Mapreduce trabalhos

Entrada: tupla (id,termo) em que "id" é o identificador do documento e "termo" é uma palavra do texto já pré-processada. (Pseudocod/Python/PySpark/Spark)

Desenvolvimento de algoritmo. sobre MapReduce, utilizando Pyspark/Spark...

...datos<br /><br /><strong>MapReduce</strong><br />¿Qué es MapReduce?<br />Conceptos básicos de MapReduce<br />Arquitectura del clúster YARN<br />Asignación de Recursos<br />Recuperación ante fallos<br />Empleo de YARN Web UI<br />MapReduce Versión 1<br /><br /><strong>Planificación de un cluster Hadoop</strong><br />Consideraciones generales de planificación<br />Elección correcta de Hardware<br />Consideraciones de red<br />Configuración de nodos<br />Planificación de la administración del clúster<br /><br ...

...Boot and a working understanding of Hadoop (MapReduce). You will be involved in building and optimizing data-driven applications, integrating distributed data processing with modern Java frameworks. Key Responsibilities Design and develop backend components using Java & Spring Boot Implement data-processing workflows using Hadoop (MapReduce) Create and manage JPA entity classes, relationships, and database transactions Apply dependency injection, manage application scopes, and optimize performance Collaborate with frontend and data-engineering teams to deliver scalable solutions Required Skills Strong proficiency in Core Java and Object-Oriented Design Hands-on with JPA / Hibernate / Spring Data JPA Good knowledge of Hadoop / MapReduce / HDFS concepts ...

...distributed, fault-tolerant storage (not just normal databases). Options: HDFS (Hadoop Distributed File System) – stores data across many machines. NoSQL Databases – MongoDB, Cassandra, HBase. Cloud Storage – AWS S3, Google Cloud Storage, Azure Data Lake. --- 3. Data Processing Once stored, data must be processed (batch or real-time). Batch Processing (large chunks at once): Hadoop MapReduce Apache Spark (faster, in-memory processing) Stream Processing (real-time, continuous): Apache Kafka + Spark Streaming Apache Flink / Storm --- 4. Data Analysis Use algorithms & ML to extract insights. Tools: Apache Spark MLlib (machine learning) R / Python (Pandas, Scikit-learn, TensorFlow, PyTorch) SQL-on-Big-Data engines (Hive, Presto, Impala...

I have a CSV file containing sales data, with a size between 1-10 GB. I need a skilled data engineer to ingest this data i...1-10 GB. I need a skilled data engineer to ingest this data into RDS, clean it, and load it into HBase using Apache Sqoop. Ultimately, the cleaned data will be analyzed using MapReduce on HBase. Key tasks: - Ingest CSV data into RDS - Clean the data - Load cleaned data into HBase using Apache Sqoop - Conduct analysis using MapReduce on HBase The data cleaning process will involve: - Removing duplicates - Handling missing values - Fixing formatting inconsistencies The ideal freelancer for this project should have: - Proficiency in data engineering and management - Experience with RDS, HBase, Apache Sqoop and MapReduce - Strong skills in data cl...

I need someone to handle the processing and analysis of my sales team performance data. The data is currently stored in CSV files and I need it loaded into Amazon RDS, specifically a MySQL ins...and I need it loaded into Amazon RDS, specifically a MySQL instance. Tasks include: - Loading the CSV data into Amazon RDS - Cleaning the data by removing duplicates, handling missing/null values and standardizing formats - Loading the cleaned data into HBase using Apache Sqoop - Performing analysis using MapReduce Ideal skills for this project are: - Proficient in MySQL - Experienced in data cleaning and processing - Familiar with HBase and Apache Sqoop - Competent in using MapReduce for data analysis I am looking for a professional who can deliver high-quality work and has a kee...

