Unlock value from your data with our data engineering services on Google Cloud
Data Engineering and Analytics services are crucial to modernize your data infrastructure, including transitioning from legacy systems to modern cloud solutions on Google Cloud.
Vanenburg 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.
Rapid Application Development
Eva is a Productivity Improvement Framework for Application Development on Google Cloud It gives you the capability to accelerate the building of advanced Enterprise Business Applications at scale on Google Cloud through smart requirements gathering, instant prototyping, and rapid code generation.
Rapid Application Development
Eva is a Productivity Improvement Framework for Application Development on Google Cloud It gives you the capability to accelerate the building of advanced Enterprise Business Applications at scale on Google Cloud through smart requirements gathering, instant prototyping, and rapid code generation.
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.
Our 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 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 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 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.
Benefits
Maximize the value of your data
Faster time to value
Faster decision making and development cycles with Solution accelerators , best practices and proven services without compromising quality.
Increased sales
Leverage online/e-commerce data to fuel sales initiatives with targeted offerings based on new insights.
Enhanced compliance
Protect sensitive customer data and automate controls to reduce risks as data is stored and shared.
User satisfaction/empowerment
Self-service analytics model for business users and analysts.
New customer & market insight
Enable better personalization to improve customer experience, increase customer loyalty and conversion rates.
Improved operational efficiency
Leveraging operational data to improve efficiency; For example, distributor data to get better supply chain visibility, identify gaps, and improve replenishment rates.
Take advantage of Google Cloud's leading data capababilities
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.
Why we are fan of 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
Our expertise
We use industry-leading technologies from Google Cloud including
Cloud Data Fusion
Cloud Composer
Datastream
Dataflow
Pub/Sub
Cloud Functions
BigQuery
BigQuery ML
Looker
Vertex AI
We use industry-leading open source languages and technologies like
Python
Tensorflow
Scikit Learn
Why Vanenburg?
End-to-end data engineering services delivered at scale
We have done this already for leading multinational/large enterprise customers from various industries and for a diverse set of use-cases.
Proven accelerators for
fast time-to-value
Solution accelerators for fast-tracking implementations. Vanenburg offers a toolkit with best practices for accelerating your data monetization journey.
Dedicated data
science team
Make use of Google Cloud’s leading technologies by a dedicated partner, to easily embed AI/ML into your applications and business processes.
Maqqie customer case
Read our Maqqie case study to learn more about how we scaled a digital labor platform with data-driven offerings on Google Cloud.
