Remove 2021 Remove Data Architecture Remove Data Quality Remove Metadata
article thumbnail

Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

article thumbnail

How Knowledge Graphs Power Data Mesh and Data Fabric

Ontotext

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Embedding AI Into Every Aspect of Your Business

Cloudera

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. Build your data strategy around relevant data, not last years data because it’s easy to access. Airline schedules and pricing algorithms.

article thumbnail

Automate discovery of data relationships using ML and Amazon Neptune graph technology

AWS Big Data

The goal of a data product is to solve the long-standing issue of data silos and data quality. Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. We focus on the former.

article thumbnail

Augmented data management: Data fabric versus data mesh

IBM Big Data Hub

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

article thumbnail

The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

– In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends. We did in fact do so last year for the Leadership Vision for D&A Leaders 2021.