I need assistance with managing a product dataset contained in a CSV file. The tasks include: - Uploading the CSV dataset into AWS RDS using a provided schema. - Data cleaning, which involves removing null values and duplicate entries...assistance with managing a product dataset contained in a CSV file. The tasks include: - Uploading the CSV dataset into AWS RDS using a provided schema. - Data cleaning, which involves removing null values and duplicate entries. - Transferring the cleaned data to HBase using Apache Sqoop. - Conducting trend analysis on the dataset using MapReduce. Ideal candidates for this project should have strong experience with AWS RDS, data cleaning, Apache Sqoop, HBase, and MapReduce. Please note that no additional data cleaning is required beyond the...

I'm looking for a skilled data engineer to assist with my dataset. Key Tasks: - Upload and structure a CSV dataset (1GB to 10GB) ...and structure a CSV dataset (1GB to 10GB) in AWS RDS - Move the data into HBase using Apache Sqoop - Clean the data, which involves handling missing values, removing duplicates, and standardizing formats - Use MapReduce to process and analyze sales trends, store and vendor performance, and category breakdowns - Deliver clear insights to guide sales, marketing, and vendor strategies Ideal Skills and Experience: - Proficiency in AWS services, specifically RDS - Experience with Apache Sqoop and HBase - Strong data cleaning and preparation skills - Familiarity with MapReduce for data analysis - Ability to interpret data and deliv...

...Use Apache Sqoop to move the data from RDS to HBase, and design a clean, scalable schema for HBase. Make sure the data is accurate and consistent in both systems. Cleaning Things Up Get rid of missing, incomplete, or broken records. Standardize formats across fields (especially dates, categories, etc.). Deduplicate entries to keep the data tidy and usable. Batch Processing & Analysis Use MapReduce to process and analyze data in bulk. Key insights we’re looking for: Revenue breakdown by store, county, and liquor category. Top performers – best-selling categories, most successful vendors, high-revenue stores. Trends over time – monthly and yearly sales patterns, seasonal shifts. Turning Data Into Strategy We want more than just charts — we need...

...row keys. Ensure data consistency and validate the integrity of the data in both RDS and HBase. 2. Data Cleaning Clean the dataset to improve quality and ensure accurate analysis: Remove incomplete or missing data. Fix formatting issues and invalid entries. Standardize categorical data and normalize field formats. Deduplicate records to maintain clean datasets. 3. Batch Processing with MapReduce We're looking to extract actionable insights through batch processing: Revenue & Sales Analysis: Calculate total revenue per store. Identify top-selling liquor categories based on bottles sold and sales in dollars. Aggregate and analyze sales performance at the county level. Store & Vendor Performance: Rank stores based on revenue, sales volume, and average trans...

I'm seeking a seasoned data engineer with in-depth understanding of big data concepts and experience with the MapReduce algorithm, specifically for aggregating text data from web pages. Key Responsibilities: - Use MapReduce for data aggregation tasks - Aggregate text data sourced from various web pages Ideal Skills and Experience: - Proficiency in big data concepts - Extensive experience with the MapReduce algorithm - Strong skills in data aggregation - Experience with text data handling - Knowledge of web data extraction techniques

...explicit permission of the site owner to do so. If you opt to web scrape data, you should include a copy of the permission document/email as an appendix to the report. 3. Utilise a distributed data processing environment, such as Hadoop MapReduce or Spark, for the majority of the analysis. 4. Store the source dataset(s) into blob storage 5. Programmatically access the source data from blob storage using appropriate MapReduce / Spark code. 6. Programmatically storing the results of the processing into an appropriate SQL or NoSQL output database. Again, the MapReduce / Spark task should write directly to the database. 7. Carry out a follow-up analysis on the output data. The data can be extracted from the SQL/NoSQL database into another format, using an appropria...

