Tag Archives: Query Processing

ISTC to Unveil New Big Data Federation Architecture at VLDB 2015

At the upcoming Very Large Data Bases 2015 Conference in Hawaii, the Intel Science and Technology Center for Big Data will unveil its first big “capstone” project: a federated reference architecture that enables query processing over multiple databases, where each … Continue reading

Posted in Big Data Architecture, Data Management, Databases and Analytics, DBMS, ISTC for Big Data Blog, Polystores, Storage, Visualizing Big Data | Tagged , , , , , , , | Leave a comment

Building a New Application-to-Hardware Management Stack for Big Data

The Intel Science and Technology Center for Big Data partners – Intel Labs and its seven participating academic research institutions – recently unanimously agreed to focus their research on a pioneering effort: creating a new application-to-hardware big-data management stack. Unique in industry … Continue reading

Posted in Big Data Architecture, Data Management, ISTC for Big Data Blog, Query Engines, Streaming Big Data | Tagged , , , , , , , | Leave a comment

Towards a Common Programming Model for Big Data

By Bill Howe, Dave Maier, Kristin Tufte, Tim Mattson, Andrew Whitaker,* Brandon Myers, Daniel Halperin There has been a “Cambrian explosion” of big data systems proposed and evaluated in the last few years, but relatively little understanding of how these systems or the … Continue reading

Posted in Big Data Applications, Big Data Architecture, Data Management, ISTC for Big Data Blog, Visualizing Big Data | Tagged , , , | Leave a comment

Myria: Making Strides in Big Data Management as a Service

By Magdalena  Balazinska,  University of Washington At the recent SIGMOD 2014 conference, we demonstrated the Myria Big Data Management and Analytics Service. Myria is a cloud service developed and operated by the University of Washington Database Group and eScience Institute. The … Continue reading

Posted in Big Data Applications, Data Management, DBMS, ISTC for Big Data Blog | Tagged , , , , | Leave a comment

Graph Analytics: The New Use Case for Relational Databases

ByAlekh Jindal, MIT CSAIL Graph analytics are becoming increasingly popular with several new big-data application domains such as social networks, transportation networks, ad networks, e-commerce, and web search. However, these graph analytics workloads are seen as quite different from traditional database … Continue reading

Posted in Analytics, Databases and Analytics, Graph Computation, ISTC for Big Data Blog | Tagged , , , , , , , | 3 Comments

Tupleware: Redefining Modern Analytics

By Andrew Crotty, Alex Galakatos, and Tim Kraska, Brown University The increasing prevalence of big data across all industries and sciences is causing a profound shift in the nature and scope of analytics. Increasingly complex computations, ranging from machine learning to predictive … Continue reading

Posted in Analytics, Big Data Applications, Big Data Architecture, Data Management, Databases and Analytics, DBMS, ISTC for Big Data Blog | Tagged , , , , | Leave a comment

Improving Query Speeds on Vital Industry Big Data Sets

The Intel Science & Technology Center for Big Data is working on many ways to make it easier to access, store, manage and perform analytics on big, gnarly data sets that are vital to major fields of research. One way … Continue reading

Posted in Analytics, Benchmarks, Big Data Applications, Databases and Analytics, Graph Computation, ISTC for Big Data Blog, Tools for Big Data | Tagged , , , , , , | Leave a comment

Enabling Interactive Data Exploration over Big Data

By Ugur Cetintemel, Brown University Interactive Data Exploration (IDE) has been a recent focus area of the Brown Data Management Group. This is an emerging form of data-intensive analytics in which users ask questions over a data set to make … Continue reading

Posted in Analytics, Big Data Architecture, Databases and Analytics, DBMS, ISTC for Big Data Blog, Query Engines, Tools for Big Data, Visualizing Big Data | Tagged , , , , | Leave a comment

Benchmarking Graph Databases – Updates

By Alekh Jindal, MIT CSAIL After our last post about benchmarking graph databases, Neo Technology representatives contacted us and said that they repeated the shortest path queries on Neo4j with the Facebook dataset and they observed 2-4 orders of magnitude better … Continue reading

Posted in Analytics, Big Data Applications, Big Data Architecture, Databases and Analytics, DBMS, Graph Computation, ISTC for Big Data Blog | Tagged , , , , , , , , | Comments Off on Benchmarking Graph Databases – Updates

Benchmarking Graph Databases

ByAlekh Jindal, MIT CSAIL Graph data management has recently received a lot of attention, particularly with the explosion of social media and other complex, inter-dependent datasets. As a result, a number of graph data management systems have been proposed. But … Continue reading

Posted in Analytics, Benchmarks, Big Data Applications, Big Data Architecture, Databases and Analytics, DBMS, Graph Computation, ISTC for Big Data Blog | Tagged , , , , , , , , | Comments Off on Benchmarking Graph Databases