Hadoop is an open-source software platform that supports the distributed processing of large datasets across clusters of computers, enabling organizations to store and analyze unstructured data quickly and accurately. With the help of a Hadoop Consultant, this powerful software can scale your data architecture and allow organizations to capture, store, process and organize large volumes of data. Hadoop offers a variety of features including scalability, high availability and fault tolerance.
Having an experienced Hadoop Consultant at your side can help develop projects that take advantage of this powerful platform and maximize your big data initiatives. Hadoop Consultants can create custom applications that integrate with your existing infrastructure to help you accelerate analytics, process large amounts of web data, load different levels of insights from unstructured sources like internal emails, log files, streaming social media data and more for a wide variety of use cases.
Here’s some projects our expert Hadoop Consultant created using this platform:
- Desgined arrays of algorithms to support spring boot and microservices
- Wrote code to efficiently process unstructured text data
- Built python programs for parallel breadth-first search executions
- Used Scala to create machine learning solutions with Big Data integration
- Developed recommendation systems as part of a tailored solution for customer profiles
- Constructed applications which profiled and cleaned data using MapReduce with Java
- Created dashboards in Tableau displaying various visualizations based on Big Data Analytics
Thanks to the capabilities offered by Hadoop, businesses can quickly gain insights from their unstructured dataset. With the power of this robust platform at their fingertips, Freelancer clients have access to professionals who bring the experience necessary to build solutions from the platform. You too can take advantage of these benefits - simply post your Hadoop project on Freelancer and hire your own expert Hadoop Consultant today!Von 12,170 Bewertungen, bewerten Kunden unsere Hadoop Consultants 4.93 von 5 Sternen.
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One of the advantages of cloud computing is its ability to deal with very large data sets and still have a reasonable response time. Typically, the map/reduce paradigm is used for these types of problems in contrast to the RDBMS approach for storing, managing, and manipulating this data. An immediate or one-time analysis of a large data set does not require designing a schema and loading the data set into an RDBMS. Hadoop is a widely used open source map/reduce platform. Hadoop Map/Reduce is a software framework for writing applications which process vast amounts of data in parallel on large clusters. In this project, you will use the IMDB (International Movies) dataset and develop programs to get interesting insights into the dataset using Hadoop map/reduce paradigm. Please use the...
Experience in building and maintaining data engineering solutions in an AWS environment. Strong proficiency in Python coding for data engineering tasks. Hands-on experience with CI/CD practices and tools. Familiarity with AWS data and analytics services (Kinesis, Athena, EMR, S3, etc.). Experience with AWS Management & Governance tools (Config, CloudFormation, CloudWatch).
I am looking for an experienced freelancer who can design an application for air traffic management. The primary purpose of the application is to analyze and report on air traffic data. Features and functionalities for the application are flexible, as the client has a general idea but is open to suggestions. The ideal freelancer should have expertise in PostgreSQL databases, as the application will utilize a PostgreSQL database to handle all the data.