Upcoming Webinars
DATE: July 12, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust…
DATE: July 14, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar How will AI and analytics change life in the next 25 years? In this episode, we look forward to the next 25 years and will…
DATE: July 21, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by About the Webinar Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be…
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Latest Blogs by Industry Experts

Read more about author Anand Mahurkar. In the current business landscape, traditional enterprises are looking for agile technologies to accelerate growth and digital transformation. Many of these organizations have petabytes of data stored in enterprise resource planning (ERP) systems and while ERP platforms can provide an overview of “what happened,” many organizations want to know “what will happen” or “what’s the persona of my user?” or “how much inventory should we order for next quarter?”…

Read more about author Farshid Sabet. Hospitals are one of the best examples to spotlight the complexities of unstructured data. From physicians’ notes in EHRs, emails, text files, photos, videos, and other files, the majority of patient data cannot be read by machines. Research firm IDC estimates that upwards of 80% of data will be unstructured, growing from 33 zettabytes in 2018 to 175 zettabytes by 2025. This example demonstrates a huge challenge in dealing…

Read more about author Gilad David Maayan. A cloud database runs on a cloud computing platform that delivers it to users as a service. Cloud services offer various cloud databases, including SQL and NoSQL databases. Here are the two main cloud database deployment models: Use a virtual machine (VM) to run your databases on the cloud privatelyPurchase access to a database service maintained by a cloud provider The main advantage…

Read more about author Irfan Gowani. Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI. The proven approach to seamlessly designing and deploying a data warehouse is putting enterprise data modeling at the center of your data warehousing process. By doing so, you can ensure…
Recent Articles

Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long queue of related technologies—have reshaped global…

Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some…

“The main purpose of a data model is actually not to design a database—it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at the…

The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become…
What is...?

Database Management allows a person to organize, store, and retrieve data from a computer.…

A data catalog centralizes access to all of an organization’s available data assets through…

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

Data Strategy describes a “set of choices and decisions that together, chart a high-level…

Data Governance is a collection of components – data, roles, processes, communications, metrics, and…