Pair IoT en Big data,,en,waardeur elke dag enorme hoeveelhede data genereer word,,en,Quintillion grepe van data word elke dag geproduseer,,en,Ondernemings moet toegerus wees om sulke groot volumes data te hanteer,,en,Om sodanige data volumes te verwerk,,en,ondernemings moet die data elke dag kan stoor en verwerk en nie toelaat dat onvoorsiene gebeure soos stelselafvalle die vloei onderbreek nie,,en,Hadoop kan groot hoeveelhede data doeltreffend stoor en verwerk,,en,sonder mislukking,,en,Daar is 'n aantal gebruiksgevalle om dit te demonstreer,,en,is die beste toegeruste hulpmiddel om die data wat deur onderling gekoppelde toestelle gegenereer word, te hanteer,,en,Opnames oor nywerhede toon dat ondernemings reeds op Hadoop staatmaak om beter te kry,,en,verbeter analitiese vermoëns en verbeter data pakhuise,,en,Wat is Hadoop,,en,Hadoop is 'n gratis,,en – How does it work?
Oorsig:
The Internet of Things (IOT) is the new reality that is going to penetrate into our lives. According to Gartner, the number of interconnected devices will increase to 6.4 billion in 2016, up by 30% from 2015, thus generating enormous volumes of data every day. In fact, nearly 2.5 quintillion bytes of data is produced every day. Enterprises need to be equipped to handle such huge volumes of data. To process such data volumes, enterprises need to be able to store and process the data every day and not allow unforeseen events such as system crashes interrupt the flow. Hadoop is capable of storing and processing huge volumes of data efficiently, without failure. There are a number of use cases to demonstrate that Hadoop is the best-equipped tool to handle the data generated from interconnected devices. Surveys across industries show that enterprises are already relying on Hadoop to obtain better analytics, improve analytical capabilities and augment data warehouses.
What is Hadoop?
Hadoop is a free Java-gebaseerde programmeringsraamwerk wat die stoor en verwerking van groot datastelle in 'n verspreide rekenaaromgewing ondersteun,,en,DCE,,en,Die opkoms van groot data het ernstige uitdagings voor die tradisionele rekenaarstelsels opgelê,,en,Groot data het een van die gewildste bates ondernemings geword,,en,Om waardevolle besigheids insigte te verkry en goeie besluite te neem,,en,maatskappye moet gereeld groeiende volumes van gestruktureerde bestuur,,en,Tradisionele rekenaarstelsels is nie ontwerp om sulke groot datastelle te hanteer nie,,en,Dit is waar,,en,kom in,,en,Kom ons dink aan Hadoop as 'n programmeringsraamwerk wat 'n groot aantal bedieners en ander verwante hulpbronne kan akkommodeer met elke bediener wat plaaslike bergings- en berekeningsvermoëns bied.,,en,Alle bedieners en hulpbronne is onderling verbind in 'n netwerk,,en,Hadoop raamwerk,,en (DCE). The emergence of big data has put serious challenges before the traditional computing systems. Big data has become one of the most valued assets enterprises have. To gain valuable business insights and make good decisions, companies have to regularly manage growing volumes of structured, semi-structured and unstructured data. Traditional computing systems are not designed to handle such large data-sets. This is where Hadoop comes in.
Let us think of Hadoop as a programming framework that can accommodate a large number of servers and other related resources with each server offering local storage and computation capabilities. All servers and resources are interconnected in a network. The Hadoop framework kan jy die aantal bedieners en verwante bronne op grond van vereistes opskaal,,en,aanvaar dat jy ten minste moet verwerk,,en,terabyte data elke dag en bied analise aan 'n groep bemarkingspersoneel wat die analise op verskeie klientrekenaars besigtig,,en,Hoe hanteer Hadoop so 'n enorme taakdag in dag uit met so doeltreffendheid,,en,Hadoop verdeel die hele taak oor die bedieners en hulpbronne wat ook bekend staan as clusters,,en,Die bedieners en ander bronne in 'n groep is ook bekend as nodusse,,en,Elke groep verwerk nou die data en gee die resultate na 'n meesterrekenaar,,en,Let daarop dat elke groep in staat is om 'n sagtewareprogram in dit te ontwikkel en te bestuur,,en,Die meesterrekenaar versamel die eindresultate van die groepe,,en. Now, assume that you need to process at least 1000 terabytes of data every day and offer analytics to a group of marketing personnel who view the analytics on multiple client computers. How does Hadoop handle such an enormous task day in day out with such efficiency?
