Data has the power to transform everything it touches in business. However, it’s not the raw data that leads to better outcomes. It’s how you make use of the data you have at your disposal. Indexing your Data is very important if you want to quickly fetch data & create better result from queries, it helps you to generate better Data Analysis reports and much more. For indexing your data there are many tools available, but which will work best for you? which gives the best result?

1. INDEX
How to
Your
DATA
RIGHT

2. WHAT IS
INDEXING
IT IS A DATA STRUCTURE THAT IS
ADDED TO A FILE TO PROVIDE
FASTER ACCESS TO THE DATA.
IT REDUCES THE NUMBER OF
BLOCKS THAT THE S/w have TO
CHECK.
/

3. Benefits of
INDEXING
• INFORMATION RETRIEVAL
• GENERATING REPORTS
• QUICK SEARCH RESULTS
• INFORMATION RETRIEVAL TO AI

4. FURTHER EXPLORING
INDEXING

5. • Relational database Indexing
• Secondary AIndexing
• Secondary Indexing with RIAK (2i) &
Redis (sorted data set)
• Inverted Indexing
Types of
INDEXING

6. • What is Schema Less
Indexing?
RIGID SCHEMA
• PROBLEMS IN Schema
Less Indexing?
• HOW TO RESOLVE
THE PROBLEM?
• DOCUMENT DATA STORE

7. • FUZZY MATCH AUTO SUGGESTION
• SEARCH ENGINE SOLR Elastic Search
• Where DOes MONGODB
FIT IN?
• SHARDING
CLUSTERING
( & )
&
&

8. SCALING
• PROBLEMS WITH
SCALING
• HOW TO RESOLVE
THEM?

9. TOOLS FOR
INDEXING
• RIAK
• REDIS
• SOLR
• ELASTIC SEARCH
• MONGODB
• KIBANA, ES PLUGINS

10. DAY TO DAY
USE CASES

11. AVERAGE PRICE OF WHITE SHIRT
ON FLIPKART IS HIGHER THAN
THAT ON SNAPDEAL

15. LOGIN
AND
SYSTEM NETWORKING

16. STILL HAVE
QUESTIONS