Top Execs on Their Big Data and AI Initiatives

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

AWS Certified Big Data – Specialty (BDS-C00) Practice Exams

Those that work with me know I like a good quiz to test my knowledge.  I’ve passed a number of these tech certifications in the past and am relaying some of my secrets of success on in a set of Udemy practice exam tests related to the AWS Big Data Specialty certification.

It includes three, 50 question exams and a guide related to how to study, it too is a short quiz.  I created this due to the fact that I had taken a few other prep classes for this that did little to prepare me for many of the subjects on the exam.

The link below will get you a discount for the first 100 signups.  The exam package normally costs $34.99, but if you click on the link your cost will be $20.99.

https://www.udemy.com/bds-c00-aws-big-data-specialty-exam-by-altdatamine/?couponCode=ALTDM19

#AWS #Certification #BigData #BrainDump #ExamPrep

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

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

Meshing into the future…

I wanted to start this blog as a way to combat the formula obsessed, corporate zealots that infect most workplaces.  Those who declare that this is the way we have always done it or hand out large leviathans of consultant created fluff as their own ideas.

I think success comes from listening to your colleagues and meshing your ideas of success and useful technologies for a better future.  If someone can use Excel to create a better retention model than your best data scientists, let’s hear it out and move forward.  Let the marketplace of ideas rule and mesh ourselves into the best that we can be rather than close ourselves off to the unknown or less polished.

I may not be alone.

https://www.linkedin.com/pulse/meshing-why-trends-predictions-out-window-dilan-rajasingham/

#Analytics #BigData