HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions . The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing for applications utilizing big data . The HPCC platform includes system configurations to support both parallel batch data processing (Thor) and high-performance online query applications using indexed data files (Roxie). The HPCC platform also includes a data-centric declarative programming language for parallel data processing called ECL .
91-408: The public release of HPCC was announced in 2011, after ten years of in-house development (according to LexisNexis). It is an alternative to Hadoop and other Big data platforms. The HPCC system architecture includes two distinct cluster processing environments Thor and Roxie , each of which can be optimized independently for its parallel data processing purpose. The first of these platforms
182-609: A Filesystem in Userspace (FUSE) virtual file system on Linux and some other Unix systems. File access can be achieved through the native Java API, the Thrift API (generates a client in a number of languages e.g. C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa , Smalltalk, and OCaml ), the command-line interface , the HDFS-UI web application over HTTP , or via 3rd-party network client libraries. HDFS
273-491: A data store due to its lack of POSIX compliance, but it does provide shell commands and Java application programming interface (API) methods that are similar to other file systems. A Hadoop instance is divided into HDFS and MapReduce. HDFS is used for storing the data and MapReduce is used for processing data. HDFS has five services as follows: Top three are Master Services/Daemons/Nodes and bottom two are Slave Services. Master Services can communicate with each other and in
364-405: A distributed indexed filesystem to provide parallel processing of queries using an optimized execution environment and filesystem for high-performance online processing. A Roxie cluster is similar in its function and capabilities to ElasticSearch and Hadoop with HBase and Hive capabilities added, and provides for near real time predictable query latencies. Both Thor and Roxie clusters utilize
455-450: A 28.5% operating margin, giving AWS a $ 9.6 billion run rate. In 2015, Gartner estimated that AWS customers are deploying 10x more infrastructure on AWS than the combined adoption of the next 14 providers. In 2016 Q1, revenue was $ 2.57 billion with net income of $ 604 million, a 64% increase over 2015 Q1 that resulted in AWS being more profitable than Amazon's North American retail business for
546-631: A Community Edition and an Enterprise Edition. The Community Edition is free to download, includes the source code and is released under the Apache License 2.0. The Enterprise Edition is available under a paid commercial license and includes training, support, indemnification and additional modules. In November 2011, HPCC Systems announced the availability of its Thor Data Refinery Cluster on Amazon Web Services . In January 2012, HPCC Systems announced distributed machine learning algorithms. Hadoop Apache Hadoop ( / h ə ˈ d uː p / )
637-578: A HPCC environment includes only Thor clusters, or both Thor and Roxie clusters, although Roxie occasionally is used to build its own indexes. The overall HPCC software architecture is shown in Figure 4. HPCC Systems (High Performance Computing Cluster) is part of LexisNexis Risk Solutions and was formed to promote and sell the HPCC software. In June 2011, it announced the offering of the software under an open source dual license model. HPCC Systems offers both
728-514: A Heartbeat message to the Name node every 3 seconds and conveys that it is alive. In this way when Name Node does not receive a heartbeat from a data node for 2 minutes, it will take that data node as dead and starts the process of block replications on some other Data node. Secondary Name Node: This is only to take care of the checkpoints of the file system metadata which is in the Name Node. This
819-534: A PB per day. As of 2013 , Hadoop adoption had become widespread: more than half of the Fortune 50 companies used Hadoop. Hadoop can be deployed in a traditional onsite datacenter as well as in the cloud . The cloud allows organizations to deploy Hadoop without the need to acquire hardware or specific setup expertise. A number of companies offer commercial implementations or support for Hadoop. Amazon Web Services Amazon Web Services, Inc. ( AWS )
910-479: A bottleneck for supporting a huge number of files, especially a large number of small files. HDFS Federation, a new addition, aims to tackle this problem to a certain extent by allowing multiple namespaces served by separate namenodes. Moreover, there are some issues in HDFS such as small file issues, scalability problems, Single Point of Failure (SPoF), and bottlenecks in huge metadata requests. One advantage of using HDFS
1001-501: A certification program for computer engineers, on April 30, 2013, to highlight expertise in cloud computing. Later that year, in October, AWS launched Activate , a program for start-ups worldwide to leverage AWS credits, third-party integrations, and free access to AWS experts to help build their business. In 2014, AWS launched its partner network, AWS Partner Network (APN), which is focused on helping AWS-based companies grow and scale
