Business Examples of When to Use a Data Warehouse and a Data Lake
When would a business use a data warehouse?
- Sales and Marketing Analysis - Financial Reporting - Supply Chain Management
When would a business use a data lake?
- Big Data Analytics - Internet of Things (IoT) Data Management - Data Science and Machine Learning
Why would a business want to display big data in a graphic or visual format?
- Enhance Data Understanding - Facilitate Communication - Identify Relationships and Correlations - Support Data Exploration - Enable Real-Time Monitoring
Answers:
Let's dive into the reasons why businesses would use a data warehouse or a data lake and why they would want to display big data in a graphic or visual format.
Businesses would use a data warehouse when they need to perform in-depth analysis of structured data, such as sales and marketing data, financial reports, and supply chain information. By consolidating data from various sources into a data warehouse, organizations can make informed decisions based on a comprehensive view of the data.
On the other hand, a data lake is ideal for storing and analyzing vast amounts of unstructured and diverse data, such as data from IoT devices, social media feeds, and sensor data. Industries like e-commerce, telecommunications, and healthcare can benefit from the insights extracted from data lakes to drive innovation and improve decision-making.
Businesses would want to display big data in a graphic or visual format to enhance data understanding, facilitate communication across different stakeholders, identify relationships and correlations within the data, support data exploration, and enable real-time monitoring of key performance indicators. Visual representations of big data help stakeholders better comprehend complex datasets, communicate findings effectively, explore data relationships, and monitor business metrics in real-time for proactive decision-making.