Design, build and operate large-scale data platforms — from streaming ingestion to lakehouse modelling and ML pipelines — so UAE and WORLDWIDE organisations can extract reliable insights from high-volume, high-velocity data.

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Platforms Delivered

120+

Avg. Ingestion Latency

sub-second to minutes

Use Cases

Analytics • ML • Real-time Ops

Platform Outcomes Scalable, observable, cost-aware

Primary Focus

Throughput • Reliability

Streaming & batch parity

Approach

Lakehouse → Governance → ML

Repeatable, testable pipelines

Capabilities

Streaming Ingestion Lakehouse Modeling ML Pipelines Data Governance

We design big-data platforms that balance performance, cost and operational simplicity with clear SLAs and observability. Scale‑Ready

Overview

End-to-end big data engineering for production analytics and ML.

We build resilient data platforms that ingest, process and serve petabyte-scale datasets for analytics, reporting and machine learning while enforcing governance, lineage and cost controls.

Engagements include architecture design, ingestion and streaming pipelines, lakehouse modelling, data quality, feature stores, MLops integration and operational runbooks tailored to cloud, hybrid or on-premise environments in the UAE and WORLDWIDE.

Streaming & Ingestion

High-throughput ingestion with Kafka, Kinesis or managed streaming, plus connectors for databases, logs and IoT sources.

Lakehouse & Modeling

Delta/Parquet-based lakehouses, ACID tables, partitioning and dimensional models for performant analytics.

Data Quality & Lineage

Automated tests, monitoring and lineage so datasets are trusted and issues are detected early.

ML & Feature Stores

Feature engineering, feature stores and MLOps pipelines to productionise models with reproducibility and monitoring.

Core Services

Big Data services we deliver.

Architecture, pipelines, lakehouses, streaming analytics, ML pipelines and governance—practical implementations for large-scale data workloads.

UAE • USA • UK • AUS • CA

Big Data Architecture & Strategy

Design scalable, cost-aware architectures and roadmaps that align data platforms with business outcomes.

Platform selection & sizing
Cost & performance trade-offs
Roadmap & migration planning

Streaming Ingestion & Event Platforms

High-throughput event pipelines, schema management and connector ecosystems for real-time analytics.

Kafka / Kinesis / PubSub
Schema registry & governance
Connector & CDC integration

Batch Processing & ETL/ELT

Robust batch pipelines, orchestration and transformation frameworks for large-scale data processing.

Spark / Flink / Databricks
dbt for transformations
Orchestration with Airflow / Prefect

Lakehouse & Data Modeling

Implement Delta/Parquet lakehouses, ACID tables, partitioning and semantic models for analytics and ML.

Delta Lake / Iceberg / Hudi
Partitioning & compaction strategies
Dimensional & canonical models

Data Quality & Observability

Automated tests, monitoring, lineage and alerting to keep datasets reliable and trusted.

Great Expectations / Deequ
Lineage & impact analysis
Data quality SLAs & alerts

Feature Stores & MLOps

Feature engineering, feature stores and reproducible ML pipelines with monitoring and model governance.

Feature store design
MLOps pipelines & CI/CD
Model monitoring & drift detection

Data Governance & Security

Access controls, masking, lineage and policy automation to meet compliance and data-residency requirements.

RBAC & row-level security
Data masking & encryption
Policy-as-code & audit trails

Tools & Stack

Big data platforms and tooling we use.

We select technologies to match scale, latency and operational constraints: managed cloud services, open-source engines and platform components that reduce operational overhead while delivering performance.

Tooling choices are pragmatic and tailored to your environment: cloud-managed lakehouses, streaming platforms, orchestration and ML tooling for production-grade big data.

Streaming & Messaging

Apache Kafka Kinesis Pub/Sub

Processing Engines

Apache Spark Flink Databricks

Lakehouse & Storage

Delta Lake Iceberg S3 / GCS / ADLS

Orchestration & Transform

Airflow dbt Prefect

MLOps & Feature Stores

MLflow Feast SageMaker / Vertex AI

Observability & Governance

Datadog Great Expectations Collibra / Alation

Why Choose Us

Big data partners who deliver reliable platforms and measurable outcomes.

We combine platform engineering, data science and operational discipline to deliver big-data platforms that reduce time-to-insight, lower cost and scale with your business.

Our team works with engineering, analytics and product stakeholders to ensure platforms are observable, governed and aligned to business priorities.

Operational Excellence

Runbooks, SLOs and automation to keep pipelines healthy and reduce manual toil.

Cost & Performance

Rightsizing, tiered storage and compute strategies to balance latency and cost at scale.

Data Trust

Quality checks, lineage and governance so stakeholders trust analytics and ML outputs.

Local Market Knowledge

Experience delivering big-data platforms for UAE/WORLDWIDE organisations with regional hosting and compliance considerations.

Ready to build a big-data platform that scales?

Share your data volumes, latency needs and target use cases — we’ll return a big-data audit, recommended architecture and phased implementation plan tailored to your UAE or WORLDWIDE environment.

EMIRATES SOFT

All Services

Big Data Solutions Built for Scale, Speed and Operational Simplicity.