The new standard in DataOps Services

Modern DataOps services for seamless data management. Turing DataOps Services can transform your data infrastructure via streamlined data pipelines and end-to-end solutions. With our cutting-edge technology and deep industry knowledge, we will turn your data into a strategic asset, giving you the insights to make informed decisions and stay ahead of the curve.

How Turing creates business solutions

Our extensive experience and expertise in DataOps as a Service help us deliver custom business solutions that transform raw data into valuable insights. We use innovative data-processing techniques, efficient data pipelines, and advanced analytics to empower businesses to enhance their decision-making, identify growth opportunities, and maintain a competitive edge in the industry.
Turing Case Study: Healthcare patient engagement application

A healthcare patient engagement app brings revenue and productivity

Learn how Turing built a world-class application for personalized patient services and made healthcare more accessible to users.

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An AI marketplace for supply chain optimization and excellence

An AI marketplace for supply chain optimization and excellence

Learn how Turing AI Services helped a Fortune 100 client leverage the power of AI to detect unusual supply chain patterns, automate their customer service experience, and support the detection and prevention of diseases.

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Turing case study: A large organization finds lower compute spend from new cloud foundation

A large organization finds lower compute spend from new cloud foundation

Learn how Turing Cloud Services took an on-premise data center to Azure and built a strong landing zone to migrate their applications to secure, multi-tenant virtual networks easily.

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Our DataOps service offerings

Data Ingestion and Integration

Our data ingestion and integration services are designed to help you seamlessly collect, process, and integrate data from various sources, enabling you to unlock valuable insights and make data-driven decisions with ease.

To help businesses harness the power and potential of their data assets, we offer reliable data ingestion and integration services as part of our comprehensive DataOps portfolio.

Our data experts have deep experience handling various data formats, and technologies to ensure a smooth data ingestion process. This involves extracting data from various sources such as IoT devices, social media, customer databases, and third-party applications, subsequently transporting and loading it into a unified data platform.

Our state-of-the-art integration methodologies facilitate better interoperability between systems and enable you to make data-driven decisions at scale. Book a call with us to discover the full range of DataOps services.

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Frequently Asked Questions

DataOps is a modern approach to managing and delivering data analytics and data management processes in a collaborative and agile manner. It is a set of practices, and methodologies that aim to streamline and automate the end-to-end data operations process, from data acquisition and management to data analysis and visualization.

DataOps is critical for any business due to the following reasons:

  • Streamlined data management
  • Improved data quality
  • Advanced insights
  • Increased agility
  • Higher ROI

DataOps and DevOps are two related but distinct approaches to software development and operations. DevOps is an approach to software development that emphasizes collaboration and communication among developers, operations teams, and other stakeholders involved in the software development life cycle (SDLC).

DataOps, on the other hand, is an approach to managing and delivering data analytics and data management processes in a collaborative and agile manner. It emphasizes the same principles as DevOps, including collaboration, automation, and continuous delivery, but it focuses specifically on the data-related aspects of software development and operations.

Turing offers comprehensive DataOps services that include data ingestion and integration, data quality management, data storage and management, data governance, and data analytics & reporting among others.

Yes, you can implement DataOps at any stage of product development. It is a flexible and adaptable methodology that focuses on improving collaboration, integration, and automation of data workflows across your organization. You can introduce it at any point in the product development lifecycle, whether you're in the planning stages, actively developing features, or refining and optimizing existing processes.

There are several steps involved in implementing DataOps in your organization. Here are the key steps involved in the implementation of DataOps:

  • Assess your organization’s data readiness
  • Define your DataOps objectives
  • Implement DataOps processes and tools
  • Build a DataOps culture
  • Continuous monitoring & optimization
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What clients say about Turing

900+ top companies have trusted Turing and the Talent Cloud for their engineering needs.