Learn about ETL (extract, transform, load), and related tools and technology.
- Data Analysis
- Data Integration
- Data Pipeline
- Data Warehouse
- How to Guides
What is Data Streaming?
Data streaming is the process of sending data records continuously rather than in batches. Generally, data streaming is useful for the types of data sources that send data in small sizes (often in kilobytes) in a continuous flow as the data is generated. Learn more.Read blog post
Incorporating ETL into Your Data Warehousing Strategy
Learn how automated ETL tools enable business intelligence by integrating with and facilitating ETL into your preferred data warehouse.Read blog post
ETL Unleashes Competitive Advantage for the Gaming Industry
Dominating in the data-driven world of online gaming means surmounting numerous challenges, many of which can be effectively addressed with the help of a robust extract, transform, load (ETL) platform. Learn how Alooma can help game developers and publishers transform data into actionable insights.Read blog post
Using Real-Time ETL to Improve Decisions
The next evolution of data-driven decisions is real-time data driven decisions. This is how winning businesses of today and the future will compete. For real-time data analysis and decisions to work at scale, they need to be cloud-based, use real-time stream processing and utilize business intelligence tools.Read blog post