background preloader

Welcome to Apache™ Hadoop®!

Welcome to Apache™ Hadoop®!
What Is Apache Hadoop? The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The project includes these modules:

Related:  Big data and data visualizationToolsData Platforms

HDFS Architecture Guide Introduction The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets. Download Microsoft® SQL Server® 2012 SP1 PowerPivot for Microsoft Excel® 2010 from Official Microsoft Download Center <a id="b7777d05-f9ee-bedd-c9b9-9572b26f11d1" target="_self" class="mscom-link download-button dl" href="confirmation.aspx?id=29074" bi:track="false"><span class="loc" locid="46b21a80-a483-c4a8-33c6-eb40c48bcd9d" srcid="46b21a80-a483-c4a8-33c6-eb40c48bcd9d">Download</span></a> Microsoft PowerPivot for Microsoft Excel 2010 provides ground-breaking technology; fast manipulation of large data sets, streamlined integration of data, and the ability to effortlessly share your analysis through Microsoft SharePoint.

Understanding the GitHub Flow · GitHub Guides GitHub Flow is a lightweight, branch-based workflow that supports teams and projects where deployments are made regularly. This guide explains how and why GitHub Flow works. Create a branch When you're working on a project, you're going to have a bunch of different features or ideas in progress at any given time – some of which are ready to go, and others which are not. The history of Hadoop – Medium The story begins on a sunny afternoon, sometime in 1997, when Doug Cutting (“the man”) started writing the first version of Lucene. What is Lucene, you ask. TLDR; generally speaking, it is what makes Google return results with sub second latency.

Data Platform Not only open-source, but built in the open. HDP demonstrates our commitment to growing Hadoop and it’s sub-projects with the community and completely in the open. HDP is assembled entirely of projects built through the Apache Software Foundation. How is this different from open-source, and why is it so important? Proprietary Hadoop extensions can be made open-source simply by publishing to github. MapReduce Tutorial This section provides a reasonable amount of detail on every user-facing aspect of the MapReduce framework. This should help users implement, configure and tune their jobs in a fine-grained manner. However, please note that the javadoc for each class/interface remains the most comprehensive documentation available; this is only meant to be a tutorial. Let us first take the Mapper and Reducer interfaces. Applications typically implement them to provide the map and reduce methods.

Unit Testing Assistance ReSharper helps discover and run or debug unit tests right in Visual Studio . The following unit testing frameworks are supported: With ReSharper, you can execute a single unit test, all tests in a test class, file, project or solution. You can also execute any number of tests combined in a test session. Unit testing assistance can be extended with other JetBrains .NET products: you can profile unit tests with dotTrace and analyzes code coverage of unit tests with dotCover. These products are also included in the ReSharper Ultimate. Data Analysis Software for Recycling & Waste Management - AMCS Group AMCS has a team of dedicated data specialists with a wealth of experience in the resource, recycling and waste management industry. AMCS can analyse your business data and identify the key metrics that help your business expand reduce costs and increase profits. Combined with our class leading software, our data analysis team can help you increase recycling rates, optimize collection routes, automate MRF processes and identify areas for market growth within the recycling and waste management industry. AMCS Data provides

Building an R Hadoop System - R and Data Mining The information provided in this page might be out-of-date. Please see a newer version at Step-by-Step Guide to Setting Up an R-Hadoop System.This page shows how to build an R Hadoop system, and presents the steps to set up my first R Hadoop system in single-node mode on Mac OS X. After reading documents and tutorials on MapReduce and Hadoop and playing with RHadoop for about 2 weeks, finally I have built my first R Hadoop system and successfully run some R examples on it. Here I’d like to share my experience and steps to achieve that.

Latest As I mentioned in my previous post, our collaboration with the Sabeti Lab is aimed at creating new visual exploration tools to help researchers, doctors, and clinicians discover patterns and associations in large health and epidemiological datasets. These tools will be the first step in a hypothesis-generation process, combining intuition from expert users with visualization techniques and automated algorithms, allowing users to quickly test hypothesis that are “suggested” by the data itself. Researchers and doctors have a deep familiarity with their data and often can tell immediately when a new pattern is potentially interesting or simply the result of noise. Visualization techniques will help articulate their knowledge to a wider audience. This time around I will describe a quantitative measure of statistical independence called mutual information, which is used to rank associations in the data.

SQL Language for management and use of relational databases SQL ( S-Q-L,[4] "sequel"; Structured Query Language)[5][6][7] is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful in handling structured data, i.e. data incorporating relations among entities and variables.

Related:  apache\MapReduceBig DataclojureBigDatadata processingPOOL1HadoopSystems and Methodscassandrafile systemsGooglebigdataaidanbairdHadoop ToolsBIG Datacotey