Data Engineering Services

Providing complete assistance to our clients with data engineering services. From raw data to actionable information using Data Lakes, Delta Tables, Streaming applications, Data Warehouses, and DataOps.

Business benefits

Data Engineering Services

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How We Support Clients in Data Engineering?

Our Data Engineering practice specializes in designing and constructing robust systems for data ingestion, collection, storage, and analysis. This discipline is crucial across virtually all industries, underpinning many facets of data science.

Our Data Engineers facilitate seamless access to data, performing sophisticated analyses on raw data to develop advanced Data Pipelines and Data Platforms. In the absence of advanced data engineering, making sense of the vast quantities of data available to organizations would be exceedingly challenging. By leveraging cutting-edge technologies and methodologies, we ensure that data is not only Accessible but also Actionable, empowering companies to make informed decisions and maintain a competitive edge in their respective markets.

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Who are our Data Engineering consultants?

Data engineers possess expertise in a variety of programming languages essential to data platform development. They are responsible for constructing data pipelines that facilitate the seamless transfer of data between different systems. Additionally, they handle the transformation of data from one format to another, enabling data scientists to access and analyze data from diverse sources efficiently.

By building and maintaining these pipelines, data engineers ensure that data is:

consistently available,
properly formatted,
and ready for complex analytical processes.

Their work is crucial for integrating disparate data systems, thereby supporting comprehensive data analysis and fostering data-driven decision-making across organizations.

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What are Data Engineering Services?

Ai-Logix Data Engineering services are designed to elevate your business to the next level in data usage, management, and automation. With our advanced automated data pipelines, you can focus on extracting valuable insights without the hassle of manual data handling.

Our expert team supports global enterprises, in developing sophisticated data processing pipelines.
We collaborate with our clients to extract critical business information, manage data efficiently, and ensure the highest standards of data quality and availability.

Our strategic project approach and comprehensive data engineering services empower companies to make informed decisions.

Explore our suite of data-related services (case studies) and discover how Ai-Logix solutions can transform your business.

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Our Data Engineering development process

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Understanding business needs and technical requirements

Ai-Logix is an experienced Data Engineering company. We help companies all over the world make the most of the data they process every day.

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.

Let’s discuss a data engineering solution for your business!

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Building and implementing a Data Lake

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.

Data Lakes could be established or accessed using specific tools such as Hadoop, S3, GCS, or Azure Data Lake on-premises or in the cloud.

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Identify Use Cases

Discover high-value, transformative use cases where Generative AI applications can deliver maximum benefits and ROI.
Prioritize use cases based on strategic impact, feasibility, costs, risks, and alignment with goals.
Engage end-users and subject matter experts to validate and refine identified use cases.

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Industry expertise

Your industry isn't here? That’s not a problem!

Manufacturing
Retail

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Product Traceability System for a big manufacturing company

We helped one of our client a big electronic manufacturing company to build a complex Data Lake system based on AWS for Product Traceability.

Ai-Logix Data Architects and data engineering experts have designed and implemented an end-to-end scalable system for fast analytical reporting and data storage.

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Customer Data Platform implementation

Ai-Logix team has supported the Customer Support team with their data lake and analytics journey.

Our data engineering team has created a tailor-made data transformation layer for both structured data and Digital Marketing data sources, combined together in a single and unified cloud data warehouse.

Key benefits

Wherever you are, we can offer a complete, end-to-end data engineering solution

Modern Data Pipelines

Designing, constructing, and implementing end-to-end automated data pipelines of production quality. The Addepto data engineering consulting team has strong experience in the implementation of automated data pipelines, both on-premises and in the cloud.

Data Preparation and ETL/ELT

Data preparation, processing, and ETL/ELT (extract, transform (load), load (transform)) help in the processing, transformation, and loading of data into the required data model for business reporting and advanced analytics. Our Data Engineering team has developed such pipelines for many business departments such as Finance, Sales, Supply Chain, and others.

Data Lake Implementation

Data Lakes are the most powerful and creative option for cost-effective data storage and quick processing. Adoption of Data Lakes in your company may support you in expanding the business data architecture. Ai-Logix has used Data Lake solutions to solve a variety of client business challenges such as Product Traceability, Customer Data Platforms, IoT data reporting, and others.

Cloud Data Architecture

Today, it is essential to build and design flexible and highly accessible business data architectures. Our Data Architects can help your business get to the next level in terms of data analytics foundation by combining experience from several large enterprises. Try our Big Data Engineering Services!

Data Engineering FAQ

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How big tech companies use data engineering?

Many e-commerce giants use the power of data to create value for their businesses. Specific data allows you to attract potential customers and thereby significantly increase business profits.

Amazon personalizes every interaction by using a large amount of client data.

Data is being used by the company to optimize pricing, advertising, the supply chain, and even to decrease fraud.

Nordstrom’s data engineers have developed a system for monitoring customer habits and behavior using Wi-Fi.

The data obtained allowed the company to study the purchasing trends of its customers, which resulted in the optimization of personalized data and overall improved customer service.

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What is the difference between Data Engineering and Data Science?

Data science is an interdisciplinary field that uses methods and techniques from statistics, applied science, and computer science to analyze organized and unstructured data to provide useful insights and information.

Data engineering is responsible for creating a pipeline or procedure to transport data from one instance to another.

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How will artificial intelligence change the future?

Intelligent Process Automation

A new emerging trend that will be a game-changer in the future is IPA (Intelligent Process Automation). What is this?

IPA is a technology for automating business processes that enables the automation of individual tasks using artificial intelligence. This solution is a similar, more advanced version of RPA (Robotic Process Automation).

Essentially, IPA will enable us to use more machine learning algorithms to sort data and implement AI technology to recognize valuable information. So IPA is definitely a topic that we will hear more about in the future.

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What are various commercial applications of artificial intelligence?

AI-driven prediction and decision making

Given the economic situation that has changed so rapidly in the world as a result of the pandemic, entrepreneurs will be even more interested in AI-based forecasts and decision-making.

It is safe to expect that the main areas that will particularly benefit from AI-driven business forecasting are sales departments, medical diagnostic applications, inventory optimization, and demand and workforce planning.

With AI-driven tools, businesses can make effective decisions based on accurate, data-driven information. Entrepreneurs can better identify business opportunities and understand customer needs and behavioral patterns.

AI-powered chatbots

Chatbots are already a technologically advanced solution that most of us use or at least notice every day. Conversational AI (in other words, AI-based chatbots) will take the next step in the nearest future.

What are the main advantages of AI chatbots? In short:

personalized customer experience,
better range,
increased responsiveness,
significant improvement in the automation of customer service.

Conversational AI uses machine learning and NLP (Natural Language Processing) to:

Understand what we (humans) are saying.
Give us the support we need to communicate on a human level that feels almost natural.

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Which data is used by artificial intelligence and what databases I can connect?

AI technology uses both structured and unstructured data. Artificial Intelligence database is a combination of data warehousing, advanced analytics, and visualizations in an in-memory database.

AI databases have incredible abilities, they can ingest, explore, analyze, and visualize fast-moving, complex data at the same time within milliseconds. Connecting particular databases depends on particular situations – for more information contact an AI consultant.

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