FeedZai is a software company specialized in creating high-­‐throughput low-­‐latency data processing solutions. FeedZai develops a product called "FeedZai Pulse" for continuous event-­‐driven analytics that makes application development easier for end users. It automatically calculates key performance indicators and baselines, showing how current performance differ from previous history, creating timely business intelligence updated to the second. The tool does predictive analytics and trend analysis, displaying data on real-­‐time web-­‐based graphics. In 2010 FeedZai won the European EBN Smart Entrepreneurship Competition, in the Digital Models category, being considered one of the "top-­‐20 smart...
Last year, Software AG acquired Terracotta, a leading player for In Memory Data Management for the...
Complex Event Processing (CEP) systems are becoming increasingly popular in do- mains for decision a...
Our motivation in this BS final project will be analyzing the different big data processing approach...
Distributed execution of real-time data analytics such as event stream processing is the key to scal...
To date, big data applications have focused on the store-and-process paradigm. In this paper we desc...
Summarization: The concept of event processing is established as a generic computational paradigm in...
Big Data, more than ever, is playing a vital role in IT decision making, with such decisions increas...
In Big Data contexts, many batch and streaming oriented technologies have emerged to deal with the h...
2014-10-20Emerging applications in domains like Smart Grid, e-commerce and financial services exempl...
The purpose of this paper is to illustrate how and why we have evolved our data processing systems; ...
This tutorial deals with applications that help systems and individuals respond to critical condit...
Today there are so much data being available from sources like sensors (RFIDs, Near Field Communicat...
As data volumes grow across applications, analytics of large amounts of data is becoming increasingl...
Complex Event Processing (CEP) is a computer-based technique used to track, analyse and process data...
Applying big-data technologies to field applications has resulted in several new needs. First, proce...
Last year, Software AG acquired Terracotta, a leading player for In Memory Data Management for the...
Complex Event Processing (CEP) systems are becoming increasingly popular in do- mains for decision a...
Our motivation in this BS final project will be analyzing the different big data processing approach...
Distributed execution of real-time data analytics such as event stream processing is the key to scal...
To date, big data applications have focused on the store-and-process paradigm. In this paper we desc...
Summarization: The concept of event processing is established as a generic computational paradigm in...
Big Data, more than ever, is playing a vital role in IT decision making, with such decisions increas...
In Big Data contexts, many batch and streaming oriented technologies have emerged to deal with the h...
2014-10-20Emerging applications in domains like Smart Grid, e-commerce and financial services exempl...
The purpose of this paper is to illustrate how and why we have evolved our data processing systems; ...
This tutorial deals with applications that help systems and individuals respond to critical condit...
Today there are so much data being available from sources like sensors (RFIDs, Near Field Communicat...
As data volumes grow across applications, analytics of large amounts of data is becoming increasingl...
Complex Event Processing (CEP) is a computer-based technique used to track, analyse and process data...
Applying big-data technologies to field applications has resulted in several new needs. First, proce...
Last year, Software AG acquired Terracotta, a leading player for In Memory Data Management for the...
Complex Event Processing (CEP) systems are becoming increasingly popular in do- mains for decision a...
Our motivation in this BS final project will be analyzing the different big data processing approach...