Remove Accessible Remove Data Governance Remove Data Lake Remove Technology
article thumbnail

Low Friction Data Governance With Immuta

Data Engineering Podcast

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. What is data governance?

article thumbnail

Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

Just an illustration – not the truth and you certainly can do it with other technologies. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

Data Engineering Podcast

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. What do you have planned for the future of Privacera?

article thumbnail

The Future of Data Governance: 4 Trends to Watch Out For

Monte Carlo

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. At the same time, data governance technologies are growing more intelligent.

article thumbnail

Data Warehouse vs. Data Lake

Precisely

Technology innovators have developed a diverse range of platforms, but the distinctions between them can sometimes be confusing. Data warehouse vs. data lake, each has their own unique advantages and disadvantages; it’s helpful to understand their similarities and differences.

article thumbnail

Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

article thumbnail

Add Version Control To Your Data Lake With LakeFS

Data Engineering Podcast

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines. When is LakeFS the wrong choice?

Data Lake 100