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:
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.
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.
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.
Our round the clock support service means that your Hadoop systems are always going to be running.
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.