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#17327804947331092-417: A choice of operating systems ; networking; and pre-loaded application software such as web servers , databases , and customer relationship management (CRM). AWS services are delivered to customers via a network of AWS server farms located throughout the world. Fees are based on a combination of usage (known as a "Pay-as-you-go" model), hardware, operating system, software, and networking features chosen by
1183-478: A cluster. It then transfers packaged code into nodes to process the data in parallel. This approach takes advantage of data locality , where nodes manipulate the data they have access to. This allows the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking. The base Apache Hadoop framework
1274-461: A default pool. Pools have to specify the minimum number of map slots, reduce slots, as well as a limit on the number of running jobs. The capacity scheduler was developed by Yahoo. The capacity scheduler supports several features that are similar to those of the fair scheduler. There is no preemption once a job is running. The biggest difference between Hadoop 1 and Hadoop 2 is the addition of YARN (Yet Another Resource Negotiator), which replaced
1365-419: A fast-growing $ 5 billion business; analysts described it as "surprisingly more profitable than forecast". In October, Amazon.com said in its Q3 earnings report that AWS's operating income was $ 521 million, with operating margins at 25 percent. AWS's 2015 Q3 revenue was $ 2.1 billion, a 78% increase from 2014's Q3 revenue of $ 1.17 billion. 2015 Q4 revenue for the AWS segment increased 69.5% y/y to $ 2.4 billion with
1456-461: A majority of the hires coming from outside the company; Jeff Lawson, Twilio CEO, Adam Selipsky, Tableau CEO, and Mikhail Seregine, co-founder at Outschool among them. In late 2003, the concept for compute, which would later launch as EC2 , was reformulated when Chris Pinkham and Benjamin Black presented a paper internally describing a vision for Amazon's retail computing infrastructure that
1547-729: A region, since they are intentionally isolated from each other to prevent outages from spreading between zones. Several services can operate across Availability Zones (e.g., S3, DynamoDB ) while others can be configured to replicate across zones to spread demand and avoid downtime from failures. As of December 2014, Amazon Web Services operated an estimated 1.4 million servers across 11 regions and 28 availability zones. The global network of AWS Edge locations consists of over 300 points of presence worldwide, including locations in North America, Europe, Asia, Australia, Africa, and South America. As of March 2024, AWS has announced
1638-511: A single application programming interface (API) In April 2024, AWS announced a new service called Deadline Cloud, which lets customers set up, deploy and scale up graphics and visual effects rendering pipelines on AWS cloud infrastructure. Notable customers include NASA , and the Obama presidential campaign of 2012 . In October 2013, AWS was awarded a $ 600M contract with the CIA . In 2019, it
1729-402: A single namenode plus a cluster of datanodes, although redundancy options are available for the namenode due to its criticality. Each datanode serves up blocks of data over the network using a block protocol specific to HDFS. The file system uses TCP/IP sockets for communication. Clients use remote procedure calls (RPC) to communicate with each other. HDFS stores large files (typically in
1820-587: A standalone JobTracker server can manage job scheduling across nodes. When Hadoop MapReduce is used with an alternate file system, the NameNode, secondary NameNode, and DataNode architecture of HDFS are replaced by the file-system-specific equivalents. The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework. Some consider it to instead be
1911-671: A way of obtaining large-scale computing capacity more quickly and cheaply than building an actual physical server farm. All services are billed based on usage, but each service measures usage in varying ways. As of 2023 Q1, AWS has 31% market share for cloud infrastructure while the next two competitors Microsoft Azure and Google Cloud have 25%, and 11% respectively, according to Synergy Research Group. As of 2021, AWS comprises over 200 products and services including computing , storage , networking , database , analytics , application services , deployment , management , machine learning , mobile , developer tools , RobOps and tools for
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#17327804947332002-605: A way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, led by then CTO Allan Vermeulen. Around the same time frame, Amazon was frustrated with the speed of its software engineering, and sought to implement various recommendations put forth by Matt Round, an engineering leader at the time, including maximization of autonomy for engineering teams, adoption of REST , standardization of infrastructure, removal of gate-keeping decision-makers (bureaucracy), and continuous deployment . He also called for increasing
