Big Data Cloud Engineering Solutions
Navigate the fast-paced business landscape with our advanced data analytics solutions. Aggregate data from diverse sources to refine your strategy and strengthen your market presence.

Our Services

Unlock business efficiency with our premier big data and engineering solutions.
Big Data Consulting Services
Data Infrastructure & Engineering
Data Architecture
Data Pipelines
Data Analytics
Data Visualization
Artificial Intelligence

Business Benefits

Streamlined Decision-Making

Enhance data analysis with custom engineering software

New Business Opportunities

Discover and capitalize on growth avenues through data insights

Improved Product Quality

Tailor customer experiences based on data

Enhance data analysis with custom engineering software

Cost Reduction

Automate data processes to cut operational costs

Business Workflow Automation

Improve efficiency by automating repetitive tasks

Speed up Processes

Accelerate operations through best practices and automation

Our Approach

Comprehensive Business Assessment

We thoroughly analyze your business landscape, performance metrics, and data sources to identify challenges and set clear objectives. Our expert analysts and engineers collaborate to propose effective solutions that elevate your business

Data Collection & Preparation

We standardize and clean your data, transforming it into a suitable format for intelligent tool processing, ensuring high-quality input for analysis

In-Depth Analysis

Using advanced statistical methods and machine learning algorithms, we extract actionable insights to help you identify and address inefficiencies within your business

Strategic Implementation

We leverage leading cloud platforms like AWS, Azure, and Google Cloud, or custom-build on-premises systems using Apache, Python’s scientific and ML stack, integrating seamlessly into your existing infrastructure

How You Stand to Benefit?

Our multi disciplinary team of data scientists, big data engineers, solution architects, and consultants helps you unlock the full potential of your data and the latest AI technologies.

Technology Stack We Use

Cloud Infrastructure

Azure
AWS
GCP
DataBricks

Data Ingestion

Sqoop
Flume
Kafa
Nifi

Data Storage

SQL databases
NoSQL databases
Data lakes
Amazon S3

Batch & Real Time Processing

Hadoop
Apache pig
Apache Storm
Flink

Data Integration & Workflow Management

Airflow
NiFi
Luigi
Apache Atlas

Data Analytics & ML

Python
Pandas
Numpy
Scikit-learn

Visualization Tools

Grafana
Tableau
Matplotlib
Plotly

DevOps Containerization & Orchestration

Git
Jenkins
Docker
Kubernetes

Infrastructure as Code

Terraform
AR Manager
AWS CloudFormation

Frequently Asked Questions

 

  • Big Data Strategy: Aligns data strategy with business goals.
  • Data Architecture: Designs scalable data architectures.
  • Data Integration & ETL: Streamlines data processes.
  • Data Governance: Ensures data integrity and compliance.
  • Data Visualization: Develops interactive dashboards.
  • Machine Learning: Applies ML for actionable insights.
  • Assessment: Evaluate data landscape.
  • Strategy Development: Align with business goals.
  • Implementation Plan: Create a roadmap.
  • Execution: Assist with implementation.
  • Monitoring: Continuously optimize.

We follow industry best practices to ensure data security and compliance, including:

  • Data Access Controls: Implementing role-based access controls to ensure that only authorized personnel have access to sensitive data.
 
  • Data Encryption: Using encryption techniques to protect data at rest and in transit.
 
  • Compliance Frameworks: Adhering to relevant compliance standards such as GDPR, HIPAA, and CCPA.
 
  • Regular Audits: Conducting regular security audits and vulnerability assessments to identify and mitigate risks.

Our team utilizes a variety of tools and technologies for data integration and ETL, including:

  • ETL Tools: Talend, Apache Nifi, Informatica.
  • Data Integration Platforms: Apache Kafka, MuleSoft.
  • Cloud Services: AWS Glue, Google Cloud Dataflow, Azure Data Factory.
  • Database Technologies: SQL, NoSQL, Hadoop, Spark.

Yes, SAVYMINDS specializes in data visualization and reporting. We help you choose the right visualization techniques and develop interactive dashboards and reports using tools like:

  • Tableau
  • Power BI
  • Looker
  • D3.js

Our goal is to transform complex data into clear and actionable insights.

Our process for implementing machine learning models includes:

  • Data Preparation: Cleaning and pre-processing the data to ensure it’s ready for model training.
 
  • Algorithm Selection: Choosing the appropriate machine learning algorithms based on the problem at hand.
 
  • Model Training: Training the models using historical data.
 
  • Model Evaluation: Assessing the performance of the models using various metrics and validation techniques.
 
  • Deployment: Implementing the models in a production environment.
 
  • Monitoring: Continuously monitoring the model performance and making necessary adjustments to maintain accuracy.

Send us a message

Please feel free to send us any questions, feedback or suggestions you might have.

Begin Your Big Data Cloud Journey

Connect with SAVYMINDS today to explore how our solutions can transform your data collection & governance strategy into actionable business outcomes.

Get in touch with us

Please feel free to send us any questions, feedback or suggestions you might have.