To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare. Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was […]
Data Management tools are used to develop and monitor practices, as well as organize, process, and analyze an organization’s data. These tools are designed to arrange and harmonize data, and should provide a high degree of efficiency and effectiveness. Data Management tools also support privacy, security, and the elimination of data redundancy. Effective Data Management […]
Edge computing (EC) allows data generated by the Internet of Things (IoT) to be processed near its source, rather than sending the data great distances, to data centers or a cloud. More specifically, edge computing uses a network of micro-data stations to process or store the data locally, within a range of 100 square feet. […]
Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. While existing Data Quality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […]
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in […]
Building a Data Strategy – Practical Steps for Aligning with Business Goals from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right […]
The pandemic has been a test for many businesses, especially when it comes to their agility, adaptability, and resilience. The ongoing crisis has shown that organizations must be equipped to rapidly respond to unexpected crises – be they cyberattacks, natural disasters, or even a global pandemic. To add to these, businesses constantly face a myriad […]
Now is about the time of year when people start rethinking their New Year’s resolutions. Regardless of how great the outcome would have been, perhaps their goals were too ambitious or vague to be reachable. The same holds true for major digital transformation efforts, including process automation. According to a recent survey, 9 out of 10 IT decision-makers said process automation […]
It’s human nature to want to point the finger at someone else when something goes wrong, but even if responsibility rightfully lies elsewhere, that’s an ineffective way to solve a problem. Sure, root cause analysis requires identifying the source of an issue, but all too often, we stop short at the person or group exhibiting […]
In the battle of the old vs. the new, it is evident that traditional identity and access management (IAM) solutions are gradually getting phased out by cloud solutions. Hence, there is a need to shift to cloud-based identity governance and administration (IGA) solutions. This type of cloud governance is more secure and reliable while providing […]
Download slides here>> Taking the right architectural approach to data governance can build a strong foundation for trusted data throughout the enterprise. An agile Data modeling management is proactive standardize increment schema designs, preventing data governance costly. Integrate data modeling and development, landing business glossary to data model, review data model in each iteration and […]
The primary purpose of implementing a Data Architecture is to standardize the methods and protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]
