Data-Ed Online: Data Management Best Practices from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how […]
How to Become a Certified Data Management Professional
With the field of Data Management constantly evolving and becoming increasingly competitive, getting certified as a data professional helps you stand out from the crowd. The certification process requires applicants to demonstrate their knowledge and understanding of various areas of Data Management, such as database design, data modeling, data governance, programming, analytics, and data visualization. Many […]
Using Graph Technology in the Evolution of AI
Graph technology is being used to promote the evolution of artificial intelligence. Graph databases show how data is interlinked, expressing relationships within the data that cannot be communicated using a tabular SQL system. They work especially well when complex patterns must be identified quickly. Graphs are an excellent tool for inferring relationships and enhancing artificial […]
Data Governance 101
Data Governance (DG), a formalized practice that connects different components – such as roles, processes, communications, metrics, and tools – increases data’s value. By harmonizing these fundamental elements, governance ensures that the right data flows efficiently to the right resources at the right time. In this Data Governance 101 article, we will look at the definition […]
ADV Slides: MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage from DATAVERSITY To view the On Demand recording from this presentation, click HERE>> This webinar was sponsored by: About the Webinar MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps […]
ADV Webinar: MLOps – Applying DevOps to Competitive Advantage
To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery […]
What Is a Data Lake?
A data lake is an environment where a vast amount of data, of various types and structures, can be ingested, stored, assessed, and analyzed. Data lake technologies can scale to massive volumes of data, and combining datasets is easy with data stored in a relatively raw form. A data lake architecture can centralize data over distributed storage, providing a scalable, […]
Webinar: Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality […]
Slides: Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health […]
Getting Executive Buy-In for Data Analytics
In a world driven by data, business analytics and data analytics can work together to maximize efficiencies, uncover actionable insights, and help businesses drive value. Data analytics is an iterative study of data in an organization, focusing on applying statistical and other techniques to uncover insights that may help to promote innovation and the financial […]