What are Data Engineering Services and why are they important for enterprises?

Organizations use data engineering services to collect, integrate, and transform data into formats that can be used for analytics. A reliable data engineering service provides organizations with three essential components that enable them to build AI systems and advanced analytical capabilities. Tredence is one of the data engineering services companies that builds this foundation for enterprises migrating from legacy systems to modern cloud platforms.

What challenges do companies face in building and scaling data pipelines?

Building and scaling data pipelines can leave companies facing a myriad of challenges. They struggle with legacy infrastructure, limited pipeline visibility, siloed systems, and so much more. As an enterprise AI leader, you’ll need expert data engineering consulting services that can scale data workflows to become more efficient. Leading data engineering consulting companies play a major role here in helping you modernize architectures, automating data pipelines, and enabling cloud-native processing.

How do data engineering services enable AI and analytics initiatives?

The success of AI initiatives depends on clean structured data which data engineering services provide. A skilled data engineering company not only improves data access but also optimizes pipelines that accelerate AI deployment. Data engineering consulting services help your organization achieve two goals through their work: Scalability and long-term sustainability.

What is the typical process followed in a data engineering project?

A data engineering project usually includes a multi-step framework that starts from assessing your current systems, designing scalable data models, building ingestion pipelines, and implementing strong governance. You get the benefit of this framework by partnering with reliable data engineering service providers that also help you align your AI solutions with evolving business goals.

Why should organizations work with a Data Engineering Consulting Company?

As an enterprise AI leader, it is highly recommended that you work with a proficient data engineering consulting company, as they offer deep expertise in scalable, AI-ready architectures. Unlike traditional IT vendors, data engineering consulting companies apply some of the best governance and cloud practices. Partnerships with these firms also help you reduce risks and build resilient data ecosystems.

Data Engineering Services | Data Engineering Solutions Provider

Empowering businesses with cutting-edge data engineering and AI-driven solutions to accelerate growth

CxOs want to develop transformative data strategies that drive significant business growth by increasing automation and data-driven decision-making.

Tredence provides data engineering advisory services, architectural review boards, accelerator-led solutions, and centers of excellence to standardize and expedite data transformations. We help enterprises build scalable, future-proof platforms that meet current needs and evolve as business requirements grow. Through optimized data solutions, we empower leaders to streamline operations, reduce costs, and improve overall productivity, creating a foundation for long-term success. Tredence is one of the data engineering solutions providers enterprises engage when the advisory work and the platform build need to sit inside a single accountable team.

Data engineering advisory

Work with Tredence to develop a future-proof data platform strategy. We partner with you to develop a data migration and modernization strategy, perform a maturity assessment of your customer data platform, and craft a roadmap to evolve critical capabilities. This advisory work is the starting point of Tredence's data engineering consulting services, completed before any migration or platform build begins.

Data Platform

We design and implement enterprise-grade data platforms with structured data lakes, high-performance pipelines, and migration frameworks. Leveraging accelerators, we modernize platforms at scale, reducing deployment timelines by over 50%.

Data Governance

Tredence delivers a comprehensive Platform and Data Governance strategy built on the pillars of people, process, and technology. Our core capabilities span governance organization setup, data cataloging, quality management, master data, and access control, empowering enterprises with trusted and compliant data. Governance work at this scope, spanning organization design through access control, is the mandate Tredence takes on as one of the leading data engineering consulting companies building governance programs from the ground up.

Insights & Consumption

At Tredence, we help enterprises unlock the full potential of their data through cutting-edge visualization and analytics solutions. From delivering real-time insights to enabling data collaboration through exchange and clean room capabilities, we transform the way businesses experience and act on data.

Managed Services

Tredence acts as a trusted partner in managing your data and analytics ecosystem. From platform administration and performance tuning to governance, security, and continuous enhancement, our managed services ensure your data strategy evolves seamlessly with business needs.

Centers of Excellence

Tredence offers access to Amazon Web Services, Google Cloud Platform, Microsoft Azure, Databricks, and Snowflake centers of excellence (CoEs) with data engineering talent certified in their technologies and processes.
With our partners, we accelerate our joint customers’ cloud and data migrations, develop industry solutions using our GenAI driven pre-built accelerators, and work with them to scale capabilities across business functions and enterprise-wide.

Modernize and monetize data with Tredence solutions

Tredence offers accelerator-led solutions to manage and optimize the end-to-end data lifecycle. Modernize data in scalable cloud infrastructure and empower teams with curated data sets to make decisions and innovate.

Improve trust in data with observability and management and maintenance services focused on improving availability, quality, and cost.

Deploy advanced technology like secure data exchange and clean rooms to enable data sharing, unlocking greater monetization opportunities.

Migrate to modernize

Migrate data from legacy on-premises and cloud platforms to modern cloud platforms. Convert, discover, and ingest data from diverse sources with Tredence accelerators. Create scalable data processes, enabling real-time data streamlining, advanced analytics, and the curation of data sets at different quality levels for team exploration and decision-making. These seven accelerators are the toolkit Tredence built specifically for migration work, which is why Tredence is counted among the data engineering solutions firms enterprises rely on for repeatable, large-scale migrations.

