Big Data IBM Big Insights Training chennai

Apache Hadoop has been the driving force behind the growth of the big data industry.You will hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?
Hadoop brings the ability to cheaply process large amounts of data,regardless of its structure.By large,we mean from 10-100 gigabytes and above. How is this different from what went before?
Existing enterprise data warehouses and relational databases excel at processing structured data and can store massive amounts of data, though at a cost: This requirement for structure restricts the kinds of data that can be processed, and it imposes an inertia that makes data warehouses unsuited for agile exploration of massive heterogenous data. The amount of effort required to warehouse data often means that valuable data sources in organizations are never mined. This is where Hadoop can make a big difference.Hadoop Online Training India with 24/7 Technical Support + AWS Cloud server Access for practicing
Upcoming Hadoop changes
Before discussing alternative Hadoop distributions, let's look at some changes to Hadoop itself in the near future. We've already discussed the HDFS changes coming in Hadoop 2.0, particularly the high availability of NameNode enabled by the new BackupNameNode and CheckpointNameNode services. This is a significant capability for Hadoop as it will make HDFS much more robust, greatly enhancing its enterprise credentials and streamlining cluster operations. The impact of NameNode HA is hard to exaggerate; it will almost certainly become one of those capabilities that no one will be able to remember how we lived without in a few years' time.Hadoop Big Data FastTrack Training Weekdays ( 5 Days)
Launching Big Data FastTrack Training – Learn from Solutions Architect & Big Data Consultants – not just trainers!
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