Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. She spent the last decade at SAP, driving innovations in cloud architecture, in-memory products, and machine learning video analytics.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Astera

JULY 3, 2024

This consistency makes it easy to combine data from different sources into a single, usable format. This seamless integration allows businesses to quickly adapt to new data sources and technologies, enhancing flexibility and innovation. It organizes data for efficient querying and supports large-scale analytics.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

The BAWorld

MARCH 13, 2024

Data Modeling: Building the Information Backbone Data fuels decision-making. Data modeling defines the entities, properties, relationships, and overall structure of a database or information system. Techcanvass takes a case study/projects based approach to help you learn the business analysis techniques and tools.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Astera

NOVEMBER 1, 2023

Data Analysts and Technologists Data analysts and technology professionals within financial institutions benefit from data warehousing by automating repetitive tasks like data extraction and transformation. This automation allows them to focus on higher-value activities such as data analysis, modeling, and innovation.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

MAY 25, 2023

However, businesses can also leverage data integration and management tools to enhance their security posture. How is big data secured? Big data is extremely valuable, but also vulnerable. Protecting big data requires a multi-faceted approach to security. Access Control Controlling access to sensitive data is key.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. In contrast, Data Mesh is particularly relevant for organizations with a distributed data landscape, where data is generated and used by multiple domains or business units.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52