Advanced Data Engineering Solutions

Data Engineering

We assist your company in moving to the next level of data utilization, management, and automation by transforming the way you look at your data.

Streaming Applications

Big Data Processing

Data Integration

Data Visualization

Statistical Data Analysis

Reporting Automation

We guide you through the entire process, working closely with your company, its challenges, strategy, and any concerns you may have. We can provide a complete end-to-end solution wherever you are. Here are some of the ways it can benefit your business.

Data preparation, processing, and ETL aid in the transformation and loading of data into the required data model for business reporting and advanced analytics.

Our Data Engineering team has created such pipelines for a variety of industries.

Data Lakes are the most powerful and innovative solution for cost-effective data storage and fast processing. Adoption of Data Lakes in your organization can help you expand your corporate data architecture.

Data Lake solutions have been used by CodeFulcrum to handle a number of client business difficulties, including product traceability, customer data platforms, IoT data reporting, and others.

Designing, building, and executing high-quality end-to-end automated data pipelines.

The data engineering team at CodeFulcrum has extensive expertise implementing automated data pipelines in the cloud.

Building and designing adaptable and highly accessible company data architectures is critical today.

By combining experience working with several SMEs and Enterprises, our Data Architects can help your company go to the next level in terms of data analytics foundation.

Check out how we help businesses all over the world make the most of their data

Understanding business needs and technical requirements

Firstly, our data engineering team carries out the workshops and discovery calls with potential end-users. Then, we get all the necessary information from the technical departments.

Analysis of existing and future data sources

At this stage, it is essential to go through current data sources to maximize the value of data. You should identify multiple data sources from which structured and unstructured data may be collected. During this step, our experts will prioritize and assess them.

Building and implementing Data Lake and Pipelines

Data Lakes are the most cost-effective alternatives for storing data. A data lake is a data repository system that stores raw and processed structured and unstructured data files. A system like stores flat, source, transformed, or raw files.

Automation and deployment

The next step is one of the most important parts in data development consulting – DevOps. Our team develops the right DevOps strategy to deploy and automate the data pipeline.

Testing

Testing, measuring, and learning — are important at the last stage of the Data Engineering Process. DevOps automation is vital at this moment. Data Lakes could be established or accessed, using specific tools such as Hadoop or s3.

Our team is a collaborative unit of data scientists, engineers, and analysts with a diverse skill set. We work closely with other teams to provide a holistic approach to solving problems, including the technical challenges of data engineering.

High Quality

We collaborate with our clients to extract critical business information, manage data, and assure the highest degree of data quality and availability.

Business Insights

We help companies make better decisions with important insights from our product strategy and data engineering experts.

Increased Efficiency

We implement solutions that can save you thousands of dollars in operational expenditures.

Start In 1 Week

We can assign experts to your project in as little as one week.

Energy Saving Platform

Automotive Inventory Management Platform

Experiential Events & Fleet Management Platform

Shipment Management

Energy Saving Platform

Automotive Inventory Management Platform

Experiential Events & Fleet Management Platform

Shipment Management

Energy Saving Platform

Automotive Inventory Management Platform

Experiential Events & Fleet Management Platform

Shipment Management

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Product Strategy

We work with you to design a strategy that will deliver the right product with the right features to your target market so you can grow and scale your business.

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Custom Software Development

Create successful strategies, launch exceptional digital products, gain more users, and meet your long-term objectives.

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Product Design

We transform your ideas into great products by understanding the problem you are trying to solve and designing an elegant solution that is simple, usable and beautiful.

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FAQ'S

To establish a genuinely effective analytics program, companies must intentionally invest in developing their data engineering expertise. This includes building a solid basis for data management-identifying gaps and quality concerns—while improving data collection. Companies that actively invest in engineering professionals will get the most out of data in the coming years.

We are surrounded by data. This resource may be used for a variety of purposes, including customer service, market research, and, of course, sales. Developing sophisticated data systems for businesses is quickly becoming necessary. You should hire data engineering consulting experts to organize your system and use the data to improve your business performance.

Data engineers are responsible for the design, development, and maintenance of the data platform, which includes the data infrastructure, data processing applications, data storage, and data pipelines. In a large company, data engineers are usually divided into teams that focus on different parts of the data platform: Data warehouse & pipelines, Data infrastructure, Data applications.

The following four areas were highlighted as technological shifts in data engineering of the future: