Lets first try to point your context. Your context can be near these below situations:
Lets try to think what can be the scope you can think for your context extend toward big data analytic:
1. Transactional Systems to HDFS ( Hadoop Distributed File System) to RDBMS data warehouse to OLAP based analytic server
2. Transactional Systems to RDBMS data warehouse to HDFS data mart to hive/impala to olap based analytic server
3. Transactional Systems to HDFS to hive/impala OLAP based analytical server
4. Transactional Systems to HDFS to big data api based analytical server
Lets try to match possible better match in context and scope of the journey.
if you are in context 5:
You are dealing a mature enterprise, already you have ETL (Extract, Transform then load) in place, here you can introduce Big data for ELT ( Extract, Load then transform), it will make transformation life easier as all data is in hdfs. Which is basically above scope 1. If your BI tool has big data plugin for hive or impala, you can adopt HDFS also there and impose OLAP layer on that for reporting so existing reports may work same.
If you are in context 2,3 or 4 then scope 3 sounds really a better option to me for you.
And in case of context 1 I think simple is to go with scope 4.
There can be several other combinations and possibilities may suite you enterprise better than I have portrait here. But I think it will give a clue to think before moving to Big data analytics adoption.
Mahmudur Rahman Manna
Founder of Mannaco Microsystems and Co-Founder of O' Source Bangladesh Ltd. , EUSIA BD Ltd. and Newgen Technology Limited.
Primary contributor to start Liferay development practice in:
Codemate and Zensar Technologies Limited.
Mentor and Hands on trainer of Liferay, Apache Ofbiz and Pentaho BI.
Professional Consultant of Agile practice establishment and build & release management automation.
Below are descriptions of above table:
1. You have a transactional system ( e.g. Billing or POS ) and it is using a RDBMS has its own reporting.
2. You have several transactional systems not integrated and they are using same/different sort of RDBMS each have their own reporting.
3. You have several transactional systems/ERP/CRM more or less integrated with each other or using a middleware server but still each have their own reporting
4. You have several transactional systems/ERP/CRM integrated with each other or using a middleware and you do not have separate reporting server
5. You have several transactional systems/ERP/CRM integrated with each other or using a middleware and you have a separate data warehouse with BI reporting server
Lets try to think what can be the scope you can think for your context extend toward big data analytic:
1. Transactional Systems to HDFS ( Hadoop Distributed File System) to RDBMS data warehouse to OLAP based analytic server
2. Transactional Systems to RDBMS data warehouse to HDFS data mart to hive/impala to olap based analytic server
3. Transactional Systems to HDFS to hive/impala OLAP based analytical server
4. Transactional Systems to HDFS to big data api based analytical server
Lets try to match possible better match in context and scope of the journey.
if you are in context 5:
You are dealing a mature enterprise, already you have ETL (Extract, Transform then load) in place, here you can introduce Big data for ELT ( Extract, Load then transform), it will make transformation life easier as all data is in hdfs. Which is basically above scope 1. If your BI tool has big data plugin for hive or impala, you can adopt HDFS also there and impose OLAP layer on that for reporting so existing reports may work same.
If you are in context 2,3 or 4 then scope 3 sounds really a better option to me for you.
And in case of context 1 I think simple is to go with scope 4.
There can be several other combinations and possibilities may suite you enterprise better than I have portrait here. But I think it will give a clue to think before moving to Big data analytics adoption.
Mahmudur Rahman Manna
A dedicated software engineer in java platform. Acting as Lead Software Architect internationally.
Founder of Mannaco Microsystems and Co-Founder of O' Source Bangladesh Ltd. , EUSIA BD Ltd. and Newgen Technology Limited.
Primary contributor to start Liferay development practice in:
Codemate and Zensar Technologies Limited.
Mentor and Hands on trainer of Liferay, Apache Ofbiz and Pentaho BI.
Professional Consultant of Agile practice establishment and build & release management automation.











