Introduction

In today’s hyper-connected, data-intensive world, enterprises must move beyond traditional processing to stay agile. Tata Elxsi’s Big Data and Engineering services enable organizations to transform fragmented, high-volume datasets into intelligent insights. We design cloud-native ecosystems for real-time streaming, batch, and serverless analytics using Apache Spark, Kafka, Flink, Airflow, and services on AWS, Azure, and GCP.​

​We help enterprises adopt unified Lakehouse architectures with technologies like Delta Lake, Hudi, and Iceberg to support AI/ML, real-time analytics, and ACID compliance. Our solutions also address cloud migration, AI observability, and cost optimization—building secure, scalable platforms that drive innovation and resilience.

Case Study

Revolutionising Driver Performance Management with AI-powered Advanced Telematics

Business Challenge

Modern enterprises face a surge in data volume, variety, and velocity—making traditional data systems inadequate for real-time decision-making and innovation. Legacy ETL processes, and limited scalability hinder operational efficiency and timely insights. Additionally, the complexity of managing hybrid and multi-cloud environments, ensuring regulatory compliance, and optimizing cloud costs creates significant challenges. Businesses need robust, cloud-native data platforms that can handle streaming and batch workloads, integrate with modern frameworks like Lakehouse and data mesh, and support AI/ML at scale. Addressing these challenges is critical to unlocking data’s full potential and achieving measurable business impact.

Here’s How We Help
Here’s How We Help

Here’s How We Help

1. Intelligent Data Pipelines​

  • Design real-time and batch ETL with Apache Spark, Kafka, Flink, and Airflow. Ingest structured, semi-structured, and unstructured data from IoT, APIs, apps, and platforms.​
  • Enable event-driven streaming with serverless orchestration (e.g., AWS Lambda, Google Cloud Functions) for low-latency analytics, personalization, and ML.​

2. Modern Data Architecture​

  • Build scalable Lakehouse, Data Mesh, and Data Fabric architectures. Deploy secure, cloud-native solutions on AWS, Azure, GCP, Databricks, and Snowflake.​
  • Support hybrid/multi-cloud with automation and high availability. Accelerate cloud migration via templates and tools with minimal disruption.​

3. Governance & Operationalization​

  • Embed observability, lineage, and access control across the stack. Use real-time dashboards and alerts to monitor pipeline health.​
  • Automate governance, auditing, and compliance (GDPR, HIPAA, CCPA). Optimize cost via workload scheduling, autoscaling, and FinOps practices.

Solution Framework

Solution Framework

Tata Elxsi’s Big Data & Engineering framework enables scalable, cloud-native data processing via streaming and batch pipelines. Designed for hybrid and multi-cloud setups, it supports serverless execution, automated orchestration, and seamless cloud migration. It enables real-time decisioning with built-in governance, observability, and a cost-optimized, auto-scaling architecture. Technologies like Apache Spark, Kafka, Flink, Airflow, and cloud platforms including AWS, Azure, GCP, Databricks, and Snowflake ensure high performance, resilience, and scale.

Solution Features

Unified Data Engineering Pipeline

  • ​Manages ingestion to AI/ML modeling across real-time and batch​
  • Uses Apache Spark, Kafka, Airflow, Flink for ETL orchestration​
  • Enables serverless execution via AWS Lambda, Azure Functions​
  • Handles structured, semi-structured, and unstructured data

Scalable, Cloud-Agnostic Infrastructure

  • ​Deploys on AWS, Azure, GCP, Databricks with multi-tenant support​
  • Automates provisioning, data movement, event-driven workflows​
  • Supports scaling, balancing, and DR for availability​
  • Integrated with Terraform, Kubernetes, and CI/CD pipelines

Built-in Intelligence & Observability

  • ​Provides dashboards, log tracking, resource schedulers, and cost tools​
  • Ensures auditability, lineage, and access control for compliance (GDPR, HIPAA, SOC 2)​
  • Embedded with Prometheus, Grafana, and OpenTelemetry for performance tuning

Why Tata Elxsi ?

  • ​Optimize cloud costs with real-time usage insights and smart cost governance across data pipelines​
  • Ensure fast, secure cloud migration with minimal disruption to your business​
  • Deploy serverless and container-based analytics for lower overhead and quick scaling​
  • Simplify event-driven workloads with real-time streaming data architectures​
  • Proven track record of delivering 35%+ cost savings and 99.9% uptime for data-driven platforms

Info Hub

Attention

Attention

This website is best viewed in portrait mode.

We Use Cookies

When you visit a website, it may store or retrieve information in the form of cookies on your browser. This information may pertain to you, your preferences, or your device and is mainly used to ensure that the site functions as expected.

For additional information Cookie Policy

We Use Cookies