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Answered on 15 Jul IT Courses/Big Data

Is it really recommended to join an institute to learn big data with Hadoop, or can it be self-taught?

TechNinzaz

Hi Sarala, Its always beneficial when you get trained by someone from the industry. You get clear exposure to the respective technology. Thanks, Team TechNinzaz www.techninzaz.com

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Answered on 20 Jul IT Courses/Big Data

What are the best ways to evolve yourself into becoming a data scientist?

Sharthak acharjee

Trainer

there are several things which you need to know before you call yourself as a data analyst. bigdata hadoop,python,R,Scala,Mahout.

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Answered on 16 Jul IT Courses/Big Data

What are some recent big data project ideas I can build on my own that will look good on my CV?

Sayantan Dash

Hadoop ,Bigdata And Analytics Trainer

Data integration project , Data analysis using Hive ,Pig .

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Answered on 15 Jul IT Courses/Big Data

To develop a dsktp appln which have User session, data from AWS & showing the data on charts on the dashboard....

TechNinzaz

Hi Guru, Use ionic and Angular combination you can develop a fast scalable responsive desktop application later on based upon requirement you can package it as a mobile app as well for all the major platforms. Thanks, Team TechNinzaz www.techninzaz.com

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Answered on 14 Jul IT Courses/Big Data

What are data modeling machine with examples?

SV Tech Soft

Tutor

Conceptual Data Modeling - identifies the highest-level relationships between different entities. Enterprise Data Modeling - similar to conceptual data modeling, but addresses the unique requirements of a specific business. Logical Data Modeling - illustrates the specific entities, attributes and relationships involved in a business function. Serves as the basis for the creation of the physical data model. Physical Data Modeling - represents an application and database-specific implementation of a logical data model.

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Answered on 14 Jul IT Courses/Big Data

What are all the software we need to install for Hadoop?

SV Tech Soft

Tutor

Hadoop runs well on Linux. The operating systems of choice are: RedHat Enterprise Linux (RHEL): This is a well tested Linux distro that is geared for Enterprise. Comes with RedHat support CentOS: Source compatible distro with RHEL. Free. Very popular for running Hadoop. Use a later version (version 6.x). Ubuntu: The Server edition of Ubuntu is a good fit -- not the Desktop edition. Long Term Support (LTS) releases are recommended, because they continue to be updated for at least 2 years. Java Hadoop is written in Java. The recommended Java version is Oracle JDK 1.6 release and the recommended minimum revision is 31 (v 1.6.31). So what about OpenJDK? At this point the Sun JDK is the 'official' supported JDK. You can still run Hadoop on OpenJDK (it runs reasonably well) but you are on your own for support :-)

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