Big Data Services

Make your data work harder.

OVERVIEW

Unlock your data's full potential

Adamo delivers end-to-end big data analytics services that transform how businesses harness their data, extracting actionable insights from massive volumes while ensuring quality and accessibility. By combining cutting-edge technologies with our robust AI/ML practice, we create tailored data strategies that make your enterprise AI-ready, enhance customer experiences, enable smarter decision-making, and drive measurable business growth through responsible and sustainable data practices.

BENEFITS

Turn massive datasets into informed decisions

SERVICES

We provide end-to-end big data services

Big data consulting & strategy

Big data analytics

Big data management

Data migration

Data warehouse & Data lakes

Data integration

Big data automation

Big data visualization

Big data consulting & strategy

Our big data consulting services transform your data into a strategic advantage. Through comprehensive assessments and discovery sessions, we analyze your current landscape, identify gaps, and align capabilities with business objectives. Our data experts deliver a tailored roadmap that defines your data architecture, prioritizes initiatives, and provides clear implementation guidance to maximize value through effective governance and transformation strategies.

big data consulting and strategy service

Big data analytics

We deliver comprehensive data analytics solutions, from individual components to complete architectures, tailored to your business needs. Our highly secure implementations equip you with advanced analytics capabilities, including predictive and prescriptive analytics, that support real-time insights and big data processing at scale. Covering everything from initial analysis and deployment to user onboarding, we ensure you extract maximum value from your data and make smarter, forward-looking decisions.

Big data management

Our data management services build the foundation for reliable, accessible data across your business. We design and deploy secure, scalable infrastructures, from data lakes and pipelines to ETL/ELT processes, that centralize governance and enable self-service access through unified virtual layers. By creating searchable data catalogs, implementing distributed architectures, and embedding AI-driven insights, we empower your teams with organized, trustworthy data that's always ready when you need it.

Data migration

Our data migration services deliver seamless transitions across cloud environments, platforms, and systems with minimal disruption. Whether moving to AWS, Azure, GCP, or switching enterprise platforms, we execute zero-downtime migrations while preserving data integrity and business continuity. We handle database migrations, schema transformations, and performance tuning, help you select optimal cloud setups, and ensure data structure, business logic, and compliance remain intact throughout the journey.

Data warehouse & Data lakes

From architecture design to platform implementation on Databricks, Snowflake, or Fabric, we handle infrastructure setup, pipeline configuration, and unified data integration. Whether you need traditional warehouses, modern data lakes, or hybrid lakehouses, we deliver scalable ecosystems with real-time ingestion, smooth migration pathways, and cloud-native optimization.

Data integration

We connect your data ecosystem by building pipelines that pull in information from everywhere: CRM systems, marketing platforms, supply chain tools, social media, IoT devices, and beyond. Through ETL processes, replication, or virtualization, we unify fragmented data streams into one reliable source of truth. Quality controls are built in at every step, so the data flowing into your systems stays accurate and consistent.

Big data automation

Our big data automation services deploy AI-powered solutions that eliminate repetitive data tasks, accelerating operations and cutting costs. We automate every step of your data journey, from discovery and cataloging to metadata-driven processing and cross-platform integration, ensuring data flows seamlessly to where it's needed.

Big data visualization

We turn complex data into visual clarity. Our interactive dashboards and reports use intuitive charts, graphs, and diagrams that let stakeholders explore insights, spot trends, and act fast - no raw data wrestling required. Whether building custom solutions from scratch or tailoring platforms like Power BI, Tableau, or Looker, we deliver visualization tools that make decision-making smarter and more confident.

Looking for a trusted partner to implement big data analytics solutions?

CHALLENGES WE HELP SOLVE

Big data analytics challenges Adamo helps solve

Your challenges	How Adamo solves them
Data security & compliance “Is my data going to be safe? Are we talking real encryption and full compliance with the regulations that matter to our industry?”	Enterprise-grade security & compliance Your data is protected with enterprise-grade encryption and industry-specific compliance. For healthcare, we ensure HIPAA compliance with GDPR safeguards and audit trails. In finance, we implement SOC 2, PCI DSS, and banking regulations. For retail at scale, we maintain GDPR, CCPA, and secure payment standards.
Scalability & performance “Can this actually handle the data we’re dealing with now and scale up when we need it to, without everything grinding to a halt?”	Elastic scalability with high performance We design cloud-based big data architectures that automatically scale with demand while maintaining peak performance. Using load balancing, caching, parallel processing, and in-memory optimization, we reduce latency and keep systems fast as data volumes grow.
Integration with existing systems “Will this work with what we already have in place? Our CRM, ERP, cloud infrastructure, databases? Or are we looking at a massive integration headache?”	Seamless system integration Our solutions integrate smoothly with your existing stack — Salesforce, SAP, Microsoft Dynamics, AWS, Azure, and legacy databases. Through APIs and pre-built connectors, we link your CRM, ERP, and cloud systems without disruption or complexity.
High costs “What am I really paying for here? Setup costs, ongoing maintenance, scaling fees… what’s the real number, and can we actually afford this long term?”	Cost-efficient big data operations We optimize costs through flexible technology choices such as open-source platforms, serverless architectures, and usage-based models. You pay only for what you use, maximizing ROI while maintaining performance and scalability.

