To cluster the dataset of trajectories using python and Mapreduce. An algorithm has already been developed using python. I need help with running the experiments again on cloud using MapReduce/Spark.
For a personal project I ...distributed file systems, these are Hadoop, Gluster and Moose but it's not a compulsory. For the benchmarks I'll need to run basic operations such as read/write, video streaming/ mapreduce/ nosql jobs. Details can be discussed together. I can also take assistance over existing tools if there are some for these file systems.
Hello Freelancers, Kindly find all the projects info ...projects info in the ATTACHED description. This is for aprox $50UAUD and has deadline at 19 January. If you are familiar with the Hadoop platform then we can implement this in Java, Scala or Python I am familiar with all 3 so you can choose the one you feel more confident about. Happy Biding :)
I'd like some help in getting twitter data(uber reviews) using flume and storing it in hdfs. The tweets need to be broken down into positive,...and storing it in hdfs. The tweets need to be broken down into positive, negative and unknown words. The data must be presented in graph or charts. The coding must be done in java. Message me for more details.
...have min 2+ years working knowledge on below skill, Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. • Experience with Spark, Hadoop, MapReduce, HDFS. • Knowledge of various ETL techniques and frameworks, such a...
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
...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 k in a single iteration: k =60, k= 80 and k=100. 4. Submit your Java file/ other format of programming file with comments
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 [登录来查看链接] 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.
...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 required
...and Batch using tools/frameworks like kafka, Kinesis, DMS, Data Pipeline etc. 3. Write ETL processes using various tools/ frameworks like Spark, Storm, Talend, Glue, etc in Java/Python/Scala 4. Integrate with different databases like Hadoop ecosystem (like Hive, Impala, HBase, etc.), Redshift etc. 5. Setup data lake on S3 or similar storage services
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
l(hybridation entre l'algorithme MapReduce et l'un des algorithmes du système immunitaire afin de sécurisé les données en temps réel