2093-469: Is a Hadoop application that runs on a Linux cluster with more than 10,000 cores and produced data that was used in every Yahoo! web search query. There are multiple Hadoop clusters at Yahoo! and no HDFS file systems or MapReduce jobs are split across multiple data centers. Every Hadoop cluster node bootstraps the Linux image, including the Hadoop distribution. Work that the clusters perform is known to include
2184-479: Is a collection of open-source software utilities for reliable, scalable, distributed computing . It provides a software framework for distributed storage and processing of big data using the MapReduce programming model . Hadoop was originally designed for computer clusters built from commodity hardware , which is still the common use. It has since also found use on clusters of higher-end hardware. All
2275-532: Is a reference to the mythical Norse god of thunder with the large hammer symbolic of crushing large amounts of raw data into useful information. A Thor cluster is similar in its function, execution environment, filesystem, and capabilities to the Google and Hadoop MapReduce platforms. Figure 2 shows a representation of a physical Thor processing cluster which functions as a batch job execution engine for scalable data-intensive computing applications. In addition to
2366-693: Is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis. Clients will often use this in combination with autoscaling (a process that allows a client to use more computing in times of high application usage, and then scale down to reduce costs when there is less traffic). These cloud computing web services provide various services related to networking, compute, storage, middleware , IoT and other processing capacity, as well as software tools via AWS server farms . This frees clients from managing, scaling, and patching hardware and operating systems. One of
2457-411: Is also known as the checkpoint Node. It is the helper Node for the Name Node. The secondary name node instructs the name node to create & send fsimage & editlog file, upon which the compacted fsimage file is created by the secondary name node. Job Tracker: Job Tracker receives the requests for Map Reduce execution from the client. Job tracker talks to the Name Node to know about the location of
2548-427: Is batch-oriented rather than real-time, is very data-intensive, and benefits from parallel processing . It can also be used to complement a real-time system, such as lambda architecture , Apache Storm , Flink , and Spark Streaming . Commercial applications of Hadoop include: On 19 February 2008, Yahoo! Inc. launched what they claimed was the world's largest Hadoop production application. The Yahoo! Search Webmap
2639-479: Is called Thor , a data refinery whose overall purpose is the general processing of massive volumes of raw data of any type for any purpose but typically used for data cleansing and hygiene, ETL ( extract, transform, load ) processing of the raw data, record linking and entity resolution, large-scale ad-hoc complex analytics, and creation of keyed data and indexes to support high-performance structured queries and data warehouse applications. The data refinery name Thor
2730-581: Is composed of the following modules: The term Hadoop is often used for both base modules and sub-modules and also the ecosystem , or collection of additional software packages that can be installed on top of or alongside Hadoop, such as Apache Pig , Apache Hive , Apache HBase , Apache Phoenix , Apache Spark , Apache ZooKeeper , Apache Impala , Apache Flume , Apache Sqoop , Apache Oozie , and Apache Storm . Apache Hadoop's MapReduce and HDFS components were inspired by Google papers on MapReduce and Google File System . The Hadoop framework itself
2821-409: Is data awareness between the job tracker and task tracker. The job tracker schedules map or reduce jobs to task trackers with an awareness of the data location. For example: if node A contains data (a, b, c) and node X contains data (x, y, z), the job tracker schedules node A to perform map or reduce tasks on (a, b, c) and node X would be scheduled to perform map or reduce tasks on (x, y, z). This reduces
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2912-583: Is designed for portability across various hardware platforms and for compatibility with a variety of underlying operating systems. The HDFS design introduces portability limitations that result in some performance bottlenecks, since the Java implementation cannot use features that are exclusive to the platform on which HDFS is running. Due to its widespread integration into enterprise-level infrastructure, monitoring HDFS performance at scale has become an increasingly important issue. Monitoring end-to-end performance requires tracking metrics from datanodes, namenodes, and
3003-526: Is developing ground stations to communicate with customers' satellites. In 2019, AWS reported 37% yearly growth and accounted for 12% of Amazon's revenue (up from 11% in 2018). In April 2021, AWS reported 32% yearly growth and accounted for 32% of $ 41.8 billion cloud market in Q1 2021. In January 2022, AWS joined the MACH Alliance , a non-profit enterprise technology advocacy group. In June 2022, it
