Data solutions for all your business needs

Big Data Engineering Services

We establish a strong data and analytics foundation with the goal of accelerating AI adoption throughout the business value chain.

Big Data Engineering Services We Offer

Data Warehouse

Pull data from internal & 3rd party application to create a Data Warehouse. Allocate the information assembled through these data warehouses for tuning several strategies incl. customer analysis, sales, marketing or operations.

Data Pipelines

Ingest raw data from multiple sources via a push mechanism, synchronized at real-time or scheduled intervals. We make your data accessible for numerous parties so they can utilize it to assess and optimize the overall performance.

Data Platform

Meet the overall end-to-end data needs of your business through the creation of data platforms. Expand large-scale data systems to extend support to evolving and existing data models, analytical products, and multi-source data analysis.

Data Visualization

Transform data into interactive graphics/ visualizations for tracking objectives and outcomes, recognizing opportunities, forecasting demand, and more with real-time monitoring, improved product delivery, and data-driven insights.

Why Big Data Engineering Services?

Big-data engineering is a complex step in the data journey that focuses on making raw data available to analysts for optimizing business processes. It takes the expertise of seasoned professionals to maintain data that is available and usable for the analysts to carry out their operations in an analytical way to maintain their output. It would be difficult to make sense of the massive amounts of data available to businesses without the data engineering step.

The process

We utilize all forms of data across the business ecosystem

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Client Success
Our Big Data Engineering Case Studies

Algoscale developed & scaled an end-to-end data pipeline using Apache Nifi and also, utilizing a variety of technologies such as Kafka, Akka, Postgres, Elasticsearch, and others.

Built data pipelines using Python & Apache Airflow. This data was pushed into the AWS Redshift for further analysis and visualization with a custom-built application in a multi-tenant environment.

Algoscale created a data warehouse deployed on AWS Amazon Redshift cluster. Our experts used Redshift Serverless to run & scale analytics without the need to provision or manage.

3Vs of Big Data

Every business, big or small, is managing a considerable amount of data generated through its various data points and business processes.Dubbed the three Vs; volume, velocity, and variety, these are key to understanding how we can measure big data and just how very different ‘big data’ is to old fashioned data.
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Why Algoscale?

Algoscale is a premier data engineering service provider. Our data engineering services and solutions provide organized, standard data flow powering data-driven models and decisions for your business. We help companies get accurate consolidation, management, protection, and understanding of their business-aligned data with our big data analytics services. Our outcome approach improves core competencies and creates a business-relevant analysis that can be used with technology architecture and capabilities.

Outcome-Driven Capabilities

Unlike tech-driven companies, Algoscale’s data engineering practise is outcome-driven, concentrating on solid data model foundations with data elements and entities that give business value beyond defined use cases.

Reduced Time-To-Insights

Using our innovative suite of accelerators, Algoscale’s data engineering consulting reduces time-to-value by 30% compared to traditional consulting and technology service firms.

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Open Source Technology

Our data engineering team utilizes open-source technology as it provides accurate real-time analysis on a large volume of data while saving money on data storage and allowing users from many fields to collaborate efficiently.

Your Data is in the right hands

For a quality-conscious delivery, the highest priority is placed on customer satisfaction. At Algoscale, we help organizations articulate and create evidence of success by increasing ROI on their big data investments. We’ve mastered the 3Vs of Big Data – Volume, Velocity, and Variety, to build on our clients’ initial business capacity, optimize cost, and internalize (and normalize) the use of Big Data.
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Unleash New Capabilities

Building on our cutting-edge big data technology, we are revolutionizing the way enterprises process huge quantities of data (both real-time and batch data) and turn it to strategize their business. Develop pipelines that transform and transport data into a format usable for further analysis. Sketch pipelines that combine datasets from many diverse sources to assemble them uniformly into a single source of output.

Analyze and respond to events in real-time

Yield influential actionable insights with real-time analytics to enable organizations to act with confidence and simplify the process of making complex decisions. Streamline complex procedures such as managing routine operations in IT systems and network monitoring, manufacturing, and processing financial transactions.
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Technologies

Our experts collaborate with high-end technologies and architectures to provide unique solutions to our clients. Some of the technologies we work with

Languages

JAVASCRIPT FRAMEWORKS

SQL

NOSQL

AWS

AZURE

GOOGLE CLOUD PLATFORM
Data Science
Recommendation Engines
AI-ML Development
Text Analytics
Computer Vision
CONTAINERIZATION
AUTOMATION
CI/CD TOOLS
MONITORING

Traditional 3-layer architecture

Microservices-based architecture

Cloud-native architecture

Progressive Web Apps (PWA)

Reactive architecture

Service-oriented architecture (SOA)

learn more about Big data engineering

Case Studies

Discover our latest data engineering case studies

Blogs

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Learn how Algoscale can help solve your most challenging data engineering challenges.