Advertisement

Upcoming Webinars

Jun 3 DGPO Webinar: Electrifying the Data Culture at Hydro One

DATE: June 3, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar is Developed by: About the Webinar This is a story of how a small data team changed the data culture of a large electrical utility with $27.1B(1) in assets. Focusing on the…

Latest Blogs by Industry Experts

Cloud Migration to Hybrid Environments: Ensuring Success

Click here to learn more about Gilad David Maayan. A hybrid environment is an infrastructure design, including some combination of public clouds, private clouds, or on-premise resources. It integrates these resources into a unified system in which you can access data and workloads across environments. A hybrid environment enables you to maintain applications or data on-premises while still benefiting from cloud scalability and availability. In this article, you’ll learn the…

The Four Data Management Mistakes Derailing Your BI Program

Click to learn more about author Emma Williams If there’s one thing I’ve learned as a BI consultant, it’s that Data Management problems, like speeding tickets and jury duty, are terribly common but somehow still feel unlikely to happen to you. I can’t tell you how many times I've seen BI implementations drag on for months and months because issues around data extraction, modeling, aliasing, and stewardship weren’t resolved or…

Data Quality is Not a Goal — It’s a Mindset!

Click to learn more about author Farah Kim. Although companies are insight-starved and are investing huge amounts of money in setting up data collection and storage infrastructure (tales of data lakes!), they are unable to formulate a Data Quality plan. In my experience working with enterprise-level clients, the reason behind this is simple — Data Quality is never given the attention it needs. 94 percent of respondents in The Global…

Case Studies

What is...?

What is Data Storage?

Data storage describes what type of, where, and how hardware or software holds, deletes,…

What is BASE?

BASE describes database processing germane to a NoSQL database, such as a data lake.…

What is ACID?

ACID properties characterize RDBMS (Relational Database Management System) database processing or a data warehouse.…

Most Recent Articles

Scaling the Analytics Team: Developing Key Roles

In an enterprise analytics team, different roles exist to fill different needs, and those needs must be met in order to be successful. Launching an analytics program doesn’t necessarily require a massive influx of personnel before producing usable insights from data, yet it’s important that critical roles are filled, whatever the size of the team. Multiple options exist for starting small and scaling up an analytics program, according to Evan…

Case Study: Tracking and Tracing Drugs in the Pharmaceutical Supply Chain

Failures or lack of visibility in the many-tiered pharmaceutical supply chain have multiple repercussions. Drug shortages have adverse economic and clinical effects on patients — they are more likely to have increased out-of-pocket costs, rates of drug errors, and, yes, mortality. Hospitals and health systems allocate over 8.6 million hours of additional labor hours to manage drug shortages each year at a cost of at least $360 million, with alternative…

Business Intelligence Meets Metadata Challenges

Many BI managers, CEOs, and CIOs cannot afford to add more staff, so they are seeking technologies that can help their existing teams operate more accurately and efficiently. They “need to change the physics, as we call it. They can’t just add more people to the team,” said Amnon Drori in a recent DATAVERSITY® interview. To have manual work done on premise using professional services combined with a variety of…

Optimizing the Data Warehouse

The data warehouse, a relational database technology, makes all enterprise information actionable, and will continue to be prominent as a Data Architecture component. In the 2000s, a typical business would consolidate data from multiple relational databases, centralizing all this information through a data warehouse, and consequently streamlining business tasks. However, the business context has shifted and continues to change from static and centralized to real-time and voluminous. Around the 2010s,…

Understanding DataOps

DataOps (data operations) has its roots in the Agile philosophy. It relies heavily on automation, and focuses on improving the speed and accuracy of computer processing, including analytics, data access, integration, and quality control. DataOps started as a system of best practices, but has gradually matured to a fully functional approach for handling data analytics. Additionally, it relies on, and promotes, good communications between the analytics team and the information…

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 available in real-time for analysis or processing, while the actual data remains in the source…

Latest Industry News

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept