Hadoop - Big Data Development & Analytics - V2

!! Apache Community Delivers Big Data Solution to Advance Enterprise Analytics !! The data revolution is upon us and Hadoop is THE leading Big Data platform. Fortune 500 companies are using it for storing and analyzing extremely large datasets, while other companies are realizing its potential and preparing their budgets for future Big Data positions. It's the elephant in Big Data's room!

Hadoop is a software framework for storing and processing Big Data.

This series will get you up to speed on Big Data and Hadoop. Topics include how to install, configure and manage a single and multi-node Hadoop cluster, configure and manage HDFS, write MapReduce jobs and work with many of the projects around Hadoop such as Pig, Hive, HBase, Sqoop, and Zookeeper. Topics also include configuring Hadoop in the cloud and troubleshooting a multi-node Hadoop cluster.

Cloudera Developer Training for Apache Spark

Apache Spark is the next-generation successor to MapReduce. Cloudera University’s three-day training course for Apache Spark enables participants to build complete, unified Big Data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications to execute faster decisions, better decisions, and real-time actions, applied to a wide variety of use cases, architectures, and industries.

Fast Track to Scala Training

This course is designed to give experienced developers the know-how to confidently start programming in Scala. The course ensures you will have a solid understanding of the fundamentals of the language, the tooling and the development process as well as a good appreciation of the more advanced features. If you already have Scala programming experience, then this course could be a useful refresher, yet no previous knowledge of Scala is assumed.

Latest From The Blog

  • Various Hadoop daemons and their roles in a Hadoop cluster

    Namenode: It is the Master node which is responsible for storing the meta data for all the files and directories. It has information around blocks that make a file, and where those blocks are located in the cluster.
    Datanode: It is […]

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    1. What is Hadoop Classpath and what is its role?
    Classpath consists of a list of directories containing jar files to stop or start daemons.
    2. Mention what is distributed cache in Hadoop?
    Distributed cache in Hadoop is a facility provided by MapReduce […]

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    1.What is the Difference between Structured and Unstructured data.
    STRUCTURED DATA:- If we can store the data in  traditional database systems in the form of rows and columns, for example the transactions done online, then this type of data is Structured […]

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    What is HDFS?
    The Hadoop Distributed File System (HDFS) is the primary storage system used by Hadoop applications.
    HDFS is based on GOOGLE’s own filesystem which is the GFS.
    What is a block and block scanner in HDFS?
    Block – A block is the […]

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    Apache Hadoop: framework for distributed processing. Integrates MapReduce (parallel processing), YARN (job scheduling) and HDFS (distributed file system.

    Apache Ignite: high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time
    Apache MapReduce: programming model for processing large […]

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  • How Can Big Data And Analytics Help Athletes Win Olympic Gold In Rio 2016?

    The British Olympic rowing team – the only GB team to have won gold in every Olympics since 1984 – have increasingly ramped up their data-driven analytics with one primary aim – to make their boats go faster.
    In some ways, […]

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  • Big Data Hadoop facts

    1. The data volumes are exploding, more data has been created in the past two years than in the entire previous history of the human race.
    2. Data is growing faster than ever before and by the year 2020, about 1.7 MB of new […]

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  • Industry Use in Apache Hadoop

    1. One of the biggest use of Apache hadoop in the world is to tackle the big data and provide a scalable solution to store all type of data with consistency.
    2. How is data loss affecting the world?
    Ans. Lets take […]

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  • Big data hadoop facts

    1. Big data is not a technology but it is the name of a problem.
    A problem which the world has been encountering since many years.
    2. What is big data?
    Ans. Facebook gets a lot of data every day from its millions […]

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  • Big data Hadoop Industrial Training

    Big data Hadoop
    All industry or business produce, store and manage the data base because data is source and without data nobody can think about business. Whenever we create and store giant information and data we have to use and analysis […]

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  • Big data Hadoop Training for I.T./C.S.E.

    To gather, store, manage, process and analyze the massive amount of unstructured data developers have presented a data base management system technology that technique stronger than other standard technique of data handling and processing. Big data Hadoop is that the […]

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  • Big data

    Big data Hadoop is use for the management of large number of unstructured data. Hadoop open source platform technology and it is very successive and popular method predominantly anticipated for business and social organization and usage of Big Data. With […]

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  • Bigdata Hadoop Training

    The main motive behind Hadoop Apache Technology is to reduce complication and duplicate data, generate and manage huge volume of data and simplify the process in minimum expenditure. This is an open source software framework help enterprises to reach their […]

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  • Bigdata Hadoop Training in Jaipur

    Today’s, lots of technologies are used to manage large number of database and one of the most successful technologies is Big data Hadoop to create, control and maintain data, because it can analyze, regulate and manipulate data with excellent accuracy. […]

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  • Hadoop and Big Data

    Hadoop and Big Data are dramatically impacting business, yet the exact relationship between Hadoop and Big Data remains open to discussion.
    Hadoop and Big Data are in many ways the perfect union – or at least they have the potential to be.
    Hadoop […]

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