontier of competition and business success. While some businesses have the luxury of employing data scientists and professional analysts to help them sift through and analyze data, others do not have the budget or the structure to support these roles and, even those […]
Data Management vs. Business Intelligence
What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for […]
DataRobot Acquires Paxata to Bolster its End-to-End AI Capabilities
According to a recent press release, “DataRobot, the leader in enterprise AI, today announced that it has entered into a definitive agreement to acquire Paxata, the pioneer of self-service data preparation and leading data fabric provider, to fulfill its mission to build the world’s first automated end-to-end enterprise AI platform. While the massive impact of […]
Challenges of Data Quality in the AI Ecosystem
Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, […]
Smart AI Means Smart Data Prep
Every company wants to put artificial intelligence (AI) to work. Its potential seems limitless. Big business benefits at the snap of a finger. But then reality hits: the value that AI can deliver isn’t easy. Even IBM, a pioneer in the early age of AI (or AI’s rebirth if you want to trace it back […]