Hadoop why java

The Apache Hadoop software library is a framework that allows for the distributed storage and processing of large data sets across clusters of computers using simple programming models.

Refer to documentation at Apache-Hadoop. Not required. But you are looking at optimization of your Map Reduce jobs, java provides that flexibility. PIG : A high-level data-flow language and execution framework for parallel computation. It is recommended for people, who are experts in scripting languages like Python. HIVE : A data warehouse infrastructure that provides data summarization and ad- hoc querying.

They provide higher level of abstraction to provide solution to business problems. On the performance front, they are not efficient compared to traditional MAP reduce jobs implemented in java. Refer to this article for Java Alternatives. On job front , it depends your expertise and your selection of eco-system in Hadoop framework. It is difficult to answer. To implement Word count type of programs, you have to write scripts, execute and consolidate the results from datanodes.

Hadoop is a distributed computing framework. Hadoop is used by the following roles:. Though Hadoop and most of it's Eco System is written in Java, but it is used by all kinds of People in the Enterprise. So we need several interfaces to target all the audience and to increase the adaptability.

Hadoop Project Management Committee initiated several projects to support non java programmers, non programmers, SQL programmers etc Hadoop streaming is a bit slow compared to Native Java MapReduce, but is useful to integrate the legacy code which is written in non java and it is also good for integrating Data Science tool kits like R and Python with Hadoop.

It internally uses Hadoop Pipes. The concept of inheritance is simple yet it is very useful. Say you want to create a new class, but you know that there is an existing class library in Java that already has some properties, methods and code that you need. Get Started with understanding the concept of Inheritance and implemntation of interfaces in Java through this "Learn Java for Hadoop Tutorial:Inheritance and Interfaces". The mechanism to handle runtime malfunctions is referred to as Exception Handling.

The block of java code that handles the exception is known as Exception Handler. When there is an Exception, the flow of the program is disturbed or abruptly terminated. Exceptions occur due to various reasons- hardware failures, programmer error,a file that needs to be opened cannot be found, resource exhaustion etc. Checked Exception: These kind of exceptions can be predicted and resolved by the programmer. This is something that the programmer will be aware of.

It will be checked during compile time. Unchecked Exception: This class is the extension of RuntimeException. This type of exception is checked at the runtime and ignored during the compile time. Error: Errors cannot be recovered and neither can be handled in the program code.

The only solution to exit from errors is to terminate execution of the program. Serialization is a mechanism in which an object is represented as a sequence or stream of bytes. The stream of bytes contains information about the type of the object and the kind of data stored in it.

The type of information and bytes that represent the object and its data can be used to recreate the object in memory and this process is the reverse process of serialization known as deserialization. The whole process is JVM independent. An object can serialized in one platform and can be deserialized in a completely different platform. ObjectInputStream class deserializes objects and primitive data types that have been serialized using ObjectOutputStream.

An object that groups multiple elements into a single unit is called a Collection. A collection object in java holds references to other objects. It is used to store, retrieve, manipulate, and communicate aggregate data.

Interfaces usually form a hierarchy in object- oriented languages. Collections can be manipulated independently irrespective of their representations. Entry, Deque etc. Algorithms are polymorphic in nature i. If you are interested in becoming a Hadoop developer, but you are concerned about mastering Java concepts for Hadoop, then you can talk to one of our career counsellors. Please send an email to rahul dezyre. Ozone 1. Release 3. Release 2. Modules The project includes these modules: Hadoop Common : The common utilities that support the other Hadoop modules.

Who Uses Hadoop? Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive applications visually alongwith features to diagnose their performance characteristics in a user-friendly manner. It is provided by Apache to process and analyze very huge volume of data. We assure that you will not find any problem in this Hadoop tutorial.

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