Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
I have two codes (PSO on cloudsim) and ( mapreduce on cloudsimex) I want to join the 2 codes, I mean I want to make PSO parallel using MapReduce . The theory says that PSO must update its gbest from all Mapreduce mappers
Write and execute a MapReduce program to figure out the top 100 trending songs from the stream data, on a daily basis, for the week December 25-31. Although this is a real-time streaming problem, you may use all the data till the ( n − 1 ) th day to calculate your output for the n th day, i.e. you may consider all the stream data till 24 December
A 2-d data with 100,000 instances is provided. You can code it with any programming language you prefer. Basic Tasks: 1. Describe how you implement the K-means using Mapreduce and what problems you’ve encounter. 2. Run the algorithm in a single iteration with different number of k: k =60, k= 80 and k=100. 3. Report the execution time with different
A 2-d data with 100,000 instances is provided. Using K means Map Reduce in Hadoop with Python, Write the code in python to do below steps Run the K means algorithm in a single iteration with a different number of k: k =60, k= 80 and k=100. Report the execution time with different k in a single iteration: k =60, k= 80 and k=100. Run the algorithm with 30 iterations with a k= 100. Report the res...
Parallel K-means Clustering of remote Sensing Images based on MapReduce
You are supposed to do online research and find out one case study where MapReduce was used to solve a particular problem. I am expecting 4-5 page write-up. Please provide as much technical details as possible about solution through MapReduce. I am expecting maximum one page for business problem and 3 pages of technical solution. I want research and
Implement a Kmeans algorithm using MapReduce to cluster the provided data set. A 2-d data with 100,000 instances is provided. You can code it with any programming language you prefer. Basic Tasks: 1. Describe how you implement the K-means using Mapreduce and what problems you’ve encounter. 2. Run the algorithm in a single iteration with different
Need a female proxy with good knowledge of hadoop ecosystem such as hive, mapreduce, hdfs, hbase. should know spark [login to view URL] that would be good to know - java, scala, python. knowledge of ETL processes are a plus
Hi Pranay, I have a project for you requiring mongoDB and Hadoop (MapReduce). I have a dataset. For mongoDb, I need you to write just three queries and for MapReduce, I need JSON pseudocode. Its pretty straightforward, let me know if you are interested, you can make quick money. We can discuss the budget.
I have a dataset and I need two MapReduce solutions for this. For instance, calculating the number of occurrences of words in tweets. Additionally, I need a pseudocode(JSON) or flowchart for this. No need for implementation or actual programming. I will discuss more in detail about the requirements when I hire you. Its pretty simple - just two solutions
...years of Hands-on experience on Big data tools and frameworks. Experience on Hadoop ecosystem, integrating and implementing solutions using technologies like - Hive, Pig, Mapreduce, HDFS etc. 2. Should have a proficient understanding of distributed computing paradigm and realtime processing vs batch processing paradigm. 3. Should be proficient in designing
I want a code with proper explanation to classify the dataset using svm in distributed environment of map reduce.
Given a directed graph and a number k, compute the number of cycles with length k. A cycle is a path with the same source and target node, and it does not contain smaller cycles. For example, in the below graph, 0->1->3->4->0 is a cycle with length 4, but 2->3->4->3->2 is not a cycle with length 4, since 2->3->2 and 3->4->3 are also cycles in the path. See in fi...
Understanding Mapreduce arch to create necessary algorithms or use exists for structuring text into a knowledge base structure. Further use new structure data to develop its graphical structure in real time-visual representation to vindicate and ensure its output values.
