Search Results for "job"
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Showing 14 open source projects for "job"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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ElasticJob
Distributed scheduled job framework
...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 efficiency improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. ... -
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Dolphin Scheduler
A distributed and extensible workflow scheduler platform
Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available `out of the box`. Dedicated to solving the complex task dependencies in data processing, making the scheduler system out of the box for data processing. Decentralized multi-master and multi-worker, HA is supported by itself, overload processing. All process definition operations are visualized, Visualization process defines key information at a glance, One-click deployment. ... -
3
Genie
Distributed Big Data Orchestration Service
Genie is a completely open source distributed job orchestration engine developed by Netflix. Genie provides REST-ful APIs to run a variety of big data jobs like Hadoop, Pig, Hive, Spark, Presto, Sqoop and more. It also provides APIs for managing the metadata of many distributed processing clusters and the commands and applications which run on them. -
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MentDB Projects
Generalized Interoperability and Strong AI
MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language. MentDB Strong (Strong AI / AGI): The framework for exploring and building Machine... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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5
VMS Draw
user-friendly access to the latest computational spectroscopy tools
VMS Draw provides general utilities (e.g. normalization, conversion, and other manipulations of several spectra at the same time) and a flexible graphical user interface (GUI) for an easy use by non-specialists which allows a seamless flow of information between experimentally and theoretically oriented researchers. Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set... -
6
spatial-framework-for-hadoop
The Spatial Framework for Hadoop allows developers
...Alternatively, you can build a jar at the root level of each framework component. Custom MapReduce jobs that use the Esri Geometry API require that the developer has authored the job, (referencing the com.esri.geometry.* classes), and deployed the job Jar file to the Hadoop system, prior to the ArcGIS user submitting the workflow file. -
7
CloverDX
Design, automate, operate and publish data pipelines at scale
...More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace -
8
giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. 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 -
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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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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10
LogsGrep
A grep-like utility for log files.
...The primary target is Java log files (Log4J, common, ...), where it is very common to have multiline log entries (for example log entries with a stacktrace). It follows Unix philosophy, does only its primary job and expects its input to be generated by other more advanced tools (tail, cat, type, find...); There is no goal to be compatible with Unix grep. LogsGrep is written in the Java programming langue having performance and low resource usage in mind (no strings, no object creation, stream-processing). -
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Apatar is an open source Extract, Transform, and Load (ETL) project. Modular architecture delivers 1. Visual job designer/mapping 2. Connectivity to all major data sources 3. Flexible Deployment Options (GUI, or server engine with JVM, or embedded).
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An extension package to Pentaho Data Integration, providing plug-ins. Steps/job entries can be downloaded independently and each comes with source code in the .zip file. All are licensed as LGPL or GPL.
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13
Job implementation and wrapper to easily execute a talend job with the Job Scheduler. Both tools (Talend Open Studio and Job Scheduler) are open source anc can be found on SourceForge.
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14
S.o.n.a.r. is an analysis- and visualization tool developed for the popular business network XING (www.xing.com). Registered XING users can search for companies and contact their personnel manager or other decision makers, i.e. for a job application.
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