Big Data Solutions

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Architect Scalable Systems to Process, Analyze, and Store Massive Datasets for Comprehensive Insights.

Big Data Solutions

What Are Big Data Solutions and Why They Matter ?

Big Data can be defined as datasets that are too big or too complicated for conventional data-processing systems. Big Data sources are characterized in terms of their high volume (TBs or PBs), high velocity (real-time streaming), and high variety (text, video, logs, transactions, sensor data, etc.).
Without the right infrastructure, most of this data becomes noise. At Ellocent, we build cloud-native pipelines and architectures that let you collect, store, process, and analyze big data efficiently — so you can extract real business value in real time.

What We Offer in Big Data Solutions

Background

Benefits of Big Data Solutions

Real-Time Visibility Into Your Business

Real-Time Visibility Into Your Business

Get live access to metrics and events happening across all departments.

Process Billions of Records in Minutes

Process Billions of Records in Minutes

Leverage distributed computing to process massive datasets with low latency.

Combine Disparate Data Sources

Combine Disparate Data Sources

Merge sales, product, customer, sensor, and CRM data into unified insights.

Detect Patterns Across High-Volume Streams

Detect Patterns Across High-Volume Streams

Spot trends, behaviors, and anomalies that are invisible to traditional BI tools.

Improve Decision-Making With Complete Context

Improve Decision-Making With Complete Context

Make faster and more accurate decisions powered by historical and real-time data.

Scalable & Cost-Efficient Infrastructure

Scalable & Cost-Efficient Infrastructure

Run on AWS, Azure, or GCP with optimized resource usage and pay-as-you-go models.

Real-World Use Cases of Big Data Solutions

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

Big Data Frameworks

Apache Hadoop

Apache Hadoop

Apache Spark

Apache Spark

Apache Flink

Apache Flink

Kafka

Kafka

Cloud & Storage Platforms

AWS S3

AWS S3

Google Cloud Storage

Google Cloud Storage

Azure Data Lake

Azure Data Lake

Snowflake

Snowflake

Delta Lake

Delta Lake

Databricks

Databricks

Data Ingestion & Pipelines

Apache NiFi

Apache NiFi

Airbyte

Airbyte

AWS Kinesis

AWS Kinesis

Google Dataflow

Google Dataflow

Logstash

Logstash

Databases & Warehousing

BigQuery

BigQuery

Amazon Redshift

Amazon Redshift

Azure Synapse

Azure Synapse

PostgreSQL

PostgreSQL

MongoDB

MongoDB

Visualization & BI Tools

Power BI

Power BI

Tableau

Tableau

Looker

Looker

Superset

Superset

Metabase

Metabase

Languages & APIs

Power BI

Power BI

Scala

Scala

SQL

SQL

REST APIs

REST APIs

Webhooks

Webhooks

Frequently Asked Questions

Big Data refers to extremely large datasets that cannot be processed efficiently with traditional tools due to their volume, variety, and velocity. It typically includes structured, semi-structured, and unstructured data from sources like sensors, transactions, logs, social media, and IoT devices.

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.

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