Big Data Platform Implementation: Build and manage platforms like Hadoop, Spark, and Kafka for big data processing.
Real-Time Analytics on Big Data: Enable real-time analytics on massive data streams, leveraging technologies like Apache Flink or AWS Kinesis.
Data Lakes Setup: Implement cloud-based data lakes for managing large volumes of structured and unstructured data.
Batch and Stream Processing: Process massive datasets in both real-time (streaming) and batch modes.
Scalable Data Infrastructure: Design and implement big data infrastructure to support data-heavy applications.