Hadoop divides the entire task across the servers and resources which are also known as clusters. The servers and other resources in a cluster are also known as nodes. Each cluster now processes the data and returns the results to a master computer. Note that each cluster is capable of developing and running a software application in it. The master computer collects the end results from the clusters, omskep dit in leesbare formaat en bied as analitiese aan besigheids gebruikers,,en,Hadoop argitektuur,,en,bestaan uit vier modules waarvan elkeen 'n spesifieke rol speel in die verwerking van groot data,,en,Die name van die modules is,,en,en algemene nutsprogramme,,en,Wat is HDFS,,en,Impak en toepassings van Hadoop in die Nywerheid,,en,Dit is bekend dat MapReduce en die Hadoop Distributed File System,,en,is die mees gebruikte Business Intelligence en Data Warehousing gereedskap,,en,Statistieke toon dat groot data verkryging en gevorderde analise twee van die gebiede is wat die meeste voordeel trek,,en,Dit word verwag omdat die buigsame berging,,en,rekenkrag en Java-gebaseerde platform laat Hadoop toe om hoë volume data op te slaan en te verwerk en met enige platform te integreer om analise te lewer,,en.
The Hadoop architecture comprises four modules each of which plays a specific role in the processing of big data. The names of the modules are MapReduce, HDFS, Yarn and Common Utilities.
Impact and applications of Hadoop in the Industry
It is known that MapReduce and the Hadoop Distributed File System (HDFS) are the most commonly used Business Intelligence and Data Warehousing tools.
Statistics shows that big data sourcing and advanced analytics are two of the areas that benefit most from Hadoop. This is expected because the flexible storage, computation power and Java-based platform enable Hadoop to store and process high volume of data and integrate with any platform to deliver analytics.
Hadoop se invloed kan oor nywerhede strek wat koste kan sny,,en,verbeter doeltreffendheid,,en,data doeltreffend te gebruik en mense se lewens positief te beïnvloed,,en,onder baie ander dinge,,en,Wat is IoT,,en,Die IOT is 'n konsep waarvolgens alle toestelle - verkeersligte,,en,horlosies,,en,yskaste,,en,lugversorgers of enigiets waaraan jy kan dink - sal via 'n IP-adres aan die internet gekoppel word en data met ander toestelle kan uitruil,,en,Hoe werk IoT,,en,Daar is miljoene gebruiksgevalle om te wys hoe dit werk, maar laat ons dit van die parkeerplekprobleem neem,,en,U neem Sondag aand u gesin uit vir aandete en u weet dat die beskikbare parkeerplekke naby die restaurant moontlik onder geweldige druk sal wees,,en, improve efficiency, utilize data efficiently and influence people’s lives positively, among many other things.
Must read – The Escalating Scope of Big Data Analytics
What is IoT?
The IoT is a concept according to which all devices — traffic lights, watches, fridges, televisions, air conditioners or anything that you can think of — will be connected to the Internet via an IP address and can exchange data with other devices.
