The legacy architecture of some organizations’ data systems may need a serious upgrade to stay competitive. For example, the old architecture of a business may provide a clumsy fit when accessing cloud services and take longer to transfer data and perform tasks within the cloud. This results in higher cloud costs. Additionally, upgrading to a […]
Data Modeling Trends in 2023: A Refresh
Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
NoSQL Databases: Advantages and Disadvantages
NoSQL databases (aka non-relational databases) come with both advantages and disadvantages. On the plus side, they are more scalable than traditional relational databases and can store a variety of formats. Additionally, they are easy to use, and their flexibility can speed up development, especially in a cloud computing environment. NoSQL databases were developed as a […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]
Data Lineage and Data Quality: How They Intersect
The intersection of data lineage and Data Quality helps provide more accurate and useful information. Data Quality represents the accuracy of data. Internet businesses need good Data Quality to operate efficiently. Unfortunately, there can be obstacles in gathering, storing, and maintaining high-quality data. The use of data lineage can help eliminate those Data Quality obstacles by providing […]
Cloud Migration Best Practices
Organizations are migrating to the cloud because of various benefits: reduced administrative overhead, flexibility of expanding or contracting storage requirements at the push of a button, visible operational cost savings – and all without buying or retiring physical servers at the data center. An increasing number of enterprises and organizations see cloud migration not only […]
Data Mesh 101
In today’s complex business environment, data lakes and data warehouses may not be sufficient to meet organizational requirements. From the perspective of agility, both data lakes and data warehouses have limitations when it comes to maintaining and managing various types of data. Enter data mesh. The idea of a data mesh was born when Zhamak Dehghani, the […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]
Data Fabric Architecture 101
Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a single Data Management solution to enable businesses to access and connect data across disparate sources and provision a unified, virtual environment for data processing. “The emerging design concept called ‘data fabric’ […]
How to Become a Data Security Analyst
A data security analyst, also known as an information security analyst, is responsible for monitoring and analyzing network activity to identify potential threats or risks. Data security analysts primarily analyze data, conduct research, and use complex analytical tools to address problems related to confidentiality, availability, and integrity of data in an organization. Data security analysts […]