Big Data Platforms

Distributed computing solutions for large-scale data processing

Overview

Big data platforms enable organizations to process and analyze massive datasets that traditional systems cannot handle. We build distributed computing solutions that scale from terabytes to petabytes, providing real-time insights and batch analytics.

Apache Spark

Unified analytics engine for large-scale data processing with in-memory computing for speed

Apache Hadoop

Distributed storage and processing framework for fault-tolerant batch processing at scale

Apache Flink

Stream processing framework for real-time analytics with exactly-once processing guarantees

Databricks

Unified analytics platform combining data engineering, ML, and collaborative notebooks

Presto/Trino

Distributed SQL query engine for interactive analytics across multiple data sources

Apache Hive

Data warehouse software for managing large datasets with SQL-like query language

Capabilities

Batch Processing

Process terabytes to petabytes of data efficiently

Stream Processing

Real-time analytics on continuous data streams

Data Lake Architecture

Store and analyze structured and unstructured data

Distributed Computing

Scale horizontally across thousands of nodes

Use Cases

Log Analytics

Process and analyze billions of log entries for insights and troubleshooting

Customer Analytics

Analyze customer behavior across millions of touchpoints for personalization

IoT Data Processing

Handle sensor data from millions of devices in real-time

Fraud Detection

Real-time analysis of transactions for anomaly detection at scale

Recommendation Engines

Process user behavior data to generate personalized recommendations

Supply Chain Optimization

Analyze logistics data for efficiency improvements and cost reduction

Why Choose Our Solution

Cost Efficiency

Optimize cloud costs with efficient resource utilization and auto-scaling

High Performance

Sub-second query times on petabyte-scale datasets with optimized architecture

Easy Integration

Seamless integration with existing data sources and business intelligence tools

Scale Your Data Infrastructure

Build distributed platforms that handle petabytes of data with sub-second query performance and real-time analytics