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Scalding - 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 kerasBigDL - BigDL: Distributed Deep Learning Library for Apache Spark
A distributed deep learning library for Apache Spark.
deep-learning spark neural-network big-data hadoop keras ainagios-plugins - Hadoop, Docker, Kafka, Elasticsearch, RabbitMQ, Redis, HBase, Solr, Cassandra, ZooKeeper, HDFS, Yarn, Hive, Presto, Drill, Impala, Consul, Spark, Ambari, Hortonworks, Cloudera, MapR, Neo4j, Jenkins, Travis CI, Git, MySQL, Linux, DNS, Whois, SSL Certs, Yum Security Updates, Mesos, Riak, MongoDB, Memcached, Couchbase, CouchDB
Specialised plugins for Hadoop, Big Data & NoSQL technologies, written by a former Clouderan (Cloudera was the first Hadoop Big Data vendor) and modern Hortonworks partner/consultant. Supports a a wide variety of compatible Enterprise Monitoring systems.
nagios-plugins zookeeper hadoop hbase cloudera hbase-client jenkins travis-ci nagios-plugin hortonworks ambari cassandra elasticsearch docker kafka solr redis rabbitmq consul datastaxGaffer - A large-scale entity and relation database supporting aggregation of properties
Gaffer is a graph database framework. It allows the storage of very large graphs containing rich properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet. It is designed to be as flexible, scalable and extensible as possible, allowing for rapid prototyping and transition to production systems.
accumulo graph graph-database hadoop big-data aggregation hbase parquet sparkAlluxio - Data orchestration for analytics and machine learning in the cloud
Alluxio (formerly known as Tachyon) is a virtual distributed storage system. It bridges the gap between computation frameworks and storage systems, enabling computation applications to connect to numerous storage systems through a common interface.
distributed-storage big-data memory-speed hadoop spark virtual-file-system presto tensorflow storage object-storeDataSphereStudio - DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling
DataSphere Studio (DSS for short) is WeDataSphere, a big data platform of WeBank, a self-developed one-stop data application development management portal. Based on Linkis computation middleware, DSS can easily integrate upper-level data application systems, making data application development simple and easy to use.
workflow airflow spark hive hadoop etl kettle hue tableau flink zeppelin griffin azkaban governance davinci visualis supperset linkis scriptis dataworksschool-of-sre - At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role
Site Reliability Engineers (SREs) sits at the intersection of software engineering and systems engineering. While there are potentially infinite permutations and combinations of how infrastructure and software components can be put together to achieve an objective, focusing on foundational skills allows SREs to work with complex systems and software, regardless of whether these systems are proprietary, 3rd party, open systems, run on cloud/on-prem infrastructure, etc. Particularly important is to gain a deep understanding of how these areas of systems and infrastructure relate to each other and interact with each other. The combination of software and systems engineering skills is rare and is generally built over time with exposure to a wide variety of infrastructure, systems, and software. SREs bring in engineering practices to keep the site up. Each distributed system is an agglomeration of many components. SREs validate business requirements, convert them to SLAs for each of the components that constitute the distributed system, monitor and measure adherence to SLAs, re-architect or scale out to mitigate or avoid SLA breaches, add these learnings as feedback to new systems or projects and thereby reduce operational toil. Hence SREs play a vital role right from the day 0 design of the system.
mysql git security networking hadoop nosql sre system-designLuigi - 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 hadoop workflow automation batch-jobibis - A pandas-like deferred expression system, with first-class SQL support
Ibis is a toolbox to bridge the gap between local Python environments, remote storage, execution systems like Hadoop components (HDFS, Impala, Hive, Spark) and SQL databases. Its goal is to simplify analytical workflows and make you more productive. Learn more about using the library at http://ibis-project.org.
hadoop impala pandas hdfs ibisTrino - A query engine that runs at ludicrous speed
Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data.
distributed-systems data-science sql database big-data presto hive hadoop analytics jdbc databases distributed-database query-engine datalake prestodb trinoApache 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-toolsdist-keras - Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark
Distributed Deep Learning with Apache Spark and Keras. Distributed Keras is a distributed deep learning framework built op top of Apache Spark and Keras, with a focus on "state-of-the-art" distributed optimization algorithms. We designed the framework in such a way that a new distributed optimizer could be implemented with ease, thus enabling a person to focus on research. Several distributed methods are supported, such as, but not restricted to, the training of ensembles and models using data parallel methods.
machine-learning deep-learning apache-spark data-parallelism distributed-optimizers keras optimization-algorithms tensorflow data-science hadoopmoosefs - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System
MooseFS is a Petabyte Open Source Network Distributed File System. It is easy to deploy and maintain, fault tolerant, highly performing, easily scalable, POSIX compliant. MooseFS Linux Client uses FUSE. MooseFS macOS Client uses FUSE for macOS.
dfs software-defined-storage posix filesystem file-system distributed-file-system clustering distributed-storage distributed-computing fuse big-data snapshot storage-tiering high-availability scalability storage moosefs hadoop posix-compliant
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