Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers
the high throughput of batch processors, the low latency of stream processors, and the ability …

Many" big data" applications must act on data in real time. Running these applications at
ever-larger scales requires parallel platforms that automatically handle faults and stragglers …

We present Stratosphere, an open-source software stack for parallel data analysis.
Stratosphere brings together a unique set of features that allow the expressive, easy, and …

With the ubiquity of real-time data, organizations need streaming systems that are scalable,
easy to use, and easy to integrate into business applications. Structured Streaming is a new …

Data is at the center of many challenges in system design today. Difficult issues need to be
figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In …

Many important “big data” applications need to process data arriving in real time. However,
current programming models for distributed stream processing are relatively low-level, often …

To meet the challenge of processing rapidly growing graph and network data created by
modern applications, a number of distributed graph processing systems have emerged …

Big data is typically characterized with 4V's: Volume, Velocity, Variety and Veracity. When it
comes to big graphs, these challenges become even more staggering. Each and every of …

Enterprises today acquire vast volumes of data from different sources and leverage this
information by means of data analysis to support effective decision-making and provide new …

Software systems that learn from user data with machine learning (ML) have become
ubiquitous over the last years. Recent law such as the" General Data Protection …