• Vertica

  • Referenced in 1 article [sw27059]
  • very first line of code for Big Data analytics. It is designed ... data warehouses and other big data workloads where speed, scalability, simplicity, and openness are crucial ... anywhere delivers on the promise of big data analytics like no other solution...
  • CloudPhylo

  • Referenced in 2 articles [sw22014]
  • data, CloudPhylo is well suited for big data analysis, achieving high efficiency and good scalability...
  • BigDebug

  • Referenced in 1 article [sw27739]
  • BigDebug: debugging primitives for interactive big data processing in spark. Developers use cloud computing platforms ... data in parallel when developing big data analytics. Debugging the massive parallel computations that ... interactive, real-time debugging primitives for big data processing in Apache Spark, the next generation...
  • AsterixDB

  • Referenced in 1 article [sw21655]
  • full-function BDMS (Big Data Management System) with a feature set that distinguishes it from ... platforms in today’s open source Big Data ecosystem. Its features make it well-suited ... other use cases related to Big Data. AsterixDB has a flexible NoSQL style data model...
  • PEDAL

  • Referenced in 1 article [sw23564]
  • efficient concurrency bug reproduction in big data environment. Concurrency bugs usually manifest under very rare ... challenges are compounded in a big data environment. This paper explores the topic of concurrency ... Event driven Dynamic AnaLysis (PEDAL). The runtime data consisting of synchronization points is used ... prove its scalability in a big data environment, we use PEDAL to analyze several real...
  • TPC Benchmark DS

  • Referenced in 2 articles [sw26643]
  • enables emerging technologies, such as Big Data systems, to execute the benchmark...
  • PivotalR

  • Referenced in 2 articles [sw18943]
  • Provides an R interface for the Pivotal Data stack running on ’PostgreSQL’, ’Greenplum’ or ’Apache ... parallel and distributed computation ability for big data processing. ’PivotalR’ provides an R interface...
  • PyCOMPSs

  • Referenced in 2 articles [sw28741]
  • inherent concurrency of the script, detecting the data dependencies between tasks and spawning them ... built on top of a Big Data storage architecture, where the data stored...
  • ProTraS

  • Referenced in 2 articles [sw33763]
  • process of knowledge discovery in big data, sampling is a technological brick that...
  • SAMOA

  • Referenced in 2 articles [sw12783]
  • Analysis) is a platform for mining big data streams. It provides a collection of distributed...
  • Vispark

  • Referenced in 2 articles [sw17471]
  • spark. With the growing need of big-data processing in diverse application domains, MapReduce...
  • LIBMF

  • Referenced in 2 articles [sw16661]
  • large matrices commonly seen in the big data era. Many parallel techniques have been proposed...
  • SparkSW

  • Referenced in 2 articles [sw22017]
  • Spark is an increasingly popular fast big data analytics engine, which has been highly successful...
  • DataSist

  • Referenced in 1 article [sw31200]
  • advanced tools and techniques. Therefore, big data analytics and mining is currently an active ... quickly analyze, mine and visualize big data sets. The objectives of this project were...
  • DeltaRho

  • Referenced in 1 article [sw30533]
  • enable deep analysis of large complex data. Big data is usually complex...
  • OnlineStats.jl

  • Referenced in 1 article [sw33842]
  • Online Algorithms for Statistics, Models, and Big Data Viz. Online algorithms are well suited...
  • SciServer Compute

  • Referenced in 1 article [sw29411]
  • component of SciServer, a big-data infrastructure project developed at Johns Hopkins University that will...
  • SciHive

  • Referenced in 1 article [sw17473]
  • file formats. The processing of such big data becomes an urgent challenge. In this paper...
  • Ristretto

  • Referenced in 1 article [sw33022]
  • rank decompositions of global spatiotemporal atmospheric chemistry data. By exploiting emerging randomized linear algebra algorithms ... that extract the dominant features from big data sets (i.e., global atmospheric chemistry at longitude...
  • HCViewer

  • Referenced in 1 article [sw22147]
  • system for the analysis and processing raw data of mass population screening in the Russian ... developed. In it, essential elements of big data, including data filtering (i.e., detection and removal...