3094-487: Is mostly written in the Java programming language , with some native code in C and command line utilities written as shell scripts . Though MapReduce Java code is common, any programming language can be used with Hadoop Streaming to implement the map and reduce parts of the user's program. Other projects in the Hadoop ecosystem expose richer user interfaces. According to its co-founders, Doug Cutting and Mike Cafarella ,
3185-406: Is one single namenode in Hadoop 2, Hadoop 3, enables having multiple name nodes, which solves the single point of failure problem. In Hadoop 3, there are containers working in principle of Docker , which reduces time spent on application development. One of the biggest changes is that Hadoop 3 decreases storage overhead with erasure coding . Also, Hadoop 3 permits usage of GPU hardware within
3276-447: Is the name of the rack, specifically the network switch where a worker node is. Hadoop applications can use this information to execute code on the node where the data is, and, failing that, on the same rack/switch to reduce backbone traffic. HDFS uses this method when replicating data for data redundancy across multiple racks. This approach reduces the impact of a rack power outage or switch failure; if any of these hardware failures occurs,
3367-621: The Hadoop Common package, which provides file system and operating system level abstractions, a MapReduce engine (either MapReduce/MR1 or YARN/MR2) and the Hadoop Distributed File System (HDFS). The Hadoop Common package contains the Java Archive (JAR) files and scripts needed to start Hadoop. For effective scheduling of work, every Hadoop-compatible file system should provide location awareness, which
3458-523: The Internet of Things . The most popular include Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (Amazon S3), Amazon Connect, and AWS Lambda (a serverless function that can perform arbitrary code written in any language that can be configured to be triggered by hundreds of events , including HTTP calls). Services expose functionality through APIs for clients to use in their applications. These APIs are accessed over HTTP, using
3549-518: The Java Runtime Environment (JRE) 1.6 or higher. The standard startup and shutdown scripts require that Secure Shell (SSH) be set up between nodes in the cluster. In a larger cluster, HDFS nodes are managed through a dedicated NameNode server to host the file system index, and a secondary NameNode that can generate snapshots of the namenode's memory structures, thereby preventing file-system corruption and loss of data. Similarly,
3640-583: The Middle East , one in Africa, and twelve in Asia Pacific . Most AWS regions are enabled by default for AWS accounts. Regions introduced after 20 March 2019 are considered to be opt-in regions, requiring a user to explicitly enable them in order for the region to be usable in the account. For opt-in regions, Identity and Access Management (IAM) resources such as users and roles are only propagated to
3731-528: The REST architectural style and SOAP protocol for older APIs and exclusively JSON for newer ones. Clients can interact with these APIs in various ways, including from the AWS console (a website), by using SDKs written in various languages (such as Python , Java , and JavaScript ), or by making direct REST calls. The genesis of AWS came in the early 2000s. After building Merchant.com , Amazon's e-commerce-as-a-service platform that offers third-party retailers
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3822-788: The AWS Snowcone, a small computing device, to the International Space Station on the Axiom Mission 1 . In September 2023, AWS announced it would become AI startup Anthropic 's primary cloud provider. Amazon has committed to investing up to $ 4 billion in Anthropic and will have a minority ownership position in the company. AWS also announced the GA of Amazon Bedrock, a fully managed service that makes foundation models (FMs) from leading AI companies available through
3913-570: The Amazon EC2 service, with a team in Cape Town , South Africa. In November 2004, AWS launched its first infrastructure service for public usage: Simple Queue Service (SQS). On March 14, 2006, AWS launched Amazon S3 cloud storage followed by EC2 in August 2006. Pi Corporation, a startup Paul Maritz co-founded, was the first beta-user of EC2 outside of Amazon, while Microsoft
4004-555: The ECL programming language for implementing applications, increasing continuity and programmer productivity. Figure 3 shows a representation of a physical Roxie processing cluster which functions as an online query execution engine for high-performance query and data warehousing applications. A Roxie cluster includes multiple nodes with server and worker processes for processing queries; an additional auxiliary component called an ESP server which provides interfaces for external client access to
4095-590: The JobTracker, while adding the ability to use an alternate scheduler (such as the Fair scheduler or the Capacity scheduler , described next). The fair scheduler was developed by Facebook . The goal of the fair scheduler is to provide fast response times for small jobs and Quality of service (QoS) for production jobs. The fair scheduler has three basic concepts. By default, jobs that are uncategorized go into
