Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, dependability among many others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity, their development and evolution trends in relation to the operating environment. With the wide adoption of the cloud as an enabler environment for exploiting data potentials as service under new economics models, little is known about the underlying architectures which can sustain this synergy. The editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book collects together work across different disciplines in software engineering for cloud and big data including work expanded from conference tracks and workshops led by the editors.