Data Engineering and Data Integration

Data Engineering and Data Integration Services

Service Offerings

Service Overview

As businesses strive towards data-driven decision-making and analytics, success largely depends on data strategy, governance, and a strong data foundation. TekLink Teams have extensive experience creating interfaces and mechanisms for information flow and access for various use cases with our data integration services, data engineering services, and data integration consulting services. We offer data engineering services for new implementations, migrations, upgrades, validation/assurance, data maintenance, and support.

Service Overview

Success Stories

Self-service analytics on heterogeneous sources

Self-service analytics on heterogeneous sources

Commercial Sales Forecasting Engine for Better Business Decisions

Commercial Sales Forecasting Engine for Better Business Decisions

Driving Customer Satisfaction with IoT Analytics

Driving Customer Satisfaction with IoT Analytics

Service Offerings

TekLink offers a comprehensive set of data integration consulting services to help businesses improve their analytical capabilities.

Service Offerings

Revamp your enterprise data and analytics platform with TekLink’s Data Integration Services. We support our clients in their journey towards a modern data platform. It includes establishing new data solutions, building a state-of-the-art data foundation, BI architecture, processes, and support.

Migration from an existing analytics platform to a new platform (on-premise or Cloud). Through our Data Integration Services, we help you build a business case for transformation, create a roadmap for migration, and then govern & execute the analytics platform migration. TekLink will also integrate or migrate data sets from other Cloud Platforms such as Salesforce, Oracle Cloud, AWS, Google Cloud, and other Cloud Platforms.

With a strong background in handling SAP data, TekLink possesses the unique combination of expertise if you need to migrate SAP data into a non-SAP platform. Supported by our accelerators and templates, data ingestion from SAP sources becomes a risk-free process.

TekLink helps clients catalog and organize the data scattered across the organization. TekLink facilitates this by assisting client teams with data analysis and management, inventory, and evaluation.

TekLink assists clients in data quality management activities such as defining the data quality rules and monitoring data quality. As a part of our advisory service offering, we also help clients determine the data strategy and governance framework.

”TekLink has exceeded our high expectations. They came in and quickly understood our complex business issues and provided value added by challenging our approaches and offering well thought out alternatives."
IT Director

Client is Global Leader in Horticultural

"Ace quality consultants who are not only technically savvy, but have also been sensitive, patient and proactive with our requirements!!"
Finance Business Manager

Multinational Food Manufacturing Company

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Frequently Asked Questions

In Data Engineering, the process of combining data from various sources into a single, unified view is known as data integration. Integration includes steps like cleansing, ETL mapping, and transformation and starts with the ingestion process. Analytics tools can ultimately produce actionable business intelligence thanks to data integration.

Here is how you integrate data from multiple sources:

  • Identify the data you want to integrate, and their sources
  • Choose your data integration method
  • Estimate the data extraction
  • Connect to the data sources

Data Integration for analytics involves bringing together multiple sources and creating a single set of information from which users can derive actionable analysis and insights. Data Integration and Analytics are used to make decisions based on accurate and well-rounded data-backed insights.

ETL (extract, transform, and load) is a data integration process that combines data from multiple sources into a single, consistent data store that is then loaded into a data warehouse or other target system.

Here are the issues to be considered during data integration:

  • Schema Integration
  • Data Redundancy
  • Detection and Resolution of Data Value Conflicts

If you want to derive insights from different sources of data, deliver more personalized customer experiences, merge different databases, or prevent silos across departments – it is time for you to consider data integration for your company.

For successful integration, you need to:

  • Define the project
  • Have an understanding of the systems
  • Design the data integration framework
  • Define how the data will be processed
  • Implement the project

TekLink’s Data Engineering and Integration Services help you navigate all these steps.