Data engineering services and solutions

Q: What does your ETL framework do?

We build custom ETL frameworks that can extract data from your disparate sources, and transform them, meaning converting them into a suitable format by applying schema. Post this, the data is loaded into a staging environment from where is moved to the destination, a warehouse, a lake, or a lakehouse. This is customized with the addition or removal of various technologies to cater to your unique needs and operational objectives.

Q: Can I analyze real-time data from my systems?

Yes. You can analyze your real-time data as soon as it comes into your system. We build data architecture for both batch and stream processing. We can set up a modern architecture for you where the streaming data can appear in your system with the lowest latency possible.

Q: Which one is suitable for my business - data lake or data warehouse?

It’s your business and analytics requirements that decide which is suitable. Data warehouses are for storing structured data to support business decisions through analytics and BI. Data lakes, on the other hand, are for storing unformatted data whose purpose isn’t decided yet. Another emerging trend is the data lakehouse which comes with the best of both worlds lakes and warehouses to meet dynamic storage and analytics needs.

Q: What does the future of data engineering look like?

With the emergence of real-time data processing, scalable cloud computing, data lakehouses, and data mesh, the future looks very bright for data engineering. Small businesses will accelerate their cloud dependency while enterprises shift towards a hybrid and well-designed data infrastructure. Data engineering would rather become a team sport with business leaders, data engineers, and data scientists working together to make data the end product.

Q: Can you help me migrate to a cloud environment from an on-premise setup?

Yes. We have helped plenty of organizations with cloud repartitions projects too—moving their data from a cloud to an on-premise setup. This includes doing a partial, full, or hybrid cloud reverse migration without any data loss or business interruptions.

Design the data infrastructure you need to go from raw data to advanced analytics. Organize your data with scalable storage and custom pipelines. Become future-ready with our customized data engineering services.

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A solid data foundation for clever analytics and intelligence

With each process, your data gains new life form

Data discovery

Discovery is all about mapping data sources, understanding correlations, and drawing conclusions on insights to be measured. It holds importance as it helps you unveil how your data can drive business value through the right decision analytics.

Our team of engineers can get this rolling for you with extensive documentation that’s made, keeping your data roadmap in consideration.

Data architecture

Data architecture is a framework for managing data across your business ecosystem. We envision your ideal data architecture here step-by-step - from how the data gets ingested to where it gets loaded or transformed.

Modern data architectures are more accommodating. They make the unthinkable happen like leveraging cloud storage, processing streaming data, employing flexible schemas, and much more. All to establish a flexible foundation for data-led innovation.

Data modeling

Data modeling is your reference point to see how your data architecture is designed—how data is collected, stored, and wired in a data warehouse, conceptually, physically, and logically.

We build you effective data models so your analysts, developers, and other stakeholders understand your data relationships. Get yours built today and skyrocket your database performance, accessibility, and consistency.

Data profiling

Not every ounce of data holds value. There are duplications, null values, and many other anomalies that can mess with your analytics. This calls for data profiling where your data sources and metadata are sifted through to determine your data quality.

Data profiling is paramount if you want standardized data with zero misformats that dishes out precise insights to make accurate decisions.

Data pipeline

Take any data architecture, the data moves from source to destination—where value extraction and analysis happen. Nevertheless, this ingested data cannot be transferred as it is. Be it BI or data science, processes like filtering, cleansing, and standardization are necessary.

Pipelines bridge this, allowing extraction, loading, and transformation to happen. But not all pipelines look the same. Help us help you build your unique pipeline that suits your end goals.

Data lakehouse

Meet the storage superpower of the cloud era - the lakehouse with the best attributes of a data warehouse and data lakes. Lakehouses promise scalability at lower costs while allowing you to store raw, unformatted data. This means you can extract, transform, and load all kinds of data. And also amplify your machine learning and analytics outcomes altogether.

