What are the objectives of the project?
The objectives of the project include developing a robust data warehouse architecture, promoting a data-driven culture in the department, contributing to ICT-driven research knowledge and skills, monitoring emerging trends in data science and technology, providing technical skills for research and innovation, and facilitating participation and buy-in from all staff members.
What are the benefits of the departmental data warehouse?
The benefits of the departmental data warehouse include rapid access to critical data from multiple sources, consistent information on cross-functional activities, reduced turnaround time for analysis and reporting, accumulation and storage of historical data for analysis and trends, and a foundation for future capacities in machine learning, deep learning, and IoT for livestock value chain optimization.
What technical capacities and tools are being utilized for the project?
The technical capacities and tools being utilized for the project include cloud storage, Google’s BigQuery for real-time queries, Hadoop for distributed storage and processing of big data, Tableau for data visualization and analytics, computer workstations with mass storage, Android tablets for field data capture, and an MTN router for uninterrupted internet access.
What features does the Data Warehouse Portal have?
The Data Warehouse Portal features a secure layer for access control and data integrity, layered administrative rights and privileges, offline and mobile app support, ACID compliance, a user-friendly graphical user interface (GUI), built-in backup and disaster recovery system, support for real-time functionalities, data modeling, query, visualization, and analytics modules, support for industry-standard SQL, access to Hadoop, built-in AI/ML modules, and training modules and tutorials.
Are there any implementation constraints for the Data Warehouse Portal?
Yes, the Data Warehouse Portal is an independent enterprise application hosted on the Google Cloud architecture.
What plans are in place for database management and policies?
Plans are in place to establish database management roles, policies, guidelines, and procedure documents. These documents will outline the technology stack, software development cycles, optimization guidelines, and other policies such as Terms of Use, Privacy Policy, and necessary disclaimers.
What functional roles are included in the Data Warehouse Portal?
The Data Warehouse Portal includes functional roles such as Super Admin, Admin, Editing Managers, Non-Editing Managers, and Basic Users.
What are the future plans for analysis, product development, and services related to the Data Warehouse?
The future plans include standalone and online analysis and analytics capacities, product development such as branding the RDBMS-based information system as a service for other departments or institutions, offering data warehousing, data analytics, artificial intelligence/machine learning, predictive analytics, and data visualization services.
How will the data warehouse be implemented and managed?
The data warehouse will be implemented using a combination of cloud storage and on-premises hardware. The data will be extracted from various sources, transformed, and loaded into the warehouse using ETL (Extract, Transform, Load) processes. It will be managed by a dedicated team responsible for monitoring data quality, security, and performance.
How does Google BigQuery contribute to the data warehouse capabilities?
Google BigQuery is a cloud-based data warehouse platform that offers highly scalable and fast analytics capabilities. It allows for storing and analyzing large datasets using SQL queries. BigQuery integrates with other Google Cloud services and provides features like automatic scaling, real-time data ingestion, and machine learning integration, enhancing the data warehouse capabilities.
How will Tableau be utilized for data analytics in the data warehouse?
Tableau is a powerful data visualization and business intelligence tool. It will be utilized in the data warehouse project to create interactive visualizations, dashboards, and reports. Tableau connects to the data warehouse, allowing users to explore and analyze data visually, gain insights, and make data-driven decisions.
What are the main features of the Data Warehouse Portal?
The main features of the Data Warehouse Portal include a user-friendly graphical user interface (GUI), data querying and exploration capabilities, interactive data visualization tools, access control and security features, integration with external systems, and support for real-time data processing.
What does ACID compliance mean in the context of the Data Warehouse Portal?
ACID (Atomicity, Consistency, Isolation, Durability) compliance in the context of the Data Warehouse Portal ensures that transactions within the system are reliable, consistent, and secure. It guarantees that each transaction is treated as a single unit of work, ensuring data integrity and reliability.
Does the Data Warehouse Portal support real-time functionalities?
Yes, the Data Warehouse Portal supports real-time functionalities. It enables users to query and analyze data in near real-time, allowing them to make data-driven decisions based on the most up-to-date information available in the data warehouse.
What roles and privileges are available within the data warehouse management system?
The data warehouse management system provides various roles and privileges to different users. Common roles include administrators, data analysts, data engineers, and business users. Each role has specific privileges and permissions assigned, ensuring appropriate access to data and functionality.
Is there a roadmap for future enhancements and updates to the data warehouse and its services?
Yes, there is a roadmap for future enhancements and updates to the data warehouse and its services. The roadmap outlines planned improvements, new features, and updates based on user feedback, technological advancements, and evolving business needs. Regular updates and enhancements are part of the data warehouse management strategy.