Stream Google Cloud Platform Data Analytics made simple by Prokope
Generate real value from real-time insights.
Prokope can deliver an automated and cost-controlled Stream Analytics Solution, driven by Google Cloud Platform (GCP), which will provide your organisation with powerful business intelligence (BI) in a fast and efficient way.
Outcomes for your business
Real-time and cost-effective GCP analytics data solutions made easy with Prokope.
Unify GCP streaming and batch data analysis effortlessly and build interconnected data pipelines.
Your business generates impactful and real-time BI for rapid data driven decisions.
Your team can access Google Cloud Platform data directly and respond to change proactively, rather than retrospectively.
We understand your challenges
You want to have more control and use GCP streaming to deliver a leading, real-time Data Architecture that can grow as your business grows.
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ATTRACTING TALENT
You want to attract the best talent to your organisation and become a market leader using modern technology. -
TIME-CONSUMING SYSTEMS
Your organisation relies on many supplier systems and on-premises data but pulling together these disparate sources is time-consuming and complex. -
MAINTAINING LEGACY SYSTEMS
Your legacy systems need to be maintained and integrated with other data sources that are spread out across on premises systems, multiple cloud platforms solutions, and a variety of other environments.
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SLOW PROCESSES
Your existing processes are slow to respond to live changes, which can impact profitability or adapting to market change. -
CONCEPTUALISING POSSIBILITIES
It is hard to conceptualise the “art of the possible” when working with disparate data sources. -
POOR DATA ARCHITECTURE
Your existing data architecture is costly and unscalable, non-streamlined, and confusing.
Prokope's Stream Google Cloud Platform Data Analytics Solutions
We will support your GCP Stream Analytics Solutions and deliver:
Improved data management with continuous, real-time ingestion of your streaming data sources.
Expert knowledge regarding the implementation of sustainable and scalable data models.
Reusable data models, enabling you to report accurately and consistently across departments.
A real-time reporting solution that allows you to monitor and respond to changes as they happen.
Prokope will build a scalable solution, with transparent costing, that will grow with your business.
Architecture options
Here is one possible architecture option for Google Cloud Platform Stream Analytics Solutions.
Solution Components
Cloud Pub/Sub
Multiple internal and external data sources can be ingested using Cloud Pub/Sub. Pub/Sub is an asynchronous messaging service that decouples the services producing events from those that process events. It has multiple uses including acting as a message orientated middleware or providing event ingestion and delivery building data pipelines. Pub/Sub provides real-time message delivery with high availability and consistent performance at scale.
BigQuery
BigQuery is a serverless, highly scalable and cost-effective data warehouse. It enables you to query streaming data in real-time. Predictive analytics is supported through built in machine learning code using SQL. Data and insights can be rapidly created and shared via the built in BI tools.
Cloud Dataflow
Cloud Dataflow enables fast, simplified streaming data pipeline development. This serverless approach enables teams to focus on programming rather than server management, reducing operational overheads from data engineering workloads. Resource auto scaling coupled with cost-optimised batch processing capabilities enables changes in workload volumes to be managed without incurring excessive costs.
Data Studio
Leveraging your data is critical to gaining the full benefits of a new GCP streaming solution. Understanding the needs of users and the volumes of data anticipated will help to identify which data visualisation tool is appropriate. Data Studio enables your organisation to take data from multiple sources using purpose-built connectors. It facilitates the transforming of the raw data into powerful building blocks for charts and graphs. Visualisation and customisation tools enable you to leverage that data, helping with stakeholder engagement.
Real-time collaboration via an easy-to-use web interface and templates means that casual users will be able to create ad hoc reports, while specialised analytics teams can gain deeper insights.
Key considerations
Security Model
Security Model Our model will protect your architecture from threats and ensure all the right people have access to all the right data.
DevOps
Plan smarter, collaborate more effectively and develop faster using modern dev services.
Quality & Standards
Prokope's coding standards and delivery approach enables consistency, faster development and ease for successful project delivery.
Cost
We will help you to understand cost predicting, cost control and cost monitoring.
Data Governance
Expert management of the availability, usability and integrity of your data.
Efficiency
Prokope's approach is always to automate tasks where possible to minimise time and costs.
We can also provide ongoing support following successful project delivery to manage change and maintenance for the long-term.
Key business benefits
Robust real-time reporting
Regulatory compliance
Informed decisioning
Comprehensive supporting documentation
Streamlined process (resource cost avoidance)
Reduced hardware maintenance costs
Ultimately, you will benefit from having an automated and cost-controlled real-time Google Cloud Platform Data Stream Analytics Solution. This will enable your organisation to generate immediate and impactful BI. In addition, our solution will facilitate future expansion into data science, machine learning and predictive modelling.
Partner with Prokope
Transform your business data into competitive advantage.
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