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Tutorial App on SAP HANA
This app is an All-In-One package to provide everything to HANA Lovers.

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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.

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2. Multiple Quizzes on Basics, MapReduce and HDFS
3. Most popular articles on Hadoop
4. Series of Interview questions to brushup your skills
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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?
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1.4 How to Handle Big Data

Few initiatives to handle Big Data Challenges:

Some RDBMS has tried to solve these challenges which include SAP Sybase IQ. It uses column-store technology, enabling it to compress data efficiently, and a parallel processing approach on multiple servers to handle multi petabyte data stores.

Database appliances have been built to address these problems, including the SAP HANA database and SAP HANA software, which have demonstrated a greater than 20x compression rate where a 100 TB five-year sales and distribution data set was reduced to 3.78 TB and analytic queries on the entire data set ran in under four seconds.

Big Data and Hadoop:

As Big Data overwhelms traditional databases, storage and more, companies are looking to exploit new tools like Hadoop. The reality is that you want to avoid single device bottlenecks, since they inhibit scaling. Hadoop uses map-reduce to spread analytical processing across armies of commodity servers.

The other approach would be to use non-relational data store - HADOOP..
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