Mapreduce punët

Hello I want to hire professional freelancer for my project Thank You

I will provide more details the job needs to write coding in java and work in Hadoop

Helping with java code to implement MapReduce program using maven project in eclipse more details will provide later Deliverables Maven project has Map class Reduce class Main class any classes for clustering in the MapReduce project plot clusters in different colors the hadoop command must be hadoop jar package name /input /output numer_cluster

looking for a freelancer who has good knowledge in theory and practical part of data science, especially Spark Runtime and RDD, Pair RDD, DataFrame and SparkSQL Hadoop, MapReduce

Hello, Want to hire MapReduce and Hadoop Expert for only 1 task More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert for only 1 task More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

Hello, Want to hire MapReduce and Hadoop Expert More details via chat Thank You

looking for someone who can help me in developing MapReduce programs to understand the complexity of MapReduce programming. It is the basic version of word count. You should use Java to develop MapReduce program.

looking for someone who can help me in developing MapReduce programs to understand the complexity of MapReduce programming. It is the basic version of word count. You should use Java to develop MapReduce program.

Perform Market basket Analysis on big data using Apriori or PCY algorithm. The code should be distributed in nature and written using Hadoop MapReduce and implementation of MRJob library is mandatory.

Research report of Hadoop Mapreduce using Ubuntu and Virtualbox with Python Write a research report about the results of the analysis done in Python. The report should be 6 to 8 pages in length (including figures and references), and must follow the IEEE format in addition to be employing appropriate referencing methods and academic writing style. Free of plagiarism. Code implementation has already been done, so it is write a research report following results of docs uploaded. It is about Crimes in Boston, 2018 and 2019 especially.

I have a code in java using MapReduce and I want to do changes in the code to get an output format. I also have a txt file that have all the data that the code will be processing. Another assignment is converting all the UPPERCASE letters in the code into LOWERCASE letters.

Enhancing MapReduce Performance through Distributed Cache

You are required to programmatically acquire and perform association rules mining using MapReduce. The MapReduce processing must be oriented towards extracting at least three interesting insights into the datasets Programming language will be Python using Jupyter Notebook Tools: Virtualbox, Hadoop, Eclipse and Ubuntu Processing It should be large enough to warrant the use of a scalable distributed computing approach. Where possible you should extract the data directly from the source and place the data into your own block or blob storage Datasets: Crimes in Boston: 2017 and 2018

Major topics : Mapreduce (java) HADOOP AND HDFS HIVE AND HQL CONCEPTUAL MODEL AND LOGICAL MODEL (NOTATIONS AS IN NOTES) ETL,HBASE,PIG,SPARK

MapReduce --> help with simple python mappers and reducers called by Unix script. Deliverables Make end to end process work.

Person should be good with programming in data analytics/big data analytics. Should be fluent in using R/Hadoop/Pig/MongoDB/Mapreduce ONLY TAKE THIS PROJECT IF YOU ARE PROFICIENT IN THE ABOVE MENTIONED LANGUAGE. Task is very simple- Will have to write a 10 line code on a question prompt provided within 20 minutes. Time and Date and topic will be provided in advance. IF ERROR FREE CODE IS NOT PROVIDED IN THE GIVEN TIME FRAME WILL CONSIDER PROJECT INCOMPLETE Have to this 5 times. The topics will be- Programs in R basics Predictive analytics using R Map reduce using Hadoop Pig MongoDb

Buscamos perfil profesional para desempeñarse como Ingeniero de Datos modalidad Freelance para proyecto en el rubro Minería. Excluyente experiencia de sobre 2 años como Desarrollador: Big Data Azure, Hadoop, MapReduce, Spark, Hive, Synapse Analytic, Python (o SCADA)

I have hadoop jobs alredy in place. I want them to organize if requierd split into 2 jobs. Job does a simple task of reading csv file and provide aggregated information

Hi , I have a csv file . I require it to get processed using hadoop mapreduce, Its simple task , to calculate the count and percentage based on row value Please bid if you have experience. I alread have the setup on bigdata , i just need some one who can write code for mapreduce Thanks

...infrastructure on AWS EC2 or Amazon EMR Deploy new Hadoop clusters on public cloud services such as Amazon Web Services and to expand existing environments. Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users. Perform automated migration of Hadoop cluster from one region to the other. Performance tuning of Hadoop clusters and Hadoop MapReduce routines. Screen Hadoop cluster job performances and capacity planning Monitor Hadoop cluster connectivity and security. Manage and review Hadoop log files. File system management and monitoring. Diligently teaming with the infrastructure, network, database, application and business...

I have a set of csv files. I have to upload those in Hadoop and access few scenarios alone through hive,pig,mapreduce and hbase.

Description of topic and conditions Student project In this project we are called to use docker (local not necessarily in a cloud, of our choice) and implement a taxi data processing system of streaming data from New York City using serverless and MapReduce and programming language of our choice. Comments: In the pdf file you can find more helpful links and a link with github implementation in python with mapReduce so it will need a few changes logically if done in python which is recomended. The other option is it to do it in Java. Note 1: We also need a 4-6 pages report .pdf file with the installation step by step as well as some statistics on how it rans.(How fast etc). Note 2: The deadline is 1/6/2021 Note 3: The dataSet needed is in a link because it is quite large ...

Big Data - MapReduce Task needs to be done in 36 Hours

Hello, I need help for my Big Data exam preparation. Here are the main topics: MapReduce and HDFS ApacheSpark and Dask Supervised Classification Recommender Systems Clustering Frequent itemsets Similarity search Data Streams Graph Analysis If some topics are not familiar i will be able to send class slides.

