Evaluate big data using Amazon Web Service

big data and Amazon web services expert

Hello! My name's Sandeep and I was glad to see that you're looking for help for project Evaluate big data using Amazon Web Service. Please let me know when you need this project to be completed and your minimum budget. I've delivered more than 400 projects in the last 3 years and this makes me very confident with your task.I'd like to have more details before proceeding. This way I'll have the chance to elaborate m bid accordingly. I have more than 5 years of experience in Amazon Web Services, Big Data Sales, Hadoop, Linux, Python I never ask for payments in front. I will only ask you to release the agreed milestones once the task for each one of them is met and you're happy with it. Please find my portfolio link below for your review: https://www.freelancer.in/u/schoudhary1553 Feel free to visit my personal page on this platform and get an idea of how satisfied my clients are from my work. Don't hesitate to contact me. I'm looking forward to hearing from you soon to discuss more details related to project.

Hello I am working in Bigdata/Hadooptechnologies for last years. Worked in Hadoop Mapreduce Spark Kafka Cassandra ELK stack etc Can we further talk on this? Thanks!

Hi, I have 7 years of experience and working on hadoop, spark, nosql, java, cloud... Done end to end data warehouse management projects on aws cloud with hadoop, hive, spark and presodb. Worked on multiple etl project like Kafka, nifi, flume, mapreduce, spark with XML/JSON., Cassandra, mongodb, hbase, redis, oracle, sap hana, ASE.... Many more. Let's discuss the required things in detail. I am committed to work done and strong in issue resolving as well. Thanks

I have two years of experience in big data and data analytics (pyspark) with Virtusa .

I have 5 years of hadoop development experience. I have worked on Cloudera as well Hortonworks platform. I can help you to build the solution.! let's discuss.!

● Total 9+ years of competitive experience in IT industry using Java, J2EE Technology. ● Expertise in Spark Programming and Big Data concepts. ● Having experience in writing HIVE queries. ● Importing and exporting data from HDFS using Sqoop. ● Hands on with AWS.

Certified Hadoop Developer (Hadoop Spark Ni-Fi Hive AWS Docker) I am Hadoop Developer having 2 years of experience working with Spark Hadoop ecosystem and Docker. Expertise AREA: > Data ingestion using Spark Streaming, Spark SQL and Sqoop from RDBMS, NoSQL databases and file sources >Hadoop administration and cluster configuration > Hadoop and Spark cluster setup on on-premise server, Amazon Server > Data analysis and reporting using Hive > Data visualization using Google Data Dashboard > Practical experience with Hive Pig > Stream processing with Kafka-Spark Streaming > Expert in Docker Certifications: Hadoop Architect IBM Software Training under the IBM Career Education Program

I am a data engineer/data scientist with a substantial experience in big (petabyte-scale) data handling and processing. My work relies heavily on implementing efficient program algorithms, Analytics and performing statistical inference. I routinely use machine learning techniques, architect data analysis pipelines. I am highly analytical and process-oriented data engineer /data scientist with in-depth knowledge of database types; research methodologies; and big data capture, manipulation and visualization. Furnish insights, analytics and business intelligence used to advance opportunity identification, process re-engineering and corporate growth. My strengths are my attitude that i like to take challenges that I CAN do it,my way of thinking that i take both success and failure in a balanced manner.I don't like to say weakness but i like to say scope for improvement that is i wont leave any task incompletely,i believe in my self and my hard work and i want perfection in every thing.

Problem statement: Evaluation of Big data on AWS Concept : We use Elastic Map Reduce which works both for hadoop and spark. Now-a-days AWS Kinesis can be used to push near real-time Big Data processing to Spark Logistics: AWS S3 storing the data AWS EMR Apache Spark and Hadoop AWS Kinesis Deliverable: Comparison Matrix including the ETL time for Big data Scalability Matrix on Multi-node cluster AWS Kinesis matrix for dynamic data processing Procedure: Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster Use in-memory analytics with Apache Spark on Amazon EMR Leverage Apache Hadoop in the context of Amazon EMR Creation of pipeline , right from saving static data in S3 and pushing it on the EMR Module Creation of pipeline using AWS Kinesis for near Real Time Data Processing.

Dear Team, I have done a similar assessment for British Gas as I was their Chief Cloud Architect and Currently done similar for THREE mobile UK. Regards

I have a deep interest and good knowledge to understand data, solving the business problems, get insights and provide solutions using programming skills. Good hands-on experience in the field of Spark and Hadoop Ecosystems, HDFS, MapReduce, Scala, Python, Java, and Shell which includes estimations, requirement analysis, design development, coordination, validation, and Web Application Development. Experience includes handling a large amount of data - structured and unstructured.