Deploop Deploop is a tool for provisioning, managing and monitoring Apache Hadoop clusters focused in the Lambda Architecture. LA is a generic design based on the concepts of Twitter engineer Nathan Marz.
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This generic architecture was designed addressing common requirements for big data. The Deploop system is in ongoing development, in alpha phases of maturity. The system is setup on top of highly scalable techologies like Puppet and MCollective. The Hadoop Deploy System. SequenceIQ Cloudbreak Cloudbreak is an effective way to start and run multiple instances and versions of Hadoop clusters in the cloud, Docker containers or bare metal. Provides automatic scaling, secure multi tenancy and full cloud lifecycle management.
Cloudbreak leverages the cloud infrastructure platforms to create host instances, uses Docker technology to deploy the requisite containers cloud-agnostically, and uses Apache Ambari via Ambari Blueprints to install and manage a Hortonworks cluster. Cloudbreak in Hortonworks.
Apache Eagle Apache Eagle is an open source analytics solution for identifying security and performance issues instantly on big data platforms, e.
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Hadoop, Spark etc. It analyzes data activities, yarn applications, jmx metrics, and daemon logs etc. Big data platform normally generates huge amount of operational logs and metrics in realtime. Apache Eagle is founded to solve hard problems in securing and tuning performance for big data platforms by ensuring metrics, logs always available and alerting immediately even under huge traffic. Apache Eagle Github Project. Apache Eagle Web Site. Applications Apache Nutch Highly extensible and scalable open source web crawler software project.
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A search engine based on Lucene: A Web crawler is an Internet bot that systematically browses the World Wide Web, typically for the purpose of Web indexing. Web crawlers can copy all the pages they visit for later processing by a search engine that indexes the downloaded pages so that users can search them much more quickly. R is a programming language and data analysis software: you do data analysis in R by writing scripts and functions in the R programming language.
R is a complete, interactive, object-oriented language: designed by statisticians, for statisticians. The language provides objects, operators and functions that make the process of exploring, modeling, and visualizing data a natural one. PivotalR on GitHub Development Frameworks Jumbune Jumbune is an open source product that sits on top of any Hadoop distribution and assists in development and administration of MapReduce solutions.
The objective of the product is to assist analytical solution providers to port fault free applications on production Hadoop environments. Jumbune supports all active major branches of Apache Hadoop namely 1.
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It has the ability to work well with both Yarn and non-Yarn versions of Hadoop. Jumbune can be deployed on any remote user machine and uses a lightweight agent on the NameNode of the cluster to relay relevant information to and fro. Jumbune 2. Jumbune GitHub Project 3. SpringSource was the company created by the founders of the Spring Framework. SpringSource was purchased by VMware where it was maintained for some time as a separate division within VMware.
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Spring XD is more than development framework library, is a distributed, and extensible system for data ingestion, real time analytics, batch processing, and data export. Spring for Apache Hadoop SHDP aims to help simplify the development of Hadoop based applications by providing a consistent configuration and API across a wide range of Hadoop ecosystem projects such as Pig, Hive, and Cascading in addition to providing extensions to Spring Batch for orchestrating Hadoop based workflows.
Spring XD on GitHub Cask Data Application Platform Cask Data Application Platform is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a range of real-time and batch use cases, and deploy applications into production.
The deployment is made by Cask Coopr, an open source template-based cluster management solution that provisions, manages, and scales clusters for multi-tiered application stacks on public and private clouds. Another component is Tigon, a distributed framework built on Apache Hadoop and Apache HBase for real-time, high-throughput, low-latency data processing and analytics applications. Cask Site Categorize Pending Fluo makes it possible to incrementally update the results of a large-scale computation, index, or analytic as new data is discovered.
Fluo allows processing new data with lower latency than Spark or Map Reduce in the case where all data must be reprocessed when new data arrives. Apache Fluo Site 2. Percolator Paper Twitter Summingbird A system that aims to mitigate the tradeoffs between batch processing and stream processing by combining them into a hybrid system.
In the case of Twitter, Hadoop handles batch processing, Storm handles stream processing, and the hybrid system is called Summingbird. TODO S4 Yahoo S4 is a general-purpose, distributed, scalable, fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections.
Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google TODO Talend Talend is an open source software vendor that provides data integration, data management, enterprise application integration and big data software and solutions. TODO Akka Toolkit Akka is an open-source toolkit and runtime simplifying the construction of concurrent applications on the Java platform. It offers a large range of analytical functions, a highly functional semantic layer often absent in other open source platforms and projects, and a respectable set of advanced data visualization features including geospatial analytics TODO Jedox Palo Palo Suite combines all core applications — OLAP Server, Palo Web, Palo ETL Server and Palo for Excel — into one comprehensive and customisable Business Intelligence platform.
The platform is completely based on Open Source products representing a high-end Business Intelligence solution which is available entirely free of any license fees. TODO Apache Zeppelin Zeppelin is a modern web-based tool for the data scientists to collaborate over large-scale data exploration and visualization projects. It is a notebook style interpreter that enable collaborative analysis sessions sharing between users.
Zeppelin is independent of the execution framework itself. Current version runs on top of Apache Spark but it has pluggable interpreter APIs to support other data processing systems. More execution frameworks could be added at a later date i. Apache Zeppelin site Hydrosphere Mist Hydrosphere Mist is a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services. It acts as a middleware between Apache Spark and machine learning stack and user faced applications.
Hydrosphere Mist github. GlusterFS is a scale-out network-attached storage file system. Red Hat Hadoop Plugin. QFS is an open-source distributed file system software package for large-scale MapReduce or other batch-processing workloads. Ceph is a free software storage platform designed to present object, block, and file storage from a single distributed computer cluster. The Lustre filesystem is a high-performance distributed filesystem intended for larger network and high-availability environments.
This is the only distribution of Apache Hadoop that is integrated with Lustre, the parallel file system used by many of the world's fastest supercomputers. Intel HPC Hadoop. GridGain is open source project licensed under Apache 2. XtreemFS is a general purpose storage system and covers most storage needs in a single deployment.
Spark XtreemFS. Apache Ignite In-Memory Data Fabric is a distributed in-memory platform for computing and transacting on large-scale data sets in real-time. Apache Ignite documentation. MapReduce is a programming model for processing large data sets with a parallel, distributed algorithm on a cluster.
Writing YARN applications. Pig provides an engine for executing data flows in parallel on Hadoop. Pig examples by Alan Gates. JAQL is a functional, declarative programming language designed especially for working with large volumes of structured, semi-structured and unstructured data. Storm is a complex event processor CEP and distributed computation framework written predominantly in the Clojure programming language.
Apache Flink formerly called Stratosphere features powerful programming abstractions in Java and Scala, a high-performance runtime, and automatic program optimization. Apache Apex is an enterprise grade Apache YARN based big data-in-motion platform that unifies stream processing as well as batch processing.
Apache Apex Proposal. PigPen is map-reduce for Clojure which compiles to Apache Pig. Corona on Github.
Apache Twill Incubator. Parkour GitHub Project. Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce. GitHub Pangool. Hortonworks Apache Tez page. DataFu provides a collection of Hadoop MapReduce jobs and functions in higher level languages based on it to perform data analysis. DataFu Apache Incubator. Pydoop GitHub Project. Open-source project from Conductor for writing MapReduce jobs consuming data from Kafka.