WP1 Project Coordination


D1.1 - Project Management Plan

This report is the first version of a summary of project management techniques to be used in running BigDataStack, including procedures for communication, documentation, deliverables review, procedures to control project progress, and risk management.

WP2 Requirements, Architecture & Technical Coordination


D2.1 – State of the art and Requirements analysis - I

This is the first deliverable of a series of deliverables (i.e. updated versions will follow) that identifies and specifies the technical requirements for BigDataStack environment and tracks them during the project lifecycle. 

D2.2 - Requirements & State of the Art Analysis – II

This is the second version of a series of three deliverables specifying the stakeholder as well as technical (software and technology) requirements for BigDataStack.  In the requirements analysis shown in this document, a top-down approach is taken with respect to the user requirements, which have been collected through the BigDataStack use case providers. This is complemented with a bottom-up approach aiming to identify, collect, and analyse the rest of stakeholder requirements as well as technical requirements from BigDataStack technology providers.

D2.3 – Requirements & State of the Art Analysis – III

In the requirements analysis presented in this document, a top-down approach is taken with respect to the user requirements, which have been collected through the BigDataStack use case providers. This is complemented with a bottom-up approach aiming to identify, collect, and analyse the rest of the stakeholder requirements as well as technical requirements from the BigDataStack technology.

D2.4 – Conceptual model and Reference architecture

This deliverable describes the key functionalities of the overall architecture, the interactions between the main building blocks and their components, 

D2.5 Conceptual model and Reference architecture - II

This deliverable is a refinement of the key functionalities of the overall architecture, the interactions between the main building blocks and their components, as they were described in the previous version of the architecture (Deliverable D2.4 - Conceptual model and Reference architecture). 

D2.6 - Conceptual model and Reference architecture - III

A holistic solution to the (big) data flow problem

WP3 Data-driven Infrastructure Management


D3.1 – Scientific Report and Prototype Description - Y1

This deliverable presents Scientific Report and Prototype Description for the work carried out in the first year of the BigDataStack project,  related to the so-called Data-Driven Infrastructure Management capability of the BigDataStack platform. The document shows how the implementation of the solution is planned to be delivered following an incremental and iterative methodology, having cycles of implementation and experimentation.

WP4 Data as a Service: Data Paths Services


D4.1 - Demonstrating Data as a Service in Big Data Stack

The Data as a Service block presents a fine set of data services which can be mapped to the major phases of Big Data processing. The architecture and the design of these data services are achieved through dedicated techniques, contextualized in the BigDataStack environment in order to run on top of the data-driven infrastructure management system and provide the required data services.

WP5 Dimensioning, Modelling & Interaction Services


D5.1 - Dimensioning, Modelling and Interaction Services of BigDataStack

BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data operations and applications. BigDataStack’s holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack’s vision of openness and extensibility.