4186-477: The MapReduce engine in the first version of Hadoop. YARN strives to allocate resources to various applications effectively. It runs two daemons, which take care of two different tasks: the resource manager , which does job tracking and resource allocation to applications, the application master , which monitors progress of the execution. There are important features provided by Hadoop 3. For example, while there
4277-465: The TaskTracker to the JobTracker every few minutes to check its status. The Job Tracker and TaskTracker status and information is exposed by Jetty and can be viewed from a web browser. Known limitations of this approach are: By default Hadoop uses FIFO scheduling, and optionally 5 scheduling priorities to schedule jobs from a work queue. In version 0.19 the job scheduler was refactored out of
4368-643: The Thor master and slave nodes, additional auxiliary and common components are needed to implement a complete HPCC processing environment. The second of the parallel data processing platforms is called Roxie and functions as a rapid data delivery engine . This platform is designed as an online high-performance structured query and analysis platform or data warehouse delivering the parallel data access processing requirements of online applications through Web services interfaces supporting thousands of simultaneous queries and users with sub-second response times. Roxie utilizes
4459-865: The UK such as GCHQ , MI5 , MI6 , and the Ministry of Defence , have contracted AWS to host their classified materials. In 2022 Amazon shared a $ 9 billion contract from the United States Department of Defense for cloud computing with Google, Microsoft, and Oracle. Multiple financial services firms have shifted to AWS in some form. As of March 2024, AWS has distinct operations in 33 geographical "regions": eight in North America , one in South America , eight in Europe , three in
4550-773: The US East region; Pattern Development, in January 2015, to construct and operate Amazon Wind Farm Fowler Ridge ; Iberdrola Renewables , LLC, in July 2015, to construct and operate Amazon Wind Farm US East; EDP Renewables North America , in November 2015, to construct and operate Amazon Wind Farm US Central; and Tesla Motors , to apply battery storage technology to address power needs in the US West (Northern California) region. AWS also has "pop-up lofts" in different locations around
4641-541: The US using AWS services such as S3 and EC2 to build their businesses. The first edition saw participation from Justin.tv , which Amazon would later acquire in 2014. Ooyala , an online media company, was the eventual winner. Additional AWS services from this period include SimpleDB , Mechanical Turk , Elastic Block Store , Elastic Beanstalk , Relational Database Service , DynamoDB , CloudWatch , Simple Workflow, CloudFront , and Availability Zones. In November 2010, it
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#17327804947334732-409: The actual node where the data resides, priority is given to nodes in the same rack. This reduces network traffic on the main backbone network. If a TaskTracker fails or times out, that part of the job is rescheduled. The TaskTracker on each node spawns a separate Java virtual machine (JVM) process to prevent the TaskTracker itself from failing if the running job crashes its JVM. A heartbeat is sent from
4823-436: The amount of traffic that goes over the network and prevents unnecessary data transfer. When Hadoop is used with other file systems, this advantage is not always available. This can have a significant impact on job-completion times as demonstrated with data-intensive jobs. HDFS was designed for mostly immutable files and may not be suitable for systems requiring concurrent write operations. HDFS can be mounted directly with
4914-488: The atomic-level pieces of the Amazon.com platform". According to Brewster Kahle , co-founder of Alexa Internet , which was acquired by Amazon in 1999, his start-up's compute infrastructure helped Amazon solve its big data problems and later informed the innovations that underpinned AWS. Jassy assembled a founding team of 57 employees from a mix of engineering and business backgrounds to kick-start these initiatives, with
5005-597: The cluster, which is a very substantial benefit to execute deep learning algorithms on a Hadoop cluster. The HDFS is not restricted to MapReduce jobs. It can be used for other applications, many of which are under development at Apache. The list includes the HBase database, the Apache Mahout machine learning system, and the Apache Hive data warehouse . Theoretically, Hadoop could be used for any workload that
5096-481: The cluster; and additional common components which are shared with a Thor cluster in an HPCC environment. Although a Thor processing cluster can be implemented and used without a Roxie cluster, an HPCC environment which includes a Roxie cluster should also include a Thor cluster. The Thor cluster is used to build the distributed index files used by the Roxie cluster and to develop online queries which will be deployed with
