Cloud Analytics

Discover How We Revolutionized SaaS Scalability—Unleashing Seamless Growth.

Transform Raw Data into Strategic Advantages Through Powerful Cloud-Based Analytics and Reporting.

Process Automation

What is Cloud Analytics & Big Data?

Cloud Analytics allows organizations to collect, process, analyze, and visualize data through cloud tools and infrastructure. Big Data solutions manage huge amounts of high-speed, varied datasets so that companies can extract value and trends in real-time.
From ETL pipelines to ML-driven dashboards, we make your data infrastructure fast, flexible, and future-ready

What We Offer

Background

Benefits of Cloud Analytics & Big Data

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Real-Time Business Intelligence

Instantly react to market trends, user activity, or system issues.

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Centralized Data for All Teams

Break silos with a single source of truth, available from anywhere.

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Scalable to Petabytes

Handle growing data volumes without rewriting architecture.

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Predictive & Prescriptive Power

Make not just informed decisions — but forward-looking ones.

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Automated Insights

Set triggers, alerts, and scheduled reports for leadership and ops.

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Security-First Analytics

Fine-grained control and compliance baked into every layer.

Real-World Use Cases of Cloud Analytics and Big Data

Our solutions don't exist only in slides — they drive actual businesses. Discover how Ellocent addresses complexity with scalable, pragmatic outcomes in diverse industries

Platform: AWS Glue + Athena + Redshift + S3 + CloudWatch
Overview: Built pipelines to collect, process, and analyze big data. Made it easy for teams to get insights.
How We Use:
  • Built ETL jobs with AWS Glue to clean and format data.
  • Stored raw and clean data in S3.
  • Used Athena for serverless SQL queries on S3.
  • Set up Redshift for fast dashboards.
  • Monitored jobs with CloudWatch and alerts.
    Impact:
  • Real-time insights at low cost.
  • 60% faster ETL jobs with tuning.
  • Teams made quicker decisions with access to clean data.

Hire Us

Choosing the right team can make all the difference. We pride ourselves on delivering high-quality work, clear communication, and results you can rely on. No matter the challenge, we’re here to bring your ideas to life with precision and passion

Tools & Tech Stack We Use

Cloud Platforms

Amazon Web Services

Amazon Web Services

Microsoft Azure

Microsoft Azure

Google Cloud Platform

Google Cloud Platform

Data Lakes & Warehouses

Amazon Redshift

Amazon Redshift

Google BigQuery

Google BigQuery

Snowflake

Snowflake

Amazon S3 

Amazon S3 

Google Cloud Storage

Google Cloud Storage

Data Pipelines

Apache Airflow

Apache Airflow

AWS Glue

AWS Glue

Fivetran

Fivetran

Airbyte

Airbyte

dbt

dbt

Talend

Talend

Visualization & BI

Looker

Looker

Power BI

Power BI

Tableau

Tableau

Google Data Studio

Google Data Studio

Metabase

Metabase

Streaming & Real-Time

Apache Kafka

Apache Kafka

AWS Kinesis

AWS Kinesis

GCP Pub

GCP Pub

Flink 

Flink 

Apache Beam

Apache Beam

ML & Forecasting

AWS SageMaker

AWS SageMaker

Google Vertex AI

Google Vertex AI

Azure ML Studio

Azure ML Studio

BigML

BigML

Prophet

Prophet

PyCaret

PyCaret

Frequently Asked Questions

Lakes store raw, unstructured data. Warehouses store cleaned, structured data for querying. We build both depending on need.

Schedule a 15-Minutes call

Let’s make things happen and take the first step toward success!

Schedule Free Meeting

Got Ideas? We’ve Got The Skills.
Let’s Team Up!

What Happens Next?

1

We review your request, contact you, and sign an NDA for confidentiality.

2

We analyze your needs and create a project proposal with scope, team, time, and cost details. 

3

We schedule a meeting to discuss the offer and finalize the details.

4

The contract is signed, and we start working on your project immediately.

Talk to Our Experts