article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

article thumbnail

5 recommendations to get your data strategy right

IBM Big Data Hub

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The rise of data strategy. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

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

Implementing Data Governance in the Manufacturing Industry

Alation

Manufacturers are generating mountains of data not only from your business, but also from an increasing array of internet of things (IoT) devices; innovative manufacturing technologies; connected suppliers, vendors, and partners; and increasingly connected customers. What are the data challenges facing manufacturers?

article thumbnail

Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics. An organization needs a unified data management and analytics platform that can support its business objectives. Cloudera Enterprise Platform as Big Data Fabric.