5187-538: The data that will be used in processing. The Name Node responds with the metadata of the required processing data. Task Tracker: It is the Slave Node for the Job Tracker and it will take the task from the Job Tracker. It also receives code from the Job Tracker. Task Tracker will take the code and apply on the file. The process of applying that code on the file is known as Mapper. Hadoop cluster has nominally
5278-404: The data will remain available. A small Hadoop cluster includes a single master and multiple worker nodes. The master node consists of a Job Tracker, Task Tracker, NameNode, and DataNode. A slave or worker node acts as both a DataNode and TaskTracker, though it is possible to have data-only and compute-only worker nodes. These are normally used only in nonstandard applications. Hadoop requires
5369-435: The data, information that Hadoop-specific file system bridges can provide. In May 2011, the list of supported file systems bundled with Apache Hadoop were: A number of third-party file system bridges have also been written, none of which are currently in Hadoop distributions. However, some commercial distributions of Hadoop ship with an alternative file system as the default – specifically IBM and MapR . Atop
5460-430: The details of the number of blocks, locations of the data node that the data is stored in, where the replications are stored, and other details. The name node has direct contact with the client. Data Node: A Data Node stores data in it as blocks. This is also known as the slave node and it stores the actual data into HDFS which is responsible for the client to read and write. These are slave daemons. Every Data node sends
5551-486: The file systems comes the MapReduce Engine, which consists of one JobTracker , to which client applications submit MapReduce jobs. The JobTracker pushes work to available TaskTracker nodes in the cluster, striving to keep the work as close to the data as possible. With a rack-aware file system, the JobTracker knows which node contains the data, and which other machines are nearby. If the work cannot be hosted on
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#17327804947335642-448: The first set of infrastructure pieces that Amazon should launch. Jeff Barr, an early AWS employee, credits Vermeulen, Jassy, Bezos himself, and a few others for coming up with the idea that would evolve into EC2 , S3 , and RDS ; Jassy recalls the idea was the result of brainstorming for about a week with "ten of the best technology minds and ten of the best product management minds" on about ten different internet applications and
5733-607: The first time. Jassy was thereafter promoted to CEO of the division. Around the same time, Amazon experienced a 42% rise in stock value as a result of increased earnings, of which AWS contributed 56% to corporate profits. AWS had $ 17.46 billion in annual revenue in 2017. By the end of 2020, the number had grown to $ 46 billion. Reflecting the success of AWS, Jassy's annual compensation in 2017 hit nearly $ 36 million. In January 2018, Amazon launched an autoscaling service on AWS. In November 2018, AWS announced customized ARM cores for use in its servers. Also in November 2018, AWS
5824-510: The foundational services is Amazon Elastic Compute Cloud (EC2), which allows users to have at their disposal a virtual cluster of computers , with extremely high availability, which can be interacted with over the internet via REST APIs, a CLI or the AWS console. AWS's virtual computers emulate most of the attributes of a real computer, including hardware central processing units (CPUs) and graphics processing units (GPUs) for processing; local/ RAM memory; hard-disk (HDD)/ SSD storage ;
5915-571: The genesis of Hadoop was the Google File System paper that was published in October 2003. This paper spawned another one from Google – "MapReduce: Simplified Data Processing on Large Clusters". Development started on the Apache Nutch project, but was moved to the new Hadoop subproject in January 2006. Doug Cutting, who was working at Yahoo! at the time, named it after his son's toy elephant. The initial code that
6006-673: The holiday season , by migrating services to commodity Linux hardware and relying on open source software , Amazon's Infrastructure team, led by Tom Killalea, Amazon's first CISO , had already run its data centers and associated services in a "fast, reliable, cheap" way. In July 2002 Amazon.com Web Services, managed by Colin Bryar, launched its first web services , opening up the Amazon.com platform to all developers. Over one hundred applications were built on top of it by 2004. This unexpected developer interest took Amazon by surprise and convinced them that developers were "hungry for more". By
6097-453: The index calculations for the Yahoo! search engine. In June 2009, Yahoo! made the source code of its Hadoop version available to the open-source community. In 2010, Facebook claimed that they had the largest Hadoop cluster in the world with 21 PB of storage. In June 2012, they announced the data had grown to 100 PB and later that year they announced that the data was growing by roughly half
