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Big Data Strategy, Architecture & Platform Selection

Build a Scalable, High-Performance Big Data Foundation for Enterprise Analytics & AI

Global Reach

Strategies adapted for international markets.

Rapid Deployment

Accelerated timelines for quicker ROI.

Risk Mitigation

Comprehensive compliance and security.

Overview

Strategic Innovation

Enterprises today generate massive volumes of data across applications, transactions, devices, sensors, customer interactions, operations, and digital platforms. However, this data often rests in fragmented systems, legacy warehouses, or siloed departmental repositories—slowing down analytics, AI, reporting, and decision-making. SkillzRevo’s Big Data Strategy, Architecture & Platform Selection service helps organizations build a modern, scalable, cloud-ready big data ecosystem aligned with business goals, future AI initiatives, and enterprise transformation needs. We partner with CIOs, Chief Data Officers, enterprise architects, analytics leaders, and engineering teams to define a clear strategy, evaluate readiness, rationalize legacy systems, and select the right big data platform (Snowflake, Databricks, AWS/Azure/GCP ecosystems, etc.). Our approach ensures performance, governance, cost efficiency, and long-term scalability.

"We don't just advise; we partner with you to implement solutions that drive tangible growth."

Why Choose This Service?

  • Data-Driven Decision Making
  • End-to-End Implementation
  • Scalable Architecture
Capabilities

How We Transform Business

Enterprise Big Data Vision & Strategy Development Define long-term goals, architectural principles, business value drivers, and strategic adoption roadmap.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Current-State Assessment & Ecosystem Modernization Blueprint Evaluate existing data lakes, warehouses, ETLs, pipelines, governance, security & operational maturity.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Big Data Architecture Design (Data Lake, Lakehouse, Warehouse) Create scalable designs for ingestion, storage, processing, governance, and consumption layers.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Platform Evaluation & Tool Selection Snowflake • Databricks • AWS Glue • S3 • Azure Synapse • GCP BigQuery • Kafka • Spark • Flink

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Big Data Operating Model & Governance Framework Define roles, processes, engineering standards, quality models, access policies & operational workflows.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Cost Modeling, Scalability Planning & Workload Prioritization Plan infrastructure, compute, storage, and functional expansion with TCO (total cost of ownership).

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Cloud Migration Roadmap & Modernization Strategy Define stepwise migration from on-prem to cloud-native big data ecosystems.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Security, Compliance & Regulatory Planning Implement RBAC, encryption, compliance mapping (GDPR, DPDP, ISO, SOC2), and data lifecycle controls.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Impact

Real World Results

Case Study

Big Data Strategy for a Banking & Financial Services Enterprise

The enterprise needed a unified big data ecosystem to support AI, fraud analytics, and customer intelligence. What we delivered:

Solution

  • Big Data vision & multi-year roadmap
  • Architecture blueprint aligned with risk & governance
  • Platform comparison (Snowflake vs Databricks vs BigQuery)
  • Scalability & cost optimization model

Impact

40% improvement in data availability Accelerated AI model deployment Stronger governance & risk compliance
Case Study

Big Data Modernization for a Retail Group

Legacy systems slowed reporting, personalization, and inventory analytics. What we delivered:

Solution

  • Cloud data lake architecture (AWS-based)
  • Modern ingestion pipelines using Kafka & Spark
  • Data quality & governance framework
  • Tech stack rationalization

Impact

3× faster analytics processing Real-time insights for merchandising Reduced legacy maintenance cost
Case Study

Platform Selection for a Healthcare Network

The organization needed to identify the best platform for massive clinical, operational & IoT datasets. What we delivered:

Solution

  • Platform evaluation: Databricks vs Snowflake
  • Data security model for PHI
  • Modernization roadmap for EHR data
  • Streaming + batch hybrid architecture design

Impact

High trust & security for patient data Better readiness for predictive analytics 30% improvement in query performance

Technology Stack

SkillzRevo partners with leading global big data platforms:

Cloud Platforms: AWS • Azure • Google Cloud
Big Data & Lakehouse Platforms: Snowflake • Databricks • Delta Lake • Iceberg • BigQuery • Synapse
Distributed Processing Engines: Apache Spark • Kafka • Flink • Presto • Hive • EMR
Storage & Orchestration Tools: S3 • ADLS • GCS • Airflow • dbt • Glue • Terraform

Our partnerships ensure modern, scalable, secure, and enterprise-grade big data architectures.

Market Intelligence

90% of organizations report struggles with fragmented and unstructured data.

  • Cloud-native big data platforms reduce operational cost by 30–60%.
  • Data lakehouse adoption is growing at 25% CAGR.
  • Real-time analytics improves business decision-making speed by 40%.
  • Modern big data platforms accelerate AI readiness significantly.
  • Enterprises with strong big data architectures outperform peers in scalability and innovation capability.

"Big data strategy is foundational for AI, analytics, automation & digital transformation."

Meet Our Experts

Mr. Ashish Tiwari
8+ Years
500+ Students

Mr. Ashish Tiwari

Mr. Ashish Tiwari has done his Masters in Al&ML. He is a Data Scientist having experience of over 8+ years. He has trai…

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Usha Nandhini S
9+ Years
300+ Students

Usha Nandhini S

With over 9 years of expertise in computer programming and 2+ years of specialized focus in Data Science, AI, Machine L…

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Mr. Uttam
12+ Years
400+ Students

Mr. Uttam

Uttam Grade is a seasoned Data Scientist and Data Science Trainer with extensive expertise in delivering advanced …

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Dr Lakshmi Sree Kailasam
16+ Years
800+ Students

Dr Lakshmi Sree Kailasam

Dr. Lakshmi has over 16+ years of experience in diverse domains, including ISO, Scrum, Agile and Project Managemen…

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Mrs. Zainab Sidddiqui
16+ Years
800+ Students

Mrs. Zainab Sidddiqui

Zainab Siddiqui is a driven and results-oriented Machine Learning Engineer specializing in computer vision, NLP, an…

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Dr. Santosh Srivastava
12+ Years
200+ Students

Dr. Santosh Srivastava

Dr Santosh Srivastava is a PhD holder and has more than 12 years of experience in Training, Research, and Consultancy a…

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Mr. Arihant Jain
8+ Years
200+ Students

Mr. Arihant Jain

Mr Arihant is an accomplished Senior Data Scientist with over 12+ years of valuable experience in Machine Learning, Dee…

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Mr. Bidhan Sen
8+ Years
200+ Students

Mr. Bidhan Sen

Bidhan Sen is an accomplished data analytics professional with a wealth of experience across tools like Power BI, Table…

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Mr. Rohan Dixit
10+ Years
200+ Students

Mr. Rohan Dixit

Rohan Dixit is an experienced Data Science Consultant with deep expertise in Python, SQL, Power BI, and advanced analyt…

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