Besides, SMEs and enterprises are more hungry for insights and advanced ML, making lakehouses very in demand. Time for you to upgrade to a versatile, low-cost, and scalable storage database with a data lakehouse.

Data warehouse modernization

Everyone wants automated, fast, and real-time insights now. Do the traditional on-premise systems and data warehouses support this? Unfortunately, no. But we have modern data warehouses, putting an end to endless complaints about data reliability and accessibility.

They are easy to build, cost less, and connect multiple data sources. It also brings in self-servicing dashboards - a step that brings decision-makers together in the data-driven journey.

Data governance

Becoming data-driven also comes with certain responsibilities - complying with data governance and regulatory measures. Right data management practices have to be brought to the desk while utilizing the value of your data asset.

Long story short, you should have visibility over your data, who holds access to it, how they put it to use, and much more. Unlock your ideal data governance model with us. We classify your data based on its sensitivity and share with you the metadata to enhance your security and access control.

Put your data to work today

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OUR PROCESS

Single-source-of-truth, built your way

Data discovery

You begin the journey with us briefing your data challenges. We begin to analyze your current data landscape, your business goals, and tech requirements. We study everything including where your data comes from, what must be collected, what its format, and so on.

Data modeling

We design your conceptual, physical, and logical data models based on the collective inputs from your end.

Data pipelines

We start building the pipelines at this stage to transform the datasets from your existing source to a destination, a data lake or a lakehouse.

Data transformation

The extracted and loaded data is ready for the transformation now. The end outcome is clean, transformed, and or structured data needed to synthesize analytics or fuel data science initiatives.

Access granting

The data stack will be tested with sample data. Post that is the deployment stage where we will grant you the required access to the new infrastructure. From here, the door is wide open for you with countless possibilities.

Data discovery

Data modeling

Data pipelines

Data transformation

Access granting

BENEFITS

Your first step towards last-mile adoption

Data available, whenever and wherever you need

Data must be accessible for the right people at the right time - if you’re data-driven. Data engineering is the key to making real-time and right-time analysis happen.

Single source of truth

Your entire data including the ones about to be generated stay in one place - cleaned up, standardized, and de-siloed.

Intended for scaling companies

The modern data engineering platforms come with scalable infrastructure. They can take in as much data as it comes and still run like a well-oiled machine.

Decision-making simplified

No more latencies. You can rather have fresh insights dug out of real-time data processing. All of this assures that you make the most informed decisions on time.

Reduced IT expenses

Optimized data engineering practices save you tons of cost, time, and resources. Cumbersome tasks get automated, regulatory compliance is auto-checked, and data management capabilities are amplified. A clear win for you.

CUSTOMER SPOTLIGHT

Success stories from businesses like you

Retailers cut down ‘out-of-stock’ using lost sales forecasting

Predicting bestsellers and minimizing lost sales opportunities using ML sales forecasting.

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Reducing manual workload with AI for RCM company

Payment processing agents save 10+ hours of work every day with AI-powered automated insurance validation process

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CLIENT VOICES

Take our customers word for it

I just wanted to say a big thank you for all the support you've given us. Your expertise in Data and Analytics is really helping us make better data-driven decisions. The way you're assisting us with MS Fabric is fantastic, and we're excited about gradually migrating to it to boost collaboration across our organization.

Fisayo Oduyemi

IT Business Analyst, Saluda Medical

The team at datakulture are inspiring to work with. Their drive for excellence and the values they share from the top down are impressive. The result is top quality work and a partner you are proud to work with.

Liran Lahav

COO, Q Report

We were really impressed with their service orientation and understanding of our business. Showcasing expertise in data engineering, datakulture was successful in implementing the dashboard, allowing the client to track their KPIs and make data-driven decisions. The team's solid understanding of the client's business and their needs was critical to the project's success.

Biswajit Rath

Head of Analytics, Raymond Limited.

They were flexible and adaptive to the client's changing requirements. The team executed a smooth workflow to ensure the project's success. Their flexibility and adaptiveness were notable in the partnership.