T-Ingestor: Automates data ingestion, improving quality, reducing cost of ownership, and accelerating time to insights.
T-Converter: AI-powered framework leverages parsing and optimization to migrate legacy code to Google Cloud-native services efficiently and accurately.
T-Discoverer: Enables fast, accurate enterprise assessment and inventory rationalization to better plan modernization journey.
T-Code Builder: Uses Source to target mapping to build code in target technology using Gen AI
T-Modeler: AI-driven solution creates industry-specific data models for faster, more meaningful business insights.
T-Validator: Validates data between source and target and highlight discrepancies
T-Observer: Gen AI based Pipeline Observability solution to enable get deep insights into Pipeline runs and RCA

Customer data platforms

Build a customer data platform (CDP) that enables you to integrate first- and third-party data. Create a holistic view of your customers, capitalizing on richer insights to develop targeted offers.
Leverage Tredence accelerators to ingest batch and stream data, improve its quality, build AI and ML models and detect anomalies, and model data, creating analytics on more of your data holdings.

Business intelligence modernization

Migrate legacy business intelligence (BI) stacks to modern platforms, rationalize reports, implement modern BI solutions, and enable self-service capabilities. Use Tredence accelerators to convert, discover, model, and generate curated data sets and scale data processes.

Platform operations

Enable end-to-end platform operations, including observability, monitoring, maintenance, and cost optimization. Migrate your legacy on-premises and cloud platforms to modern, scalable solutions with Tredence accelerators that improve data observability and cloud costs. Migrating your legacy platforms is only half the job. Tredence carries that same operating model into ongoing platform operations, the reason enterprises count Tredence among the data engineering consulting firms they retain well past the original migration.

Data exchanges and clean rooms

Enable safe, secure sharing and enrichment of encrypted data in clean rooms. Share data compliantly with partners, vendors, customers, and other parties, using insights to improve operations and unlock new monetization opportunities. Tredence built this capability as one of the data engineering solutions providers enterprises trust to handle sensitive data exchange without compromising compliance.

Data governance

With Tredence-certified accelerators, enterprises can fast-track governance and certified data asset creation. Our solutions, DQuest (Data Quality), Sancus (Master Data Management), anomaly detection, and Pathfinder (Lineage), help organizations ensure trust, compliance, and transparency across the data ecosystem.

Here’s how we’ve helped our customers win at the last mile

A leading US soft drink maker cuts TCO with scalable data modernization

A leading soft drink manufacturer’s legacy data warehouse faced frequent outages from scalability issues and heavy data loads. It also struggled with inefficient pipelines, duplicate provisioning, and slow dashboard performance, driving a high total cost of ownership (TCO).

Tredence partnered with the company to modernize its data infrastructure, migrating from a relational database to a scalable cloud platform. The company created a highly available environment with optimized ETL, provisioning, and dashboards. Through its expertise in data engineering, Tredence helps organizations modernize infrastructure, enhance operational efficiency, and establish scalable platforms that support long-term business objectives, reflecting the capabilities expected of leading data engineering services companies.

30% reduced platform TCO over three years

200 KPIs enabled with end-to-end supply chain visibility

99% adherence to pipeline service level agreements

20% improvement in dashboard performance

Leading convenience retailer evolves data strategy to keep pace with growth

A global convenience retailer faced daily data challenges due to rapid growth and acquisitions, resulting in petabytes of unused data and 30-hour delays in report generation.

Tredence partnered to build a modern data strategy, migrate data, implement a retail data model, and deploy ATOM.AI accelerators. Leveraging Microsoft Azure, Databricks, and Power BI, the solution enabled real-time data streaming, democratized access, and equipped teams with tailored, predictive analytics for faster, smarter decisions. This engagement illustrates how data engineering solutions providers like Tredence help retailers establish scalable data foundations that support real-time analytics, operational efficiency, and data-driven decision-making at scale.

12% shrink reduction by implementing machine learning-driven production planning

100% SLA adherence to business and IT requirements

40% reduction in query costs by optimizing processes

Global online marketplace and reseller innovates its e-commerce customer experience

A leading online marketplace experienced rapid business growth, straining data processes. The company needed a modern data architecture that could support rapid experimentation and enhance the user experience by enabling personalization at scale.

Tredence modernized data on the AWS Cloud and Databricks Data Intelligence Platform, enabling real-time data processing to optimize the company’s e-commerce experience. Marketing and e-commerce teams can experiment easily, testing and deploying new personalization strategies. Data engineering consulting firms like Tredence help organizations create agile data ecosystems that empower teams to accelerate innovation and improve customer experiences.

40% overall platform cost reductions in Year 1

50% improvement in data size, using compression and a standardized data model

25% improvement in self-service capabilities

US telecommunications company develops modern data processes to improve strategic decision-making

A leading US telecom aimed to improve competitiveness and streamline operations with advanced analytics and reporting. However, its legacy enterprise data warehouse (EDW) lacked scalability, slowed analytics, and was costly to maintain.

Using its migrate to modernize approach, Tredence migrated a large-scale EDW to the Databricks Data Intelligence Platform and Azure Cloud, reducing costs, simplifying the architecture, and enabling scalable analytics and machine learning (ML). Business teams now access insights to drive smarter decisions. Large-scale EDW modernization is a key area where data engineering consulting companies like Tredence help organizations create scalable architectures for advanced analytics and data-driven decision-making.

$1M in expected annual platform savings

50% reduction in support personnel after 18 months

80% improvement in dataset provisioning timeframes using the new DataOps framework