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Luigi - Python module that helps you build complex pipelines of batch jobs
The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else.
orchestration-framework scheduling hadoopScalding - A Scala API for Cascading
Scalding is a Scala library that makes it easy to specify Hadoop MapReduce jobs. Scalding is built on top of Cascading, a Java library that abstracts away low-level Hadoop details. Scalding is comparable to Pig, but offers tight integration with Scala, bringing advantages of Scala to your MapReduce jobs.
hadoop map-reduce cascadingXLearning - AI on Hadoop
XLearning is a convenient and efficient scheduling platform combined with the big data and artificial intelligence, support for a variety of machine learning, deep learning frameworks. XLearning is running on the Hadoop Yarn and has integrated deep learning frameworks such as TensorFlow, MXNet, Caffe, Theano, PyTorch, Keras, XGBoost. XLearning has the satisfactory scalability and compatibility.Besides the distributed mode of TensorFlow and MXNet frameworks, XLearning supports the standalone mode of all deep learning frameworks such as Caffe, Theano, PyTorch. Moreover, XLearning allows the custom versions and multi-version of frameworks flexibly.
hadoop tensorflow caffe mxnet yarndata-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines
IPython Notebook(s) demonstrating deep learning functionality.IPython Notebook(s) demonstrating scikit-learn functionality.
machine-learning deep-learning data-science big-data aws tensorflow theano caffe scikit-learn kaggle spark mapreduce hadoop matplotlib pandas numpy scipy kerasApache Trafodion - Webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.
Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop. Trafodion builds on the scalability, elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide guaranteed transactional integrity, enabling new kinds of big data applications to run on Hadoop.
database distributed-database newsql oltp hbase hadoop map-reduceApache Tez - A Framework for YARN-based, Data Processing Applications In Hadoop
Apache Tez is an extensible framework for building high performance batch and interactive data processing applications, coordinated by YARN in Apache Hadoop. Tez improves the MapReduce paradigm by dramatically improving its speed, while maintaining MapReduce’s ability to scale to petabytes of data. Important Hadoop ecosystem projects like Apache Hive and Apache Pig use Apache Tez, as do a growing number of third party data access applications developed for the broader Hadoop ecosystem.
map-reduce batch-processing data-processing big-data hadoop yarn directed-acyclic-graphCascalog - Data processing on Hadoop
Cascalog is a fully-featured data processing and querying library for Clojure or Java. The main use cases for Cascalog are processing "Big Data" on top of Hadoop or doing analysis on your local computer. Cascalog is a replacement for tools like Pig, Hive, and Cascading and operates at a significantly higher level of abstraction than those tools.
big-data data-analysis data-warehouse query hadoop hadoop-toolsCascading - Data Processing Workflows on Hadoop
Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. It is a thin Java library and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.
hadoop cluster workflow hadoop-tools schedulerLizardFS - Software Defined Storage, Distributed, Parallel, Scalable, Fault-tolerant, Geo-Redundant and Highly available file system
LizardFS Software Defined Storage is a distributed, parallel, scalable, fault-tolerant, Geo-Redundant and highly available file system. It spreads data over a number of physical servers, making it visible to an end user as a single file system.
distributed-filesystem filesystem nas distributed-systems distributed-computing distributed-storage fault-tolerance snapshot qos erasure-coding replication replicas geo-replication hsm hierarchical-storage hadoopgis-tools-for-hadoop - The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data
The GIS Tools for Hadoop are a collection of GIS tools that leverage the Spatial Framework for Hadoop for spatial analysis of big data. The tools make use of the Geoprocessing Tools for Hadoop toolbox, to provide access to the Hadoop system from the ArcGIS Geoprocessing environment. Start out by navigating to samples and following the instructions provided with each sample.There are also tutorials for using the GP tools and aggregation methods.
spatial-analysis hadoopBig Data Twitter Demo
This demo analyzes tweets in real-time, even including a dashboard. The tweets are also archived in Azure DB/Blob and Hadoop where Excel can be used for BI!
azure-storage big-data blob-storage hadoop hive streaminsight twitterfloating-elephants - Docker containers for Hadoop.
Docker containers for Hadoop.An easy way to reproduce a multi-node Hadoop cluster on a local machine.
hadoop hadoop-distributions docker dnskafka-connect-hdfs - Kafka Connect HDFS connector
kafka-connect-hdfs is a Kafka Connector for copying data between Kafka and Hadoop HDFS.Documentation for this connector can be found here.
confluent kafka apache-kafka kafka-connect-hdfs kafka-connector hadoop hdfs big-data streamingcamus-compressor - Camus Compressor merges files created by Camus and saves them in a compressed format
Camus Compressor merges files created by Camus and saves them in a compressed format.Camus is massively used at Allegro for dumping more than 200 Kafka topics onto HDFS. The script runs every 15 minutes and creates one file per Kafka partition which results in about 76800 small files per day. Most of the files do not exceed Hadoop block size. This is a clear Hadoop antipattern which leads to performance issues, for example extensive number of mappers in SQL queries’ executions.
avro etl hadoop spark kafkahoodie - Spark Library for Hadoop Upserts And Incrementals
Hoodie is a Apache Spark library that provides the ability to efficiently do incremental processing on datasets in HDFS
hadoop spark parquet analytics-database ingestion hoodieSocial Icons
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