Modernize and maximize your data

Data Engineering and Analytics services are crucial to modernize your data infrastructure, including transitioning from legacy systems to modern cloud solutions on Google Cloud.

Rappit offers end-to-end data services, enabling organizations to bring all their data into one data cloud and making it accessible for a wide range of use cases.

The challenge

Organizations recognize that their data is at the heart of digital innovation, and it’s the key to accelerate decision making and improving customer experience. The challenge is that data is being generated at far greater rates than ever before, and the siloed data storage and warehouse strategies can’t keep up with modern demands.

To increase their pace of innovation and achieve the best possible outcomes, organizations should:

Break the data silos and work towards a unified data cloud that enables the integration of data and insights into new digital experiences and workflows.
Create a data cloud that includes all formats of data from a wide range of data sources (private and public datasets) and from on-premise or any cloud.
Adopt an action-focused BI paradigm where insights are served to more people both internal audiences and external users.

Discover our data engineering services

End-to-end data engineering

Data ingestion

Extraction of structured, semi-structured and unstructured data coming from streaming and batch sources and refining and transforming data to make it available on an integrated cloud data warehouse, for exploration and analysis.

Data storage

Extracting, processing, transforming, and loading data into various relational, non-relational, noSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, type of data.

Data pipelines

Building production-grade replicable data workflow pipelines to move, transform and store data using various legacy, big data and / or cloud orchestration and data management pipeline tools to process data in batch and real time.

Data CI/CD

Expertise in legacy and cloud-based deployment services for developing efficient production build and release pipelines based on infrastructure-as-code artifacts, database objects, data pipeline definitions and data validation.

Data warehouse modernization

An efficient and smart approach for migrating and integrating all of your business data from on-prem legacy systems into cloud storage infrastructure / data lake / data warehouse.

Data discovery and management

Expertise in setting up systems and processes to quickly discover, understand, classify and manage all your data assets across all repositories and set rules to enforce your data policies so as to mitigate regulatory and compliance risks.

Take advantage of Google Cloud’s leading data capabilities

Google was built to organize the world’s information and make it universally accessible and useful. By building a data infrastructure that powers Google products used by billions of people, such as Search, Maps, Ads, and YouTube, Google Clouds has used this expertise to deliver a new kind of data cloud, available to every company.

Hence, Google Cloud is a leader when it comes to data. Its data platform is a primary reason why the largest enterprises in the world like The Home Depot, HSBC, and UPS run their mission-critical applications on Google Cloud.

Leading analyst firms agree that Google Cloud’s database and analytics are proven and enterprise-ready for any size data team.

Google Cloud is one of the fastest-growing clouds in the world across industries.

Google Cloud’s databases and analytics operate with an open philosophy, which includes open source software and databases.

Google Cloud makes it easy for companies to solve their biggest data-driven problems, embedding solutions with market-leading AI.