Search Results for "big data"
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Showing 19 open source projects for "big data"
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do.... -
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Apache InLong
Apache InLong - a one-stop integration framework for massive data
...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats. -
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ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and... -
4
testng
TestNG testing framework
TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...). -
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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
6
X10
Performance and Productivity at Scale
...Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. User productivity is further enhanced by providing tools such as an Eclipse-based IDE (X10DT). Implementations of X10 are available for a wide variety of hardware and software platforms ranging from laptops, to commodity clusters, to supercomputers. -
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KittyORM
KittyORM is an ORM library designed for use with Android and SQLite.
KittyORM is an Object-Relational Mapping library designed for use with Android and SQLite. It implements Data Mapper pattern design and its main purpose is to simplify interaction with SQLite database in Android applications. Written in Java 7 it supports devices from API level 9 Android. Main features we want to achieve with KittyORM are: * simple and clear API; * high flexibility of working with model POJO files via database mappers that grants you an ability to focus on your... -
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nervalreports
A lightweight report creation Java library
Nerval Reports is a lightweight report creation library, focused on minimal computational costs. Ideally, report creation should iterate only once through its data and minimize memory allocation and processor's use, but also restrict its dependencies only to what your specific use needs. Instead of the highly expensive way of well-known engines like Jasper Reports, where performance and data reiteration is a big and set aside problem (and also is the report design as a non-programming task), at Nerval Reports the data should be sent directly when iterating through it (ie: when using databases, one will create its report while iterating through the result set - instead of creating a bunch of collections to pass them to the library), and the design is mainly focused on programmer side. ... -
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owl reasoning over big biomedical data
A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. -
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10
CSV Transformer
transforms xml to csv
The CSV Transformer is a data processing tool which transforms .xml-Files to comma separated values. The CSV Transformer was created in a load and performance testing project, the use case was to be able to transform 2800 configuration files of a big banking application to a single .csv-File. With this single file it was possible to compare the whole configuration between two releases with the already available tool CSV Comparator. -
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BIRT Report Designer
Open Source Reporting & Data Visualization Platform
...With a flexible Open Data Access framework, developers can write custom data drivers to access data from any source, including Big Data sources like Apache Hadoop, Cassandra, and MongoDB, along with all traditional relational databases, Flat Files, XML data streams, and data stored in proprietary systems. Built for embedding, BIRT includes APIs for data access, chart generation, output formats, content execution, and integration within larger applications. -
12
giServer
giServer the easy to use and extensible batch and integration server
...Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
13
Flamingo Project
Workflow Designer, Hive Editor, Pig Editor, File System Browser
Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce. -
14
Big Sack
Big Sack: A lightweight Java Key/Value store with undo and disk cache.
Big Sack is a Java persistence mechanism that allows storage of key value pairs following the popular Big Data paradigms. Its a very simple and straightforward way to bridge the gap between in-memory data structures and long-term storage. It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. ... -
15
zombie speed limit logger
Android app lets you log speed limit signs when you drive past them.
This app tells you the speed limit worldwide. To get Speed Limits: Step 1: Drive around. When you see a speed limit sign, tap the screen and add it. You have to do this part to get official data. It helps us. Step 2: When you get home, using WIFI, tap the empty screen->Settings->Sync-SyncNow. This can take several hours, do it at night. Terms of use. The goals of this app are: 1. No network use. This project is specifically for a low cost data logger. If a fancier version is desired, please fork the project. No network means no-voice-recognition, no-google-maps, no-querying wikispeedia on the fly. ... -
16
jsimple.org
Rapid Development Framework Based on the Java EE platform and Swing
In a general way, we can define a jSimple as a piece of software that automatically connects persistent data (Entities) with the user interface (visual objects). We use the word "connect" because it implements all the logic that is needed to display persistent data and to make the user input persistent, creating or modifying data. The main benefit of using a jSimple is that it simplifies database applications development, because it takes care of all the technical aspects involved in moving data from the persistent to the presentation tier and vice versa, saving big amounts of code and lots of headaches. -
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A generic SQL driven data audit tool for detecting differences between any JDBC accessible database tables and other data sources. Platform independent. It's a unix like diff for databases. Produces key values with the differing column name and data
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The goal: to provide implementations of as many algorithms (sorting, searching, ...) and data structures (lists, trees, ...) as possible, accompanied by discussion of big O run time and memory limits and references to sources of further study.
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19
The idea about this project is use it to create and provide a big data structures library, like trees, list and other.
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