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An open-source framework written in Java which allows users to store as much as terabytes or even petabytes of Big Data – both structured and un-structured – across a cluster of computers. The unique storage mechanism which uses a distributed file system (HDFS) to map data across any part of a cluster.
The architecture of Hadoop
There are four main architectural features of Hadoop:
Hadoop Common is called the Core of Hadoop and is formed of the utilities and libraries which support the other Hadoop modules. The Core also contains numerous JAR archives needed to start Hadoop.
This is the module which offers a key selling point of Hadoop, as it ensures scalability. When data is received by Hadoop it is executed over three different stages:
Map This is when the data is converted to key-value pairs which are known as Tuples.
Shuffle This is when the data is transferred from the Map stage to the Reduce stage.
Reduce Once the tuples have been received, they are processed and turned into a new set of tuples which are then stored via HDFS.
Hadoop Distributed File System (HDFS)
This is the name given to the storage system used by Hadoop. It utilizes a master/slave set-up, where one primary machine controls a large number of other machines, making it possible to access big data quickly across the Hadoop clusters. By dividing the data into separate pieces, it stores them at speed on multiple nodes in one cluster.
In simple terms, YARN is a clustering platform which aids in the management of resources and the scheduling of tasks. It makes it possible for multiple data processing engines to operate within a single platform. These might include real-time streaming, interactive SQL, data science and batch processing.
The key benefits of using Hadoop
The structure of Hadoop means that it can scale horizontally, unlike traditional relational databases. This is because the data can be stored across a cluster of servers, from a single server to hundreds.
Faster data processing is made possible by the distributed file and powerful mapping offered by Hadoop.
Both your structured and unstructured data can be used to generate value by Hadoop. It can draw useful insights from sources such as social media, daily logs and emails.
The data stored by Hadoop is stored in replicate form across different servers in multiple locations, which increases reliability.
Advanced Data Analysis
When utilizing Hadoop, it becomes simple to store, manage and process large data sets, bringing effective data analysis in-house.
Our consultants will come up with solutions for your data management challenges. These might include using it as a data warehouse, a data hub, an analytic sandbox or a staging environment.
Design & Development
Our experienced team can bring their knowledge in Hadoop Ecosystems to impact on your business. These will include Hive, Sqoop, Oozie, HBase, Pig, Flume and Zookeeper. Using these we can deliver scalable effective solutions based on Apache Hadoop.
The Hadoop solutions we develop can be integrated with enterprise applications such as Alfresco, CRM, ERP, Marketing Automation, Liferay, Drupal, Talend, and more.
Support and Maintenance
Our round the clock support service means that your Hadoop systems are always going to be running.
Partner with Vsourz
If you’re looking for Hadoop Solutions, then Vsourz is the ideal people to deal with. We offer:
Agile methodology for project development
We deal with every client in a transparent and highly communicative spirit of collaboration clients
We provide Hadoop developers, architects and consultants for highly competitive rates
Our experts work across a range of functions and specialisms
We have in depth experience and expertise relating to open technology systems and applications
Our specialists offer high end expertise in user interfaces, business analysis and user experience
Our track record speaks for itself in terms of client engagement and project delivery
We deliver Hadoop projects on time at competitive price
Our quality assurance testing (QA) is extremely rigorous, ensuring the best possible results when a project goes live
Hire our Hadoop developers
The experts working at Vsourz offer an in-depth understanding of all the layers of a Hadoop stack. Our developers know everything they need to know about designing Hadoop clusters, the different modules of Hadoop architecture, performance tuning and setting up the top chain responsible for data processing in place.
We have skills and experience when it comes to working with Big Data tools such as Cloudera, Hortonworks, MapR and BigInsights, as well as relevant technologies like HDFS, HBase, Cassandra, Kafka, Spark, Storm, Scalr, Oozie, PIG, Hive, Avro, Zookeeper, Sqoop and Flume.
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