Big Data
& Data Lake
We help organisations build trusted, secure, and actionable Data Management practices essential for informed decisions, compliance, and AI-driven innovation. Our experts assess your data landscape, identify gaps, and deliver a tailored roadmap to create a scalable, well-governed ecosystem that supports operational efficiency and advanced analytics.
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Data Lake Strategy & Architecture
Designing a scalable and secure Data Lake that supports multi-format data ingestion across cloud, hybrid, or on-premise environments (AWS S3, Azure Data Lake, Google Cloud Storage, Hadoop).
Big Data Processing & Analytics
Implementing distributed computing frameworks such as Apache Spark, Hadoop, and Databricks to process large datasets at scale.
Real-Time & Streaming Data Integration
Enabling real-time data ingestion and processing using Kafka, Kinesis, Pub/Sub, and Flink, ensuring continuous data availability for analytics.
Data Lakehouse & Hybrid Approaches
Combining the flexibility of Data Lakes with the performance of Data Warehouses, leveraging modern lakehouse architectures (Databricks, Snowflake, Iceberg, Delta Lake) for enhanced analytics.
Data Governance & Metadata Management
Embedding data cataloging, lineage tracking, and access controls to ensure data quality, discoverability, and compliance with regulations (GDPR, CCPA).
Machine Learning & AI-Ready Infrastructure
Preparing data lakes to support advanced AI/ML workloads, providing seamless integration with TensorFlow, PyTorch, and AutoML.