Big Data Solutions

Turn Massive Data Into Strategic Intelligence

Scale your analytics with enterprise big data solutions. Process petabytes of data, unlock hidden patterns, and make faster, smarter decisions with distributed computing and advanced analytics.

100PB+
Data Processed
<100ms
Query Latency
80%
Cost Reduction
10,000+
Queries/Second

Enterprise Big Data Capabilities

Complete big data solutions for modern data-driven organizations.

Distributed Computing

Process massive datasets efficiently with distributed computing frameworks like Spark and Hadoop.

  • Apache Spark & Hadoop clusters
  • Parallel processing at petabyte scale
  • In-memory computation for speed
  • Auto-scaling compute resources

Advanced Analytics

Extract deep insights from complex data with advanced analytics and machine learning at scale.

  • Predictive analytics & forecasting
  • Machine learning on big data
  • Statistical analysis at scale
  • Real-time recommendation engines

Data Lake Architecture

Centralized repositories storing structured and unstructured data at any scale for easy access.

  • Multi-format data storage (JSON, Parquet, Avro)
  • Schema-on-read flexibility
  • Cost-effective storage on S3/ADLS/GCS
  • Data cataloging & governance

Real-Time Processing

Stream processing for instant insights from high-velocity data sources and IoT devices.

  • Apache Kafka & Flink streaming
  • Complex Event Processing (CEP)
  • Sub-millisecond latency
  • Event-driven architectures

MPP Data Warehouses

Modern massively parallel processing warehouses optimized for petabyte-scale analytics.

  • Snowflake, Redshift, BigQuery
  • Columnar storage for fast queries
  • Query optimization & indexing
  • Pay-per-query cost models

Data Integration

Seamless integration of diverse data sources into unified, actionable intelligence.

  • Batch & streaming data ingestion
  • API & database connectors
  • Change Data Capture (CDC)
  • Data quality & validation

Big Data Technology Ecosystem

Leverage the most powerful open-source and cloud-native big data technologies.

HadoopProcessing
SparkProcessing
KafkaStreaming
FlinkStreaming
HiveWarehouse
ElasticsearchSearch
CassandraNoSQL
MongoDBNoSQL
RedisCache
ClickHouseOLAP
AWSCloud
AzureCloud
GCPCloud
DatabricksPlatform
SnowflakeWarehouse
PythonLanguage
ScalaLanguage
AirflowOrchestration

Real-World Big Data Applications

Solve complex business challenges with proven big data solutions.

Fraud Detection

Real-time fraud detection analyzing millions of transactions per second with machine learning models.

99.9% fraud detection accuracy

Customer Analytics

360-degree customer views analyzing behavior across all touchpoints for personalized experiences.

40% increase in conversion rates

IoT & Sensor Data

Process billions of IoT sensor readings for predictive maintenance and operational intelligence.

10 billion events/day processed

Log Analytics

Centralized log aggregation and analysis for security monitoring and operational insights.

Search across 50TB+ logs in seconds

Modern Big Data Architecture

A layered approach to building scalable, resilient big data systems.

01

Data Ingestion Layer

Collect data from multiple sources using batch and streaming pipelines with fault tolerance.

02

Storage & Lake Layer

Store raw and processed data in scalable data lakes with optimized formats and partitioning.

03

Processing Layer

Transform and enrich data using distributed computing frameworks for analytics workloads.

04

Analytics & Serving

Serve insights through fast queries, dashboards, APIs, and machine learning models.

Ready to Unlock Petabyte-Scale Insights?

Let's build a big data solution that scales with your business and delivers actionable intelligence from your massive data assets.

Unlimited Scale
Process petabytes effortlessly
Real-Time Speed
Sub-second query latency
Cost Optimized
80% reduction vs legacy