Remove 2021 Remove Data Architecture Remove Data-driven Remove Machine Learning
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. Donna Burbank. TDWI – David Loshin.

article thumbnail

2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Bridge the data literacy skills gap with data storytelling

IBM Big Data Hub

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

article thumbnail

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

AWS Big Data

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. This is especially true in a large enterprise with thousands of data products.

article thumbnail

Leaning into Retail’s Challenges with Digital Transformation

CIO Business Intelligence

And how is that data reconciled into the POS systems to determine in-store product quantity? Can data be used to predict future demand based on weather or local events? To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems.

article thumbnail

Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

article thumbnail

The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.