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DataOps

Transform your data environment and operations with DataOps

The focus of data technologies, tools and teams in the last decade has largely been data aggregation, transformation, and storage. However, data consumption, where the true value of data is realized, has been ignored or fragmented. Even though most organizations have digitized their data cycle, the linear approach from generation to consumption leads to complexity. This has inhibited the data consumers like the analysts, marketing teams, data scientists and introduced hurdles in their activities. The solution to this is DataOps.

Data Complexity in the New Data Economy

Distributer nature of data origination

Growing personas of data stakeholders

Need for more insights than just reports

Big data with multiple data types

Multiple data platforms

Need for more real-time or near-time data currency

1000s of data feeds

The need for speed to market

Why DataOps?

DataOps helps you coax order out of chaos and solve the significant challenge of transforming data into business value. The absence of DataOps solutions will result in the continuation of data management dilemmas and drag down the efforts to create business value out of data. Delayed time-to-market, and monetization, if any, will come with costs that can be easily avoided.

Advanced Data Analytics

DataOps advances the utilization of multifaceted examination strategies. New AI calculations intended to control information through all phases of the examination are picking up prominence

Dramatically Lower Data Storage & Ops Costs

DataOps helps create data services & assets faster and at significantly lower costs by reducing storage infrastructure and data operations costs while also increasing productivity and efficiency.

Execute Without Regulatory Risks

DataOps helps establish consistent data governance policies that enable a rapid and secure flow of data.

High Performance

DataOps helps you create business required data in very short period of time utilizing high performing processor for complex logics.

Self Service Analytics

DataOps systems comes with reporting tool encapsulated with which you will be able to see analytics in real time

Our Approach

Our DataOps offerings and services help enterprises evolve their data management strategies to handle data at scale while being aligned with the real-world market changes as they happen.

Our Service Offerings

The common goal of most enterprise data strategy is to utilize data assets efficiently to fulfil an organization’s vision. DataOps plays a pivotal role in operationalizing this strategy through streamlining the data lifecycle. Our set of offerings help you design your solution better:

Duplicating or migrating data to a data lake or centralized data warehouse is time-consuming and unsecure most of the time. But with Data Virtualization, all tasks such as data integration, data sanitization, policy, and access integration are defined in the virtual layer, which is then applied to data as it is fetched from the source data store. Our service enables automatic updates in the background, transparency to data consumers, identifying data errors, and providing reports with unified data.

These environments can provide unique workspaces for each team. These workspaces are capable of hosting microservices, data mounts, and are capable of auto-scaling.

Data pipelines consolidate data from different sources into one common destination, enabling quick data analysis and consistent data quality, which is crucial for reliable business insights. We enable delivery of trusted data from disparate sources to support a business-ready data pipeline for DataOps. Our scalable and multi-cloud solutions help businesses accelerate their journey to AI-powered transformations. Some other key benefits of Data Integration as part of DataOps include:

Dramatically improved data quality

Real-time data-governance

Accelerated Automation

Improved predictive fraud capabilities

Personalized customer experience

DevOps is enabling organizations to adopt agile software delivery methodologies like Continuous Integration (CI) and Continuous Delivery (CD) as it has gained rapid momentum in the digital world. With CI/CD we adapt continuous automation and continuous monitoring throughout the lifecycle of software delivery, from build, integration, and testing to delivery and deployment.

Virtualized Datasets

Duplicating or migrating data to a data lake or centralized data warehouse is time-consuming and unsecure most of the time. But with Data Virtualization, all tasks such as data integration, data sanitization, policy, and access integration are defined in the virtual layer, which is then applied to data as it is fetched from the source data store. Our service enables automatic updates in the background, transparency to data consumers, identifying data errors, and providing reports with unified data.

Custom Workspaces

These environments can provide unique workspaces for each team. These workspaces are capable of hosting microservices, data mounts, and are capable of auto-scaling.

Integrated Data Pipelines

Data pipelines consolidate data from different sources into one common destination, enabling quick data analysis and consistent data quality, which is crucial for reliable business insights. We enable delivery of trusted data from disparate sources to support a business-ready data pipeline for DataOps. Our scalable and multi-cloud solutions help businesses accelerate their journey to AI-powered transformations. Some other key benefits of Data Integration as part of DataOps include:

Dramatically improved data quality

Real-time data-governance

Accelerated Automation

Improved predictive fraud capabilities

Personalized customer experience

Framework for DataOps

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