Hadoop - An Introduction

Feb 14, 2011Download as PPTX, PDF0 likes857 views

This document provides an introduction and overview of Hadoop. It discusses how businesses have been collecting large amounts of data but face challenges in analyzing it due to application complexities, data growth, infrastructure limitations, and economic factors. Hadoop is presented as a solution that can handle high-volume data, perform complex operations at scale, is robust and fault tolerant. Key components of Hadoop like HDFS, MapReduce, and the Hadoop ecosystem are described at a high level.

Shankar RadhakrishnanHCL TechnologiesHadoop – An Introduction

State of the DataWhat is HadoopHadoop EcosystemReferencesAgenda

Data driven businessesBusinesses have been collecting information all the timeMine more == Collect more (and vice-versa)ChallengesApplication ComplexitiesData growthInfrastructureEconomicsNeed of the dayState of the data

Data driven businessBusinesses have been collecting informationall the timeMine more == Collect more (and vice-versa)ChallengesApplication ComplexitiesData growthInfrastructureEconomicsState of the data

ApplicationsSearches, Message posts, Comments, Emails,Blogs, Photos, Video Clips, Product ListingsERP, CRM, Databases, Internal Applications, Customer/Consumer facing productsMobileContextWeb, Customers, Products, Business Systems,Processes, ServicesSupport SystemsCRM, SOA, Recommendation Systems/processes,Data warehouses, Business Intelligence, BPMData driven business

DriversROICustomer RetentionProduct AffinityMarket TrendsResearch AnalysisCustomer/Consumer AnalyticsProcessClusteringClassificationBuild RelationshipsRegressionTypesStructuredSemi-structuredUnstructuredMine more

Complex ApplicationsData integration is a good but complex problem to solveData GrowthGrowth is exponentialInfrastructureAvailabilityUnscalablehardwareEconomicsManaging high data volume comes at a priceFailures are very costlyChallenges

System that can handle high volume dataSystem that can perform complex operationsScalableRobustHighly AvailableFault TolerantCheapNeed of the day

Top level Apache projectOpen sourceInspired by Google’s white papers onMap/Reduce (MR), Google File System (GFS)Originally developed to support Apache Nutch Search EngineSoftware Framework - JavaDesignedFor sophisticated analysisTo deal with structured and unstructured complex data

Runs on commodity hardwareShared-nothing architectureScale hardware when ever you wantSystem compensates for hardware scalingand issues (if any)Run large-scale, high volume data processesScales well with complex analysis jobsHandles failuresIdeal to consolidate data from both new and legacy data sourcesValue to the businessWhy Hadoop?

HDFS Hadoop Distributed File SystemMap/Reduce Software framework for Clustered, Distributed data processingZooKeeper SchedulerAvro Data SerializationChukwa Data Collection System to monitor Distributed SystemsHBase Data storage for distributed large tablesHive Data warehousing infrastructurePig High-Level Query LanguageHadoop Ecosystem

Master/Slave ArchitectureRuns on commodity hardwareFault TolerantHandle large volumes of dataProvides High ThroughputStreaming data-accessSimple file coherency modelPortable to heterogeneous hardware and softwareRobustHandles disk failures, replication (& re-replication)Performs cluster rebalancing, data integrity checksHDFS – Hadoop Distributed File System

HDFS – ExampleName nodeFile system operations

Maps data-nodesData nodeProcess read/write

ReplicationTagged by a jobSplits input data-set into separate chunk’sProcessed by map tasks, in parallelSorts the output of the mapsProcessed by reduce tasks, in parallelTypically stored and processed in a file systemFramework takes care ofScheduling tasksMonitoringRe-executing failed tasksHadoop Map/Reduce

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Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/ HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar. Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten. In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich - Zugriff auf die Konsole - Auffinden und Interpretieren von Protokolldateien - Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS) - Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien - Nutzung der Client Clocking-Funktion

#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada

Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next. Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/ Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.

Cyber Awareness overview for 2025 month of securityriccardosl1