BlackRock Aladdin – 25m lines of code

•