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Big Data

Data at
Scale.

Big data solutions that handle any volume, velocity, and variety. From data lakes to real-time analytics, we build the infrastructure that powers data-driven enterprises.

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Big Data, Big Results

Modern businesses generate more data than ever before. Our big data solutions help you capture, process, and derive value from all your data - structured and unstructured, batch and streaming. We design and implement scalable architectures that grow with your business while keeping costs under control.

Our Capabilities

Big Data Services

Infrastructure for the data age.

01

Data Lake Architecture

Scalable data lakes for storing structured and unstructured data. Raw data storage with organized access layers.

02

ETL/ELT Pipelines

Automated data pipelines that extract, transform, and load data from any source to any destination.

03

Stream Processing

Real-time data processing for instant insights. Process millions of events per second with low latency.

04

Data Governance

Data quality, lineage tracking, and compliance. Ensure your data is accurate, secure, and auditable.

05

Cloud Data Platform

Modern data infrastructure on AWS, Azure, or GCP. Managed services that scale automatically.

06

Data Warehouse

High-performance analytical databases. Snowflake, BigQuery, Redshift, and custom solutions.

The Advantage

Why Choose Aexaware for Big Data

Enterprise-grade big data engineering.

Modern Architecture

Latest big data technologies for performance and scalability.

Cost Optimization

Reduce data infrastructure costs by 40-60% with efficient design.

Any Scale

Handle gigabytes to petabytes with the same expertise.

Cloud-Native

Fully managed services that eliminate operational overhead.

Real-Time Ready

Architecture built for both batch and streaming workloads.

Enterprise Security

Encryption, access control, and compliance built in.

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Our Technical Toolbox

Apache Spark
Airflow
Apache Kafka
Snowflake
AWS
Azure
GCP
Databricks
dbt
Got Questions?

Frequently Asked Questions

What is a data lake and do I need one?
A data lake stores raw data in its native format, unlike structured data warehouses. You need one if you have diverse data sources (logs, sensors, social media), want to enable advanced analytics, or need to preserve data for future use cases.
How long does big data implementation take?
Basic data infrastructure takes 2-3 months, while enterprise-scale implementations take 6-12 months. We provide phased implementations so you can start seeing value quickly.
Can you migrate our existing data to the cloud?
Yes, we have extensive experience migrating on-premise data infrastructure to AWS, Azure, or GCP. We minimize downtime and ensure data integrity throughout the migration.
How do you ensure data security?
We implement encryption at rest and in transit, fine-grained access controls, audit logging, VPC isolation, and compliance with GDPR, HIPAA, and SOC 2 requirements.

Let's Build Something
Extraordinary.

Let's build something extraordinary together.

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