Data
Engineering

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Data Engineering
Data Engineering Company

Turn Raw Data into Valuable Insights

From small businesses to giant enterprises, companies now have access to terabytes of customer data.

Getting value from all that data takes artificial intelligence, machine learning, and other advanced tools and techniques to crunch those heavy loads.

That’s where we come in. We build tailor-made data warehouses, data lakehouses, and powerful data engineering platforms to turn your data into practical business value.

Our Data Engineering Services

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Big Data Implementation Company

Big Data
Implementation

We help you access, move, and analyze your data to deliver deeper insights and actionable results. We work closely with you to design and build data pipelines that leverage and extend your current capabilities or build new IT infrastructure. This includes:

  • Data cleansing, data analysis, flow of data, data storage

  • Enable data analysis to turn data into insights

  • Refactoring of data processing to fit with evolving frameworks

  • Creation of business intelligence dashboards

Product Development Company

Product Development

Now that you have your data stored and available, you need a platform on top of it that allows the data to be used operationally. We build end-to-end products for companies needing to leverage advanced data analytics technologies. This includes:

  • Development of automated data collection from source systems (e.g., Salesforce, Zuora, Netsuite and Procore) into “Machine” layer

  • Creation of data pipelines customized to your business needs

  • Iterative development of data platform components

Custom Software Application Development Company

Custom Applications

We help you make sense of your data by developing custom applications, proofs of concept, and demonstrations that showcase the power of Big Data in your own environment.

Software Development Consulting Company

Consulting

Our consultants help ensure your long-term business success through strategic planning. We analyze your business goals, IT infrastructure, and technical staff’s readiness. We then deliver vendor-agnostic recommendations and solutions that fit your budget.

Custom Software Development Company

How We Work

From project kickoff to product launch, we keep you in the loop. We start by discussing our discovery process philosophy and working with you to build the data models.

As part of this process, we define the project’s guiding principles and deliver a high-level technical design of your custom data platform.

We present our work for review every two weeks and establish regular stand-ups at a cadence that fits your schedule and needs.

To ensure quality, we perform continuous testing and integration until the product launch.

Get outstanding quality and rapid results from a partner you’ll enjoy working with - Taazaa.

Frequently Asked Questions

Why do I need data engineering consulting and related services?
Taazaa’s data engineering services offer expertise, efficiency, cost-effectiveness, and innovation to help you establish robust and scalable data infrastructure, enabling your business to make informed decisions and gain a competitive edge in the data-driven landscape.
What is the difference between Data Engineering and Data Science?
While data engineering and data science have distinct roles, they are interdependent. Data engineers create the infrastructure and pipelines that data scientists rely on to access and analyze data. Clean, well-structured data is essential for accurate and meaningful analysis. Data engineers ensure that data is available, reliable, and properly formatted for data scientists to work with effectively.
What is Big Data?
Big Data refers to the vast and complex volumes of data rapidly generated from various sources, such as sensors, social media, mobile devices, websites, and more. These data sets are characterized by their size, speed of generation, and diversity. The term “Big Data” doesn’t just refer to the sheer volume of data but also encompasses the challenges and opportunities that arise from working with such data.
Why is data engineering so important?
Data engineering is essential for turning raw data into valuable assets that drive business growth, innovation, and informed decision-making. It ensures that a business’s data is available, reliable, and properly formatted for analysis and reporting. Without effective data engineering, the potential of data to provide insights and create value is greatly diminished.
What does a data engineer do?
A data engineer is responsible for designing, building, and maintaining the data infrastructure, pipelines, and systems that enable an organization to collect, store, process, and transform data into a usable format for analysis and business purposes. Their role bridges the gap between raw data and actionable insights. Data engineers play a critical role in ensuring an organization’s data is organized, accessible, and prepared for analysis, providing the foundation for data-driven decision-making and business success.