Category: Big Data

Big Data Touching the Main Stream

On By altdatamineIn Big Data, UncategorizedLeave a comment

With AWS being advertised as the stats provider for the NFL and contests like this, “Big Data” seems to be hitting the mainstream.

“The NFL’s inaugural Big Data Bowl is here. This sports analytics contest from NFL Football Operations is looking for talented members of the analytics community — from college students to professionals — to contribute to the NFL’s continuing evolution in the use of advanced analytics.”

https://operations.nfl.com/the-game/big-data-bowl/

 

Top Execs on Their Big Data and AI Initiatives

On By altdatamineIn AI / Machine Learning, Big DataLeave a comment

Some great points here on how far we have to go:
– 69.0% of firms report that they have not created a data-driven culture
– 53.1% of firms state they are not yet treating data as a business asset
– The biggest challenges to the business adoption of Big Data and AI initiatives stem from  multiple factors — organizational alignment, agility, resistance — with 95.0% stemming from cultural challenges (people and process), and only 5.0% relating to technology

https://www.forbes.com/sites/ciocentral/2019/01/02/what-we-learned-from-top-execs-about-their-big-data-and-ai-initiatives/#4e41c3b3452a

#bigdata #ai

A great discussion of the reality of data lakes, data warehouses and how the future is distributed.

On By altdatamineIn Big Data, Future of DataLeave a comment

I’m picking some points from the discussion, but I have really liked what is said here.  The participants approach the topics with great practicality devoid of the overly rosy sales discussions.

  • The data lake is not a full data integration, it’s just one level of refinement.
  • The data warehouse is not the center anymore, the future is distributed. The amount of data outside the data warehouse is bigger than what’s stored inside.
  • Most companies have accidental data architectures. Now they need to remodel their data architectures looking for synergies between different systems.
  • The data warehouse, the data lakes, and analytics; all of it needs DataOps.

https://www.eckerson.com/articles/daniel-graham-data-lakes-vs-data-warehouses

#DataLake #DataWarehouse #Analytics #BigData