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In my last Blogs we have discussed about What is Big data hadoop and its jobs ? Apache Spark and Introduction of Apache Spark SQL .Now in this blog we will discussed about the basic frame work of Hadoop. So lets gets started. Frameworks: Hadoop : Hadoop is basically a software library written in java. It is used for processing large amount of data in distributed environment, which allows developers to setup clusters of computers starting with a single node that can scale up to thousand of nodes. HIVE Hive is data warehousing framework that's built on Hadoop. It allows for structuring data and querying using a language like SQL called HiveQL. Developers can use Hive and HiveQL to write complex MapReduce over structured data in a distributed file system. Hive is the closest thing to a relational-database in the Hadoop ecosystem. PIG Pig is an application for transforming large data sets. Like Hive, Pig has its own language called pig-latin. Pig Latin allows devel

The Big Data Hadoop market is undergoing gigantic evolution. Big Data & Hadoop skills could be the transformation between your current career & your dream career. I would say, now is the right time to gain knowledge of hadoop and give a boost to your carrier. GATEWAY TO BIG DATA TECHNOLOGIES  Hadoop has become a priority for Big Data analytics and has been adopted by large number of companies. Typically, beside Hadoop, a Big Data solution strategy involves multiple technologies in a tailored manner. So, it is essential for one to not only learn Hadoop but become expert on other Big Data technologies falling under the Hadoop ecosystem. This will help you to further boost your Big Data career and grab elite roles like Big Data Architect, Data Scientist etc. But for all of this you need to learn Hadoop as it is the best option for moving into Big Data domain.  DIFFERENT HADOOP AND BIG DATA JOB OPTIONS(PROFILES) There are various job profiles in Hadoop and big d

Spark SQL is Spark’s interface for working with structured and semi-structured data. Structured data is considered any data that has a schema such as JSON, Hive Tables, Parquet.  Schema means having a known set of fields for each record.  Semi-structured data is when there is no separation between the schema and the data. Features of Spark SQL: 1)Integration With Spark. Spark SQL queries are integrated with Spark programs.  2)Uniform Data Access.  3)Hive Compatibility.  4)Standard Connectivity.  5) Performance And Scalability.  6) User Defined Functions Components of Spark SQL: 1)Spark SQL Dataframes  There was no provision to handle structured data and there was no optimization engine when working with structured data. On the basis of attributes the developer had to optimize each RDD. Spark DataFrame is a distributed collection of data ordered into named columns. You might remember a table in relational database. Spark Dataframe e is similar to that. 2)Spark SQ

In my last Blog , I Share the information about Big Data and Jobs related to Big Data . In this section we will discuss about the Top programming languages used in Hadoop. Is common question among the Beginners are " What Are The Programming languages used in Hadoop". The Top Languages which are used in Hadoop training are mentioned below : 1) JAVA  Java is a general purpose object oriented Computer programming language. To make carrier in Hadoop Or to learn hadoop ,knowledge of programming principal of java is must.Java also helps to build large Software systems. 2) PYTHON Python is an object oriented language, similar to C++ or Java Python is most trending and highly recommended language for Data Engineers. Some famous modern applications like Pinterest and Instagram are using python. 3) SCALA Scala is a hybrid functional and object-oriented programming language which runs on JVM (Java Virtual Machine). The name is an acronym for Scalable Language. 4) R

Apache spark is fast,in memory Data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. Originally developed at the University of California' Berkeley's AMPLAB,  the Spark  codebase was later donated to the Apache Software Foundation which has maintained it since With Spark running on Apache Hadoop YARN, developers everywhere can now create applications to exploit Spark’s power, derive insights, and enrich their data science workloads within a single, shared dataset in Hadoop. References : http://www.besthadooptraining.in/blog/top-4-apache-spark-use-cases-in-real-time/ https://www.credosystemz.com/training-in-chennai/best-hadoop-training-in-chennai/ Search Tags : Apache Spark In Real Time  |  Apache Spark  |  Hadoop Training in Chennai   Related Tags: Latest Technologies  |  IT Technologies 

The first question in our mind is that what Big Data Actually is ? Big Data is basically is that data which is Unprecedented. In simple words, Big Data is that data which is Never known before. The Data could be either Structured or Unstructured. Better data leads to better decision making and it helps to Strategize for an organisation regardless to their customer Segmentation, market share, size, geography. Hadoop Platform is the best choice to working with extremely large amount of data. Want more information about  BIG DATA ?  References: http://www.besthadooptraining.in/blog/big-data-jobs-opportunities-2018/ https://www.credosystemz.com/training-in-chennai/best-big-data-training-in-chennai/ Search Tags: Big Data Jobs  |  Big Data Jobs In India  |  Big Data jobs in Chennai  |  Get Certification in Big data  |  Top Big Data Training Institutes  |  Big Data Training By Professionals Other Related Topics: Tutorials of Latest Technologies  |  Latest Te