How does IoT work? There are millions of use cases to show how it works but let us take that of the parking space problem. You are taking your family out for dinner on Sunday night and you know that the available parking spaces close to the restaurant are possibly going to be under immense pressure. Jy wil die naaste beskikbare parkeerplek opspoor en dit bespreek sonder om rond te loop om 'n parkeerplek te soek,,en,jou motor het 'n toestel wat met 'n sensor gemonteer is,,en,Die toestel gebruik die GPS om met sensors by al die parkeerplekke naby die restaurant waarheen jy gaan, te skakel,,en,U motor ontvang data oor die beskikbare parkeerplekke naby die restaurant en u bespreek die mees gerieflike een aanlyn,,en,Dit is hoe gerieflik IoT kan kry,,en,Interessante storie,,en,Die koppeling van Hadoop en IoT,,en,Die IOT lyk inderdaad vol beloftes, maar dit is belangrik om te weet hoe om sy volle potensiaal te benut,,en,Terwyl die aantal onderling gekoppelde toestelle toeneem,,en,die volume data sal monumentale verhoudings neem,,en. Now, your car has a device fitted with a sensor. The device uses the GPS to interact with sensors at all parking spaces close to the restaurant you are going to. Your car receives data about the vacant parking spaces available close to the restaurant and you book the most convenient one online. That is how convenient IoT can get.
Interesting story – Big Data: A Big Bad Data or a Game Changer
The pairing of Hadoop and IoT
The IoT indeed appears to be full of promises but it is important to know the way to leverage its full potential. While the number of interconnected devices increases, the volume of data is going to take monumental proportions. Daar is reeds opgemerk dat tradisionele rekenaarstelsels nie sulke volumes data kan stoor of verwerk nie,,en,Kenners glo dat ondernemings die volle voordele van die IOT-verskynsel kan haal deur Hadoop met IoT te koppel,,en,Die belangrikste redes waarom Hadoop die beste geskik is om met IoT te werk, word hieronder gegee,,en,Hadoop is in staat om enige volumes data te stoor en te verwerk,,en,Dit kan toeneem op grond van stygende datavolumes,,en,Geen risiko vir prestasieprobleme of werkstop as gevolg van onvoorsiene gebeure nie, omdat die werk oor kluste verdeel word,,en,Selfs as 'n knoop ineenstort of probleme ondervind,,en,dit word nie 'n showstopper nie,,en,Uit die oogpunt van besigheids kontinuïteit,,en,niks kan meer wenslik wees nie,,en,Hadoop is 'n oop bron,,en,Java-gebaseerde raamwerk,,en,is verenigbaar met alle platforms,,en. Experts believe that enterprises can reap full benefits from the IoT phenomenon by pairing Hadoop with IoT. The main reasons Hadoop is best suited to work with IoT are given below:
- Hadoop is capable of storing and processing any volumes of data. It can scale up based on rising data volumes.
- No risk of performance issues or work stoppage because of unforeseen events because the work is divided across clusters. Even if a node crashes or experiences issues, it does not become a showstopper. From the perspective of business continuity, nothing can be more desirable.
- Hadoop being an open source, Java-based framework, is compatible with all platforms.
- Geen afhanklikheid van hardeware om fouttoleransie en hoë beskikbaarheid te verskaf nie,,en,FTHA,,el,Hadoop het 'n biblioteek in die Common Utilities-module wat toepassingslaagfoute kan opspoor en voorkom,,en,Alle groot data artikels,,en,Daar is geen beter alternatief as die Hadoop-IoT-koppeling in sig vir die doeltreffende berging en verwerking van groot data nie,,en,Dit moet opgemerk word dat beide IoT en Hadoop in hul vroeë stadiums van aanneming deur die bedryf is,,en,Daar is 'n paar hype rondom beide konsepte,,en,Soos die stof gaan lê,,en,Die ondernemings sal meer leer oor Hadoop-IoT-koppeling en die maniere om die data beter te verwerk,,en,techalpine.com/pairing-of-iot-and-hadoop,,en (FTHA). Hadoop has a library in the Common Utilities module that can detect and prevent application layer failures.
Must read – Why Apache Spark is the future platform for big data?
Explore – All Big data articles
Summary
Right now, there is no better alternative than the Hadoop-IoT pairing in sight for the efficient storage and processing of big data. However, it needs to be noted that both IoT and Hadoop are in their early stages of adoption by the industry. There is some hype around both concepts. As the dust settles down, the enterprises will learn more about Hadoop-IoT pairing and the ways to better process the data.
