SapHanaTutorial.Com HOME     Learning-Materials Interview-Q&A Certifications Quiz Online-Courses Forum Jobs Trendz FAQs  
     Explore The World of Hana With Us     
About Us
Contact Us
 Apps
X
HANA App
>>>
Hadoop App
>>>
Tutorial App on SAP HANA
This app is an All-In-One package to provide everything to HANA Lovers.

It contains
1. Courses on SAP HANA - Basics, Modeling and Administration
2. Multiple Quizzes on Overview, Modelling, Architeture, and Administration
3. Most popular articles on SAP HANA
4. Series of Interview questions to brushup your HANA skills
Tutorial App on Hadoop
This app is an All-In-One package to provide everything to Hadoop Lovers.

It contains
1. Courses on Hadoop - Basics and Advanced
2. Multiple Quizzes on Basics, MapReduce and HDFS
3. Most popular articles on Hadoop
4. Series of Interview questions to brushup your skills
Apps
HANA App
Hadoop App
';
Search
Stay Connected
Search Topics
Course Index
Close
X
Hadoop Basics
Course Overview
1. Big Data
2. Introduction to Hadoop
3. Hortonworks SandBox Installation
4. Run Your First "Hello World Example"
5. Hadoop Core Components
6. Hadoop Programming Language (HIVE, PIG)
7. Installation of ODBC Hive Driver in Windows 7
8. A Real World Business Example of Hadoop
9. What is Next?
<< Previous
Next >>
2.3 Top Reasons Why Companies Implement Hadoop

Hadoop Basics
    1. Economical (Cost Effective):
      • No license
      • It's an open source framework ,
      • If you buy it from Cloudera, Hortonworks., Mapaa, which are different distributions of Hadoop then also its totally free.
    2. Flexible:
      • Hadoop is schema-less, and can absorb any type of data, structured or not, from any number of sources.
      • Data from multiple sources can be joined enabling deeper analyses than any one system can provide.
    3. Scalable:
      • New nodes can be added without needing to change data formats, how data is loaded, how jobs are written, or the applications on top.
      • You can add as many number of nodes as you want depending upon the data size and business requirement.
      • Can process really large data (petabytes)
    4. Solves Big data 3Vs problem:
      • Refer to the chapter one for Big data 3Vs problem
    5. Reliable and Fault Tolerant:
      • When you lose a node, the system redirects work to another location of the data and continues processing without missing a beat.
      • Handles replication
    6. Smart
      • Optimized Compression
      • Query Expression
      • Columnar Caching
In the next chapter we will learn how you can install and configure your personal Hadoop environment (Hadoop Hortonworks SandBox).
<< Previous
Next >>

Leave a Reply

Your email address will not be published. Required fields are marked *

Current day month ye@r *

 © 2017 : saphanatutorial.com, All rights reserved.  Privacy Policy