I'm seeking a knowledgeable Data Analytics freelancer ...Data Analysis - Insights - Data quality - Benefit analysis - Visualization with Python: Matplotlib, Seaborn, Plotly Express - Data Storytelling Data Management - Big Data architectures - Relational databases with SQL - Comparison of SQL and NoSQL databases - Business Intelligence - Data protection in the context of data analysis Data Analysis in the Big Data Context - MapReduce approach - Spark - NoSQL Dashboards - Library: Dash - Building Dashboards – Dash Components - Customizing Dashboards - Callbacks Text Mining - Data Preprocessing - Visualization - Library: SpaCy If you have a passion for teaching and a strong background in data analytics and Python, I would lov...

...to design, deploy, and secure a scalable 5-node Hadoop cluster on either AWS or Azure. This project requires expertise in Hadoop architecture, cloud infrastructure, and implementing best practices for performance and security. Key Responsibilities: Cluster Deployment: Set up a Hadoop cluster with 1 master node and 4 worker nodes. Install and configure Hadoop 3.x, including HDFS, YARN, and MapReduce. Integrate cloud storage (e.g., S3 or Azure Blob Storage) with the cluster. Scalability & Optimization: Configure the cluster to scale seamlessly with auto-scaling for worker nodes. Optimize Hadoop performance for data locality and workload distribution. Security Implementation: Secure cluster communication with SSL/TLS. Implement role-based access control (RBAC) using IAM (A...

...The ideal candidate should have a strong background in data engineering, particularly with the following skills and experiences: - 5+ years in data engineering or related roles. - Master’s degree in Computer Science, Engineering, or a related field is preferred. - Proficiency in Apache Airflow for workflow scheduling and management. - Strong experience with Hadoop ecosystems, including HDFS, MapReduce, and Hive. - Expertise in Apache Spark/Scala for large-scale data processing. - Proficient in Python. - Advanced SQL skills for data analysis and reporting. - Experience with AWS cloud platform is a must. The selected candidate will be responsible for developing data pipelines, managing data warehousing and performing data analysis and reporting. Strong analytical and probl...

...with a two-fold project. The first part involves using a Virtual machine to perform Hadoop MapReduce and WordCount analysis. The second part is more focused on data collection, analytics and visualization using Databricks Notebook. Key Tasks: 1. **Hadoop MapReduce & WordCount Analysis:** - Utilize a Virtual machine to perform Hadoop MapReduce - Implement a WordCount analysis on the data 2. **Data Collection & Analytics:** - The data to be collected is unstructured in nature - Use Databricks Notebook for analytics 3. **Data Visualization:** - Create data visualizations using the Databricks platform Ideal skills for this job include: - Proficiency in using Hadoop ecosystem for MapReduce tasks - Strong experience with Databricks Noteb...

I'm looking for a skilled developer with experience in Hadoop to help me create a real-time data analysis application. Requirements: - The primary focus of this project is data analysis. You should have a strong background in analyzing data and be familiar with common data analysis techniques, tools and algorithms. - The system will need to integrate with various public datasets. Expe...with dealing with such data sources will be essential. - The system should support real-time data analysis. So, expertise in real-time data processing and analysis is a must. Ideal Skills for the job: - Strong background in data analysis - Experience working with public datasets - Proficient in real-time data processing and analysis - Familiarity with Hadoop and its ecosystem, such as HDFS, MapR...

I have a substantial dataset of 16,000 lines in a CSV file that requires in-depth analysis, and I'm looking for a skilled professional in Hadoop, MapReduce, and Java to take on this project. Specifically, I need: - A comprehensive and detailed analysis of the data using Hadoop and MapReduce - Your expertise in Java to create the necessary codes for this task - Answers to specific questions derived from the dataset - The completion of this project as soon as possible Please provide me with: - Your experience in big data analysis with Hadoop and MapReduce - Your proficiency in Java - Any previous work or examples that demonstrate your skills in this area Experience in statistical analysis, particularly in the context of big data, would be highly beneficial. The...

