A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]
7 Factors to Consider When Deploying a Modern Data Estate
The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. Many companies have already invested in their data environment by deploying a traditional data warehouse, but data warehouses have many limitations. For example, most data warehouses […]
Where Is the Data Technology Industry Headed?
Click here to learn more about Heine Krog Iversen. We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]
Data Preparation Need Not Be Cumbersome or Time Consuming
Click to learn more about author Kartik Patel. Data drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through advanced analytics are mandatory. These data-driven decisions ensure that a business does not make a misstep or have to guess at forecasts, plans, and the root cause of problems. But, with […]
What Is Augmented Data Preparation and Why Is It Important?
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 a Data Mart?
A data mart is a subset of a data warehouse designed to service a specific business line or purpose. Data warehousing pioneer Ralph Kimball conceived of data marts to “begin with the most important business aspects or departments.” This bottom-up dimensional approach creates a user-friendly, flexible data scheme that delivers reports rapidly, without having to […]
A Brief History of Data Lakes
Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]
Data Lake vs. Data Warehouse: How to Choose?
Trying to decide on a data lake vs. data warehouse for your organization? As Kelle O’Neal, CEO and founder of First San Francisco Partners, pointed out during her presentation at the DATAVERSITY® 2017 Enterprise Analytics Online Conference, you don’t need to choose just one: Many organizations use both a data lake and data warehouse. That’s […]
Enterprise Data Needs a Good Yogi
Click to learn more about author Ken Tsai. When it comes to data complexity, the IT community and yoga community want the same thing – serenity and flexibility. A recent study, “Data 2020: State of Big Data,” shows that half of the responding IT decision makers believe that data is inaccessible to a wide variety […]
Why Sometimes Business Intelligence Projects Don’t Take Off
Click to learn more about author Michele Iurillo. Oh. What a big question, I’m sure you’ve seen everything in your experience, but there are repeating patterns, taking some results of a recent Gartner survey, I’ll try to analyze the different problems. Projects that never end, erroneous reports, non-standardized data, difficulty in generating reports that say something, […]