Apache Hadoop

Hadoop is an open-source framework for distributed, scalable and reliable computing
Apache Hadoop
An overview about Apache Hadoop

An Overview About Apache Hadoop

An overview about Apache Hadoop

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

Hadoop Common
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.
Hadoop Common
Hadoop MapReduce

Hadoop MapReduce

Hadoop MapReduce

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)

Hadoop Distributed File System (HDFS)

This is the name given to the storage system used by Hadoop. It utilises 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.

Hadoop Distributed File System (HDFS)
Hadoop YARN

Hadoop YARN

Hadoop YARN
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

Scalability

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.

Speed

Faster data processing is made possible by the distributed file and powerful mapping offered by Hadoop.

Flexibility

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.

Reliability

The data stored by Hadoop is stored in replicate form across different servers in multiple locations, which increases reliability.

Advanced Data Analysis

When utilising Hadoop, it becomes simple to store, manage and process large data sets, bringing effective data analysis in-house.

HADOOP SERVICES

Consulting

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.

Integration

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

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