What Is Big Data And What Is Hadoop

[namesake]

agreed on the replacement factor.. RDBMS ippatlo replace ayye chance ledu.. they are good at what they do.. kani for some unsolvable loads, Hadoop is a good answer

yes thats true for example the number of clicks you make on your mouse when you purchase something etc alantivadtiki Hadoop is the best

[namesake]

so Teradata and other big data bases ni Hadoop or Big data replace cheyadantava market lo after few years?  Teradata ki inka enni yr untadanukuntunnav life?

 

 

no your completely misunderstood about Hadoop

Hadoop is not a dataware house where as TD is DW

Please see this article, hope this helps

 

http://assets.teradata.com/resourceCenter/downloads/WhitePapers/EB-6448.pdf?processed=1

to be more specific 

 

Hadoop isn't a database at all.

 

Hadoop is basically a distributed file system (HDFS) - it lets you store large amount of file data on a cloud of machines, handling data redundancy etc. 

 

On top of that distributed file system, Hadoop provides an API for processing all tat stored data - Map-Reduce.

 

he basic idea is that since the data is stored in many nodes, you're better off processing it in a distributed manner where each node can process the data stored on it rather than spend a lot of time moving it over the network.

 

Unlike RDMS that you can query in realtime, the map-reduce process takes time and doesnt produce immediate results.

[Vinuu]

ltt

[KeyserSoze]

what abt security aspect of Hadoop?..looks a little less secure compared to traditional RDMS. 

Industries with sensitive data might not prefer Hadoop like banking and finance.

[xxxmen]

what abt security aspect of Hadoop?..looks a little less secure compared to traditional RDMS. 

Industries with sensitive data might not prefer Hadoop like banking and finance.

Till now they are just using for analytics and future predictions acc to market daa

[ColinKaepernick]

Hadoop is completely different when you compare to Teradata

Hadoop = unstructured data and TD = structured data 

There is no comparison between TD and Hadoop(as they are completely different), Teradata handles large amount of data for example ebay/paypal data in Teradata is around 1.2 Peta Bytes and I guess this is proof that TD can  handle large amount of data.

Hey buddy i don't know much about Teradata..i just mentioned hadoop in relation with RDBMS(Sorry for that)

 

But hadoop is only used for only unstructured data????

No ..Completely wrong.

 

You can use Sqoop to migrate the data from RDBMS tables to HDFS..Perform the ETL operations using PIG or Map-reduce on those tables  and you can store into Hive tables and finally creating Dashboards or taking reports using BI tools like Tableau(This scenario works majorly in Datawarehousing projects)

[Vinuu]

GP

[namesake]

Hey buddy i don't know much about Teradata..i just mentioned hadoop in relation with RDBMS( sorry for that)

 

But hadoop is only used for only unstructured data????

No ..Completely wrong.

 

You can use Sqoop to migrate the data from RDBMS tables to HDFS..Perform the ETL operations using PIG or Map-reduce on those tables  and you can store into Hive tables and finally creating Dashboards or taking reports using BI tools like Tableau(This scenario works majorly in Datawarehousing projects)

Hadoop is mostly used with unstructured data only being that said, that doesnt mean that we cant use Hadoop for structured data but when it comes to structured huge data then the performance is low than Oracle and forget about comparison with Teradata.