Evolutions occur gradually, and the evolution of textual data’s capabilities has shown the value inherent in it, despite the limitations of traditional database management systems The least obvious time to be aware that you are witnessing an evolution is in the middle of the evolution. Evolutions occur gradually and naturally, to the point that they just seem natural to the
A Privacy Impact Assessment, or PIA, is an analysis of how personally identifiable information (PII) is collected, used, shared, and maintained Introduction Along with all the other acronyms concerning privacy, PII (Personally Identifiable Information), GDPR (General Data Protection Regulation), DPO (Data Protection Officer), COPPA, (Children’s Online Privacy Protection Act), and many others, another one has emerged: PIA (Privacy Impact Assessment) . PIAs
Every organization’s analytics strategy should be connected to its data strategy; and every organization should have a data strategy that supports its business strategy Introduction Like the lyrics in the children’s song Dem Bones, “the hip bone’s connected to the thigh bone”, your data strategy is connected to your analytics strategy – or it should be! Further, your analytics strategy
Proper enterprise architecture must include business focus and business involvement, and models of business requirements at all levels are needed as well as models for hardware, software, network, data, etc.… Introduction Recently, I received a letter from a friend of mine who was valiantly trying to initiate some architectural activity in a very large enterprise within a very important industry
Realizing the most value from cloud migration can be achieved through adopting a new architecture to suit legacy and current databases Introduction Cloud adoption rates continue to increase due to the cost savings, flexibility, reliability, scalability, and often improved security that can be accomplished using a cloud solution. A PaaS (platform as a service) approach can be used to host
Database management systems and query engines may seem to be suited for analytics. However, it is important to understand the technical and business requirements for the solution before choosing. Introduction As we travel through life, we are constantly assessing our choices. Should you eat that salad, or opt for the burger? Should you marry your partner or seek greener pastures
Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design Introduction In working with many large corporations across a variety of industries, it is clear that we all face the reality of re-architecting data warehouses, whether we want to admit it or not. Since data warehouses are business driven (rethink your strategy
The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to operations and decisions Introduction The data landscape is changing faster than before. Big data, legacy data, external data, internal data, data of data and much more; organizations want to use all possible types of data
Database operations is the development, maintenance, and support of structured data to maximize the value of data across the organization. This function includes database support and data technology management. Introduction The management of database operations provide support to the organization for its data and information, from data acquisition to data purging. Database support is at the heart of data management,
Every organization needs a set of foundational policies to manage the basic operations of data governance. Policies are different from guiding principles Introduction Every organization needs to create and maintain a set of basic or foundational policies to manage the operations of data governance effectively. Many people confuse the terms “policy” with “guiding principle.” Policies are “the overall business rules