6188-408: The index files to the Roxie cluster. The HPCC software architecture incorporates the Thor and Roxie clusters as well as common middleware components, an external communications layer, client interfaces which provide both end-user services and system management tools, and auxiliary components to support monitoring and to facilitate loading and storing of filesystem data from external sources. Usually
6279-426: The main metadata server called the NameNode manually fail-over onto a backup. The project has also started developing automatic fail-overs . The HDFS file system includes a so-called secondary namenode , a misleading term that some might incorrectly interpret as a backup namenode when the primary namenode goes offline. In fact, the secondary namenode regularly connects with the primary namenode and builds snapshots of
6370-406: The modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in
6461-449: The most primitive building blocks required to build them. Werner Vogels cites Amazon's desire to make the process of "invent, launch, reinvent, relaunch, start over, rinse, repeat" as fast as it could was leading them to break down organizational structures with "two-pizza teams" and application structures with distributed systems ; and that these changes ultimately paved way for the formation of AWS and its mission "to expose all of
6552-411: The percentage of the time engineers spent building the software rather than doing other tasks. Amazon created "a shared IT platform" so its engineering organizations, which were spending 70% of their time on "undifferentiated heavy-lifting" such as IT and infrastructure problems, could focus on customer-facing innovation instead. Besides, in dealing with unusual peak traffic patterns, especially during
6643-807: The planned launch of six additional regions in Malaysia, Mexico, New Zealand, Thailand, Saudi Arabia, and the European Union. In mid March 2023, Amazon Web Services signed a cooperation agreement with the New Zealand Government to build large data centers in New Zealand. In 2014, AWS claimed its aim was to achieve 100% renewable energy usage in the future. In the United States, AWS's partnerships with renewable energy providers include Community Energy of Virginia, to support
6734-409: The primary namenode's directory information, which the system then saves to local or remote directories. These checkpointed images can be used to restart a failed primary namenode without having to replay the entire journal of file-system actions, then to edit the log to create an up-to-date directory structure. Because the namenode is the single point for storage and management of metadata, it can become
6825-409: The range of gigabytes to terabytes ) across multiple machines. It achieves reliability by replicating the data across multiple hosts, and hence theoretically does not require redundant array of independent disks (RAID) storage on hosts (but to increase input-output (I/O) performance some RAID configurations are still useful). With the default replication value, 3, data is stored on three nodes: two on
6916-441: The regions that are enabled. Each region is wholly contained within a single country and all of its data and services stay within the designated region. Each region has multiple "Availability Zones", which consist of one or more discrete data centers , each with redundant power , networking, and connectivity, housed in separate facilities. Availability Zones do not automatically provide additional scalability or redundancy within
7007-539: The same rack, and one on a different rack. Data nodes can talk to each other to rebalance data, to move copies around, and to keep the replication of data high. HDFS is not fully POSIX-compliant, because the requirements for a POSIX file-system differ from the target goals of a Hadoop application. The trade-off of not having a fully POSIX-compliant file-system is increased performance for data throughput and support for non-POSIX operations such as Append. In May 2012, high-availability capabilities were added to HDFS, letting
7098-461: The same way Slave services can communicate with each other. Name Node is a master node and Data node is its corresponding Slave node and can talk with each other. Name Node: HDFS consists of only one Name Node that is called the Master Node. The master node can track files, manage the file system and has the metadata of all of the stored data within it. In particular, the name node contains
7189-582: The subscriber requiring various degrees of availability , redundancy , security , and service options. Subscribers can pay for a single virtual AWS computer, a dedicated physical computer, or clusters of either. Amazon provides select portions of security for subscribers (e.g. physical security of the data centers) while other aspects of security are the responsibility of the subscriber (e.g. account management, vulnerability scanning, patching). AWS operates from many global geographical regions including seven in North America . Amazon markets AWS to subscribers as
7280-406: The success of their business with close collaboration and best practices. In January 2015, Amazon Web Services acquired Annapurna Labs , an Israel-based microelectronics company for a reported US$ 350–370M. In April 2015, Amazon.com reported AWS was profitable, with sales of $ 1.57 billion in the first quarter of the year and $ 265 million of operating income. Founder Jeff Bezos described it as