My project consist To the security of big data by mixing(hybridize) the work of mapreduce algorithm and one of the immunue system algorithm(for exemple the negative selection) the first algorithm is responsable To data processing or traitement and the second one the immunue system for detecting abnomaly
...The course must cover all (but not limited to ) the following topics: 3.1 Introduction to Big data & Hadoop 3.2 Hadoop Architecture & HDFS 3.3 Hadoop mapreduce Framework 3.4 Advanced Hadoop mapreduce Framework 3.5 Apache Pig 3.6 Apache Hive 3.7 HBase 3.8 Advanced topics of 3.5,3.6,3.7 3.9 Distributed data with Apache Spark 3.10 Hadoop project with
I need you to develop some software for me. I would like this software to be developed.
Hello I am looking for strong team of freelancers (either individual or group) for following technology stack - Python Machine Learning Big Data & Hadoop (Hive,Pig,Spark,mapreduce,Flink,Hbase,Cassandra, sqoop,oozie) Scala AWS services (EC2,EMR,Lambda,Connect,Cloudwatch,S3) Deep Learning R Programming If you are expert of any or all(which will be great)
...- Extensive experience in writing HDFS & Pig Latin commands. - Develop complex queries using HIVE. - Work on new developments on Hadoop using hive, hbase, Impala, flume, MapReduce, HDFS, Oozie, hive, Kafka, sqoop, java and shell scripts. - Develop data pipeline using Flume, Sqoop, Pig and Java map reduce to ingest claim data and financial histories
...the aired shows on ZOO,NOX, ABC channels ? Lab Environment: You need to have Hadoop setup in order to perform this project. The above problem has to be solved using either MapReduce or Hive or Pig programming constructs and codes should be shared. Please find attached files as the input data sets and provide solution to the given...
hi I need to take data from Db and display records on [login to view URL] data is very huge ,so i need to implement using big data.I want to use hive,impala,spark,HDFS,mapreduce to achieve this. The records can be drilled down to further to show more results on screen. For eg: Hyundai 1232 5767 vrerere 12132 elantra Accent
I need you to develop some software for me. I would like this software to be developed . mapreduce challenges... Chose one challenge and need to give an innovative idea how to resolve it through which techniques
find any dataset Twitter , e-commerce , e-Health ... extract and store the data in Hadoop process the data in Hadoop , restructure and filter ...Twitter , e-commerce , e-Health ... extract and store the data in Hadoop process the data in Hadoop , restructure and filter do sentiment analysis use hadoop tool HDFS, MapReduce or any other tool
...Utilisation of a MapReduce environment for some part of the analysis 2. Source dataset(s) should be stored in appropriate database(s) prior to processing by MapReduce 3. Post-MapReduce processing dataset(s) should be stored in appropriate database(s) 4. Programmatically accessing the MapReduce source data 5. Programmatically storing the MapReduce output
Input is a large text file and a set of word and output should be the number of occurrence of each word. The code should be executable In Amazon cloud .
...one or more application framework: Spring, Akka, Play (Scala) Nice to have: - Experience in building scalable, reliable, distributed JVM & Linux-based systems - Hadoop MapReduce - Spark - Kafka - NoSQL Databases - Python - Experience with GIS, Geographical Data and Toolkits such as JTS, ArcGIS, QGIS, OpenJump The developers must match the
I need you to develop some software for me. I would like this software to be developed for Mac using Java. - Development experience on Hadoop - Hive , Oozie , MapReduce , Sqoop. - Development experience in Teradata - Experience with design and development of ETL processes - Should be proficient in writing Advanced SQLs and expertise in performance
...this problem by developing a data partitioning approach called FiDoop-DP using the MapReduce programming model. The overarching goal of FiDoop-DP is to boost the performance of parallel Frequent Itemset Mining on Hadoop clusters. At the heart of FiDoopDP does MapReduce job, which exploits correlations among transactions. Incorporating the similarity
Implement data analytics processing algorithms on big data batch and stream processing frameworks (e.g. Hadoop MapReduce, Python,Spark, Kafka etc.). Design and implement real-time integration and data driven customer personalization using an API driven big data platform solution (SOAP, REST). Design and develop data integration solutions (batch and
research about mapreduce challenge and innovative implementation how to resolve it through which techniques