ADVANCED TECHNOLOGY ADOPTION

Our expertise in
advanced big data technologies

Generative AI

We help your business leverage Generative AI for instant text, image, and code creation - powering human-like interactions, dynamic content, and automation.

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Machine Learning

We deliver machine learning solutions, including reinforcement learning algorithms, to analyze data, forecast trends, and generate insights that enhance your decision-making

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Cloud

We build robust cloud applications that can scale on demand to support millions of users and offer smooth compatibility with all your existing third-party systems.

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IoT

Leveraging multi-industry expertise, we build custom IoT solutions that unify networks into intelligent systems delivering real-time, actionable insights to drive ROI.

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Blockchain

We provide blockchain-powered solutions that build systems to automate deals, drastically cut third-party costs, and lock down your data securely and automatically.

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LLM

We empower your business with LLMs that transform complex data into clear insights, automate workflows, and enable smarter decisions in real time.

TECH STACK

Technologies we use

Data Storage

Amazon S3

Amazon DocumentDB

Azure Data Lake

Google BigQuery

Google Cloud Storage

Apache Cassandra

Microsoft SQL Server

MySQL

Neo4j

PostgreSQL

Snowflake

Data Analytics

Amazon Redshift

AWS Lambda

Apache Spark

Azure Stream Analytics

Azure Analysis Services

Databricks

Database Integration & Management

Azure Cosmos DB

Azure Data Factory

Amazon Data Firehose

Amazon DynamoDB

Apache Airflow

Apache NiFi

Dagster

Apache ZooKeeper

IBM DataStage

IBM InfoSphere

Big Data Processing

Apache Kafka

Apache Storm

Apache Spark

Apache Flink

Apache Druid

Apache Hadoop MapReduce

Apache Giraph

Data Visualization

Power BI

Tableau

Looker

Looker Studio

Google Charts

SAP Analytics Cloud

Python

JavaScript

PROCESS

SOLUTIONS ACROSS INDUSTRIES

Big data services by industry

Travel & Hospitality

Our big data services help travel agencies predict customer demands, implement dynamic pricing and offer personalized offers.

Healthcare

We empower healthcare providers to analyze patient data, enhance diagnostics, optimize treatment plans, and stay secure and compliant.

Food & Beverage

We support retailers in monitoring customer behaviors, forecast demands and increase purchases through great CX.

Logistics

We offer route optimization, predictive inventory and supply chain flow to save costs.

E-commerce & Retail

Restaurants and franchises benefit from improved customer data management, optimized table booking, and personalized strategies.

Finance

Financial businesses can act quicker and reduce risks with our big data solutions.

FAQ

Frequently Asked Questions

How much does it cost to implement a big data analytics solution?

Costs vary based on your existing infrastructure, required functionality, custom development needs, and deployment model (on-premises hardware vs. cloud licensing). Simple projects start around $20,000, with more advanced solutions scaling accordingly. For a tailored estimate based on your specific requirements, schedule a free consultation with our experts.

What can predictive analytics do for my business?

Predictive analytics helps you forecast demand, detect fraud, prevent equipment failures, and anticipate customer behavior. Industries like finance, healthcare, and retail combine historical trends with real-time data to make proactive decisions, acting before problems occur or opportunities slip away.

At what point does data become "big data"?

Big data typically refers to datasets too large or complex for traditional tools to handle efficiently, often starting in the terabytes and scaling to petabytes or beyond. But volume alone doesn’t define it; big data is also characterized by velocity (how fast it’s generated), variety (structured, semi-structured, unstructured), and the need for specialized processing frameworks like Hadoop, Spark, or cloud platforms to extract meaningful insights.

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Big Data Services

Unlock your data's full potential

Turn massive datasets into informed decisions

Make smarter decisions faster

Drive competitive innovation

Proactively manage risks

Optimize operational efficiency