Data Lakes
Data lakes are a core component of cloud-based data architectures providing scalability, cost efficiency, data...
Cloud-Based Data Architecture
Apache Hadoop
Apache Hadoop is a comprehensive framework for distributed storage and processing of large datasets across clusters of computers. It utilizes a simple programming model to handle vast amounts of data efficiently. With its robust ecosystem, Hadoop provides scalable, fault-tolerant solutions for big data processing and analytics, making it a cornerstone technology for data-intensive applications.
Features
- Distributed Storage: HDFS for scalable storage.
- Processing Power: MapReduce for parallel processing.
- Fault Tolerance: Automatic data replication.
- Ecosystem: Rich set of complementary tools.
Benefits
- Scalability: Handles petabytes of data.
- Cost-Effective: Utilizes commodity hardware.
- Flexibility: Supports various data types.
- Community Support: Extensive ecosystem and documentation.
Use Cases
- Big data analytics.
- Data warehousing solutions.
- Processing log and event data.
- Machine learning at scale.
Related
Custom Development Java
Experience cutting-edge, well-architected Java solutions tailored to your business needs. Leverage advanced and...
See our Technologies
Discover the wide range of innovative technology solutions we use and how they can improve your business.
Learn moreLet's talk about a solution
Our engineers, top specialists, and consultants will help you discover solutions tailored to your business. From simple support to complex digital transformation operations – we help you do more.