7371-429: The summer of 2003, Andy Jassy had taken over Bryar's portfolio at Rick Dalzell 's behest, after Vermeulen, who was Bezos' first pick, declined the offer. Jassy subsequently mapped out the vision for an "Internet OS " made up of foundational infrastructure primitives that alleviated key impediments to shipping software applications faster. By fall 2003, databases , storage , and compute were identified as
7462-440: The underlying operating system. There are currently several monitoring platforms to track HDFS performance, including Hortonworks , Cloudera , and Datadog . Hadoop works directly with any distributed file system that can be mounted by the underlying operating system by simply using a file:// URL; however, this comes at a price – the loss of locality. To reduce network traffic, Hadoop needs to know which servers are closest to
7553-644: The world. These market AWS to entrepreneurs and startups in different tech industries in a physical location. Visitors can work or relax inside the loft, or learn more about what they can do with AWS. In June 2014, AWS opened their first temporary pop-up loft in San Francisco . In May 2015 they expanded to New York City, and in September 2015 expanded to Berlin. AWS opened its fourth location, in Tel Aviv from March 1, 2016, to March 22, 2016. A pop-up loft
7644-452: Was among EC2's first enterprise customers. Later that year, SmugMug , one of the early AWS adopters, attributed savings of around US$ 400,000 in storage costs to S3. According to Vogels, S3 was built with 8 microservices when it launched in 2006, but had over 300 microservices by 2022. In September 2007, AWS announced its annual Start-up Challenge , a contest with prizes worth $ 100,000 for entrepreneurs and software developers based in
7735-458: Was completely standardized, completely automated, and would rely extensively on web services for services such as storage and would draw on internal work already underway. Near the end of their paper, they mentioned the possibility of selling access to virtual servers as a service, proposing the company could generate revenue from the new infrastructure investment. Thereafter Pinkham, Willem van Biljon , and lead developer Christopher Brown developed
7826-593: Was factored out of Nutch consisted of about 5,000 lines of code for HDFS and about 6,000 lines of code for MapReduce. In March 2006, Owen O'Malley was the first committer to add to the Hadoop project; Hadoop 0.1.0 was released in April 2006. It continues to evolve through contributions that are being made to the project. The first design document for the Hadoop Distributed File System was written by Dhruba Borthakur in 2007. Hadoop consists of
7917-655: Was held in Las Vegas because of its relatively cheaper connectivity with locations across the United States and the rest of the world. Andy Jassy and Werner Vogels presented keynotes, with Jeff Bezos joining Vogels for a fireside chat. AWS opened early registrations at US$ 1,099 per head for their customers from over 190 countries. On stage with Andy Jassy at the event which saw around 6000 attendees, Reed Hastings , CEO at Netflix , announced plans to migrate 100% of Netflix's infrastructure to AWS. To support industry-wide training and skills standardization, AWS began offering
8008-683: Was open in London from September 10 to October 29, 2015. The pop-up lofts in New York and San Francisco are indefinitely closed due to the COVID-19 pandemic while Tokyo has remained open in a limited capacity. In 2017, AWS launched AWS re/Start in the United Kingdom to help young adults and military veterans retrain in technology-related skills. In partnership with the Prince's Trust and
8099-469: Was reported that all of Amazon.com's retail sites had migrated to AWS. Prior to 2012, AWS was considered a part of Amazon.com and so its revenue was not delineated in Amazon financial statements. In that year industry watchers for the first time estimated AWS revenue to be over $ 1.5 billion. On November 27, 2012, AWS hosted its first major annual conference, re:Invent with a focus on AWS's partners and ecosystem, with over 150 sessions. The three-day event
8190-442: Was reported that in 2019 Capital One had not secured their AWS resources properly, and was subject to a data breach by a former AWS employee. The employee was convicted of hacking into the company's cloud servers to steal customer data and use computer power to mine cryptocurrency. The ex-employee was able to download the personal information of more than 100 million Capital One customers. In June 2022, AWS announced they had launched
8281-431: Was reported that more than 80% of Germany 's listed DAX companies use AWS. In August 2019, the U.S. Navy said it moved 72,000 users from six commands to an AWS cloud system as a first step toward pushing all of its data and analytics onto the cloud. In 2021, DISH Network announced it will develop and launch its 5G network on AWS. In October 2021, it was reported that spy agencies and government departments in
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