Hi Sandeep, I am Prashant Gupta, very interested to make a good career with your esteemed organ...Gupta, very interested to make a good career with your esteemed organization. Below are my brief details for your consideration. Experience: 6+ years of overall IT experience and 3.4 years Hands on experience as a Big Data Hadoop Administrator in MapR and Hortonworks Distribution. Current Company: TCS Pvt. Ltd., Bangalore Current Role : I.T. Analyst Proficient-in: Hadoop, HDFS, Hive, Pig, Mapreduce, Oozie, Sqoop, Hbase, Ranger, Kerberos, MySql, Nifi. Qualification: BE, ECE(2013) with 64.% Current Location : Bangalore Please consider my application for this suitable opportunity in Hadoop Admin. Thanks & Regards, Prashant Gupta Mobile: (+91) 9406842909 Email: @

Develop cloud services applications follow are possible topics • Computation area: o MapReduce framework o Spark o Peer-to-Peer systems o Load balancing in Networks of Workstations (NOWs) o Thread scheduling o Congestion and deadlock detection, and multicast in interconnection networks o Dynamic/adaptive scheduling in heterogeneous environments o Resource management in datacenters • Storage area: o Content delivery networks o Networked/Distributed File Systems o Shared states/files in distributed systems o Caching and sharing in Peer-to-Peer systems

Hi Diwakar, I noticed your profile, I'm looking for someone to work on Big Data project- should be good at Hadoop, MapReduce Let me know if we can chat

Big data analytics, 3 questions to be answered Q1 - related to Porter's Stemming Algorithm. Q2 - term document matrix, inverse document frequency, tf-idf matrix. Q3 - MapReduce (key, value) Questions will be submitted to short listed candidates for review. Deadline = Completed less than 1-day = $20.

I need a java code to be run on Hadoop MR1 and MR2 .. read a csv file -- write output partitioned by country and date and number of products count

I have a small task in Hadoop, MapReduce and Python Programming and an expert needed to work on it. Please place your bids. I'm willing to pay $30 for this task.

Hadoop, Python and MapReduce

I have a small task in Hadoop, MapReduce and Python Programming and an expert needed to work on it. Please place your bids. I'm willing to pay $30 for this task.

I have a small task in Hadoop, MapReduce and Python Programming and an expert needed to work on it. Please place your bids. I'm willing to pay $30 for this task.

I have a small project in Python MapReduce. Need it done asap. Would like to pay $25 AUD. Please place your bids.

Must be familiar with the following conc...recovery • Understand the use of locking and the problem of deadlock • Learn the difference between optimistic and pessimistic locking • Learn the basic concepts of data warehouses and data marts • Learn the basic concepts of business intelligence (B I) systems • Learn the basic concepts of online analytical processing (O L A P) • Learn the basic concepts of Big Data, structured storage, and the MapReduce process • Use Advanced SQL statements • Learn the basic concepts of reporting systems • Learn the basic concepts of data mining • Learn the basic concepts of Big Data • Use XML schemas, XPath and XQuery • Learn the basic concepts of key-value NoSQL databases • JSON Presen...

Must be familiar with the following conc...recovery • Understand the use of locking and the problem of deadlock • Learn the difference between optimistic and pessimistic locking • Learn the basic concepts of data warehouses and data marts • Learn the basic concepts of business intelligence (B I) systems • Learn the basic concepts of online analytical processing (O L A P) • Learn the basic concepts of Big Data, structured storage, and the MapReduce process • Use Advanced SQL statements • Learn the basic concepts of reporting systems • Learn the basic concepts of data mining • Learn the basic concepts of Big Data • Use XML schemas, XPath and XQuery • Learn the basic concepts of key-value NoSQL databases • JSON Presen...

Hey, I need to get help in doing tasks regarding Hadoop, MapReduce, Mongodb etc_can you help me doing these tasks

Hello I need your help in doing tasks regarding Hadoop, MapReduce, Mongodb etc_can you help doing this tasks with me

Hi Amr, I need your help in doing tasks regarding Hadoop, MapReduce, Mongodb etc_can you help doing the tasks together

...above, then it is not an item location, and should not be considered. Your task for this project is to create a MapReduce job (either through vanilla MapReduce, or hadoop streaming with python) that will take the name of an item (such as "Bow" or "Lamp") and return the top 10 locations in which that item appears throughout all the spoiler files, along with the number of times it appears in each of those 10 locations. The item name should be part of the arguments passed to the job. The files are in JSON format, so you will either need to get a way to read JSON in a MapReduce job, or simply read the relevant lines from each file (they will be...

...items, Count (A, B)=# of transactions contains both A and B, and the conditional probability Prob(B|A)=Count(A,B)/Count(A). b. The co-occurrences of each triple of items, Count (A,B,C) =# of transactions contains both A and B, and the conditional probability Prob(A|B,C)=Count(A,B,C)/Count(B,C) c. You need implement both the “stripes” approach and the “pair” approach om Hadoop (See slides on MapReduce Algorithm Design and Chapter 3 in Jimmy Lin's textbook). Both stripes and pairs need to be generalized to b. d. For b, you can assume that the count of pairs are already computed in step and you need to reuse their results (read from the result file produced by step a). The sample datasets can be found at: 2. Revising your algorithms (in 1) to coun...

Hadoop/MapReduce and Product is Amazon EMR