...will include parameters such as patient age ranges, geographical regions, social conditions, and specific types of cardiovascular diseases. Key responsibilities: - Process distributed data using Hadoop/MapReduce or Apache Spark - Developing an RNN model (preferably Python) - Analyzing the complex CSV data (5000+ records) - Identifying and predicting future trends based on age, region, types of diseases and other factors - Properly visualizing results in digestible diagrams Ideal candidates should have: - Experience in data analysis with Python - Solid understanding of Hadoop/MapReduce or Apache Spark - Proven ability in working with Recurrent Neural Networks - Excellent visualization skills to represent complex data in static or dynamic dashboards - Experience wor...

I'm in search of a professional proficient in AWS and MapReduce. My project involves: - Creation and execution of MapReduce jobs within the AWS infrastructure. - Specifically, these tasks will focus on processing a sizeable amount of text data. - The goal of this data processing is to perform an in-depth word frequency analysis, thereby extracting meaningful answers prompted by the data. The ideal freelancer for this job will have substantial experience handling data within these systems. Expertise in optimizing performance of MapReduce jobs is also greatly desirable. For anyone dabbling in AWS, MapReduce and data analytics, this project can provide a challenging and rewarding experience.

I'm in search of an intermediate-level Java programmer well-versed in MapReduce. Your responsibility will be to implement the conceptual methods outlined in a given academic paper. What sets this task apart is that you're encouraged to positively augment the methodologies used: • Efficiency: Be creative with the paper's strategies and look for room for improvement in the program's efficiency. This could include enhancements to the program's capacity to process data, or to its speed. Ideal candidate should be seasoned in Java Programming, specifically MapReduce operations. Moreover, the ability to critically analyze and improve upon existing concepts will ensure success in this task. Don't hesitate to innovate, as long as you maintain the ...

...administrator will be responsible for ensuring the smooth functioning of the Hadoop system and optimizing its performance. - The candidate should have a deep understanding of Hadoop architecture, configuration, and troubleshooting. - Experience in managing large-scale data processing and storage environments is required. - Strong knowledge of Hadoop ecosystem technologies such as HDFS, YARN, MapReduce, and Hive is essential. - The Hadoop administrator should be proficient in scripting languages like Python or Bash for automation and monitoring tasks. - Familiarity with cloud platforms and distributed computing frameworks is a plus. - Excellent communication skills and the ability to work collaboratively in a team environment are necessary. - The candidate should be proactive, det...

HDFS Setup Configuration: 1 NameNode 3 DataNodes 1 SecondaryNameNode Requirements: Assuming y...the Overview module, Startup Process module, DataNodes module, and Browse Directory module on the Web UI of HDFS. MapReduce Temperature Analysis You are given a collection of text documents containing temperature data. Your task is to implement a MapReduce program to find the maximum and minimum temperatures for each year. Data Format: Year: Second item in each line Minimum temperature: Fourth item in each line Maximum temperature: Fifth item in each line Submission Requirements: Submit the source code of your MapReduce program along with instructions for running it. Also, include a short document explaining your design choices and how you tested your solution. ...

Looking for Hadoop Hive Experts I am seeking experienced Hadoop Hive experts for a personal project. Requirements: - Advanced level of expertise in Hadoop Hive - Strong understanding of big data processing and analysis - Proficient in Hive query language (HQL) - Experience with data warehousing and ETL processes - Familiarity with Apache Hadoop ecosystem tools (e.g., HDFS, MapReduce) - Ability to optimize and tune Hadoop Hive queries for performance If you have a deep understanding of Hadoop Hive and can effectively analyze and process big data, then this project is for you. Please provide examples of your previous work in Hadoop Hive and any relevant certifications or qualifications. I am flexible with the timeframe for completing the project, so please let me know your avail...

1: model and implement efficient big data solutions for various application areas using appropriately selected algorithms and data structures. 2: analyse methods and algorithms, to compare and evaluate them with respect to time and space requirements and make appropriate design choices when solving real-world problems. 3: ...appropriate design choices when solving real-world problems. 3: motivate and explain trade-offs in big data processing technique design and analysis in written and oral form. 4: explain the Big Data Fundamentals, including the evolution of Big Data, the characteristics of Big Data and the challenges introduced. 6: apply the novel architectures and platforms introduced for Big data, i.e., Hadoop, MapReduce and Spark complex problems on Hadoop execution platform....

Write MapReduce programs that give you a chance to develop an understanding of principles when solving complex problems on the Hadoop execution platform.

I am looking for a Python expert who can help me with a specific task of implementing a MapReducer. The ideal candidate should have the following skills and experience: - Proficient in Python programming language - Strong knowledge and experience in MapReduce framework - Familiarity with web scraping, data analysis, and machine learning would be a plus The specific library or framework that I have in mind for this project is [insert library/framework name]. I have a tight deadline for this task, and I prefer it to be completed in less than a week.

I am looking for a freelancer to develop a Mapreduce program in Python for data processing. The ideal candidate should have experience in Python programming and a strong understanding of Mapreduce concepts. Requirements: - Proficiency in Python programming language - Knowledge of Mapreduce concepts and algorithms - Ability to handle large data sets efficiently - Experience with data processing and manipulation - Familiarity with data analysis and mining techniques The program should be flexible enough to handle any data set, but the client will provide specific data sets for the freelancer to work with. The freelancer should be able to process and analyze the provided data sets efficiently using the Mapreduce program.

It's java hadoop mapreduce task. The program should run on windows OS. An algorithm must be devised and implemented that can recognize the language of a given text. Thank you.

I am looking for an advanced Hadoop trainer for an online training program. I have some specific topics to be covered as part of the program, and it is essential that the trainer can provide in-depth knowledge and expertise in Hadoop. The topics to be discussed include Big Data technologies, Hadoop administration, Data warehousing, MapReduce, HDFS Architecture, Cluster Management, Real Time Processing, HBase, Apache Sqoop, and Flume. Of course, the trainer should also have good working knowledge about other Big Data topics and techniques. In addition to the topics mentioned, the successful candidate must also demonstrate the ability to tailor the course to meet the learner’s individual needs, making sure that the classes are engaging and fun. The trainer must also possess o...

We are an expanding IT company seeking skilled and experienced data engineering professionals to support our existin...experience in a data engineering role. Desired (but not required) Skills: - Experience with other data processing technologies such as Apache Flink, Apache Beam, or Apache Nifi. - Knowledge of containerization technologies like Docker and Kubernetes. - Familiarity with data visualization tools such as Tableau, Power BI, or Looker. - Understanding of Big Data tools and technologies like Hadoop, MapReduce, etc. If you possess the necessary skills and experience, we invite you to reach out to us with your CV and relevant information. We are excited to collaborate with you and contribute to the continued success and innovation of our IT company in the field of data en...

Need an exceptional freelancer with expertise in AWS CloudFormation and Python Boto3 scripting to create a CloudFormation template specifically for an EMR (Elastic MapReduce) cluster and develop a validation script. This project requires strong knowledge of AWS services, proficiency in Python scripting with Boto3, and the ability to meet a strict 5-day can be changed based on project requirements. Requirements: - Extensive experience in AWS CloudFormation, specifically for EMR clusters - Proficiency in Python scripting with Boto3 - Solid understanding of IAM, S3, and EMR services - Previous experience in creating validation scripts or automated testing scripts - Familiarity with Spark and Adaptive Query Execution (AQE) is highly desirable Will tell exact requirements when

Help to implement HDFS and MapReduce applications.

...appropriate visualisation/s and report the results of analysis. All the steps/Python code/results must be shared. (A) Data Analysis (75%) • On given datasets, identify the questions that you would like to answer through data analysis. • Given two datasets, use SQL queries to create a new dataset for analysis. • Perform data cleaning and pre-processing tasks on the new dataset. • Use HIVE, MapReduce (or Spark) and machine learning techniques to analyse data. • Perform visualization using Python and PowerBI and report the results. (B) Issues and Solution (25%)• Identify the current issues in the use of Big Data Analytics in the fashion retail industry. Based on the identified issues, propose an effective solution using various technologies. ...

Need java expert with experience in Distributed Systems For Information Systems Management, it will invlove the usage of MapReduce and Spark Linux and unix commands Part 1 Execute a map reduce job on the cluster of machines Requires use of Hadoop classes Part 2Write a Java program that uses Spark to read The Tempest and perform various calculations. The name of the program is TempestAnalytics.java. I will share full details in chat make ur bids

Need java expert with experience in Distributed Systems For Information Systems Management, it will invlove the usage of MapReduce and Spark Linux and unix commands Part 1 Execute a map reduce job on the cluster of machines Requires use of Hadoop classes Part 2Write a Java program that uses Spark to read The Tempest and perform various calculations. The name of the program is TempestAnalytics.java. I will share full details in chat make ur bids

You are required to setup a multinode environment consisting of a master node and multiple worker nodes. You are also required to setup a client program that communicates with the nodes based on the types of operations requested by the user. The types of operations that expected for this project are: WRITE: Given an input file, split it into multiple partitions and store i...the types of operations requested by the user. The types of operations that expected for this project are: WRITE: Given an input file, split it into multiple partitions and store it across multiple worker nodes. READ: Given a file name, read the different partitions from different workers and display it to the user. MAP-REDUCE - Given an input file, a mapper file and a reducer file, execute a MapReduce Job on th...

given a dataset and using only MapReduce framework and python, find the following: • The difference between the maximum and the minimum for each day in the month • The daily minimum • the daily mean and variance • the correlation matrix that describes the monthly correlation among set of columns Using Mahout and python, do the following: • Implement the K-Means clustering algorithm • Find the optimum number (K) of clusters for the K-mean clustering • Plot the elbow graph for K-mean clustering • Compare the different clusters you obtained with different distance measures

Hello All, The objective of this subject is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time. Please stay auto bidders Thank You

Hello All, The objective of this subject is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time. Please stay auto bidders Thank You

Hello All, The objective of this subject is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time. Please stay auto bidders Thank You

Hello All, The objective of this subject is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time. Please stay auto bidders Thank You

Hello All, The objective of this subject is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time. Please stay auto bidders Thank You

The objective of this assignment is to learn how to design a distributed solution of a Big Data problem with help of MapReduce and Hadoop. In fact, MapReduce is a software framework for spreading a single computing job across multiple computers. It is assumed that these jobs take too long to run on a single computer, so you run them on multiple computers to shorten the time.

1. Implement the straggler solution using the approach below a) Develop a method to detect slow tasks (stragglers) in the Hadoop MapReduce framework using Progress Score (PS), Progress Rate (PR) and Remaining Time (RT) metrics b) Develop a method of selecting idle nodes to replicate detected slow tasks using the CPU time and Memory Status (MS) of the idle nodes. c) Develop a method for scheduling the slow tasks to appropriate idle nodes using CPU time and Memory Status of the idle nodes. 2. A good report on the implementation with graphics 3. A recorded execution process Use any certified data to test the efficiency of the methods

identify differences in implementations using Spark versus MapReduce, and understand LSH through implementing portions of the algorithm. Your task is to find hospitals with similar characteristics in the impact of COVID-19. Being able to quickly find similar hospitals can be useful for connecting hospitals experiencing difficulties and finding the characteristics of hospitals that have dealt better with the pandemic

I have an input text file and a mapper and reducer file which outputs the total count of each word in the text file. I would like to have the mapper and reducer file output only the top 20 words (and their count) with the highest count. The files use and I wanna be able to run them in hadoop.

i want map reduce framework need to be implemented in scala

I will have couple of simple questions regarding: NLP, FSA, MapReduce, Regular expression, N-Gram. Please let me know if you have expertise in these topics.