Data Lake - Why ?? What & How ??

What  pushes customers for Data  lake today . Majority  of CDO expressed their concerns . Thought to share for benefit of all. Few pointers which  i came during my engagements  with people who matter :

Data  lake creation with  legacy sources  built on  traditional application tier concepts.Willingness to make to  DR and  workaround  Hadoop file systems limitations.

Companies faces problems with  Interoperate ability   and  willingness to move  to  CPA ( Common Hadoop Platform Architecture).As  business faces problems with  Multiple  DB’s , different  genre of Platforms  .Issues  with  SLA , performance  guarantee  and    compliance needs become a real business pain. DWO  Offload  to  No –SQL  and Hadoop Service Orchestration are no more  buzz words.It is  the need of the hour.

Some  CIO's  and CTO's  explained the night-mares on  creating  or attempting a  Big Data Project.

Dark Data  - with   no common Data model is one  heck of challenge to manage.

CPE -  Customer  Centric Platform  (  Application  owners )  who needs to  use data extensively. UX- CX  interfaces to build on  centralized  Data lake.Companies are missing  the entire   Data realms, Data definitions ,contextualization logic &   capability to build a common data model.

World of unstructured : Leave the  Buzz  created  by Data vendors  :).Companies face the inability  to  address unstructured data points,  Data silos and data quality  requirements.Adding to the  laundry list is the Compliance,  Growth  & Inability to manage.

 How  do we  do it ??  Let me  explain the suspense in the next  article :).. Good things are worth  a wait..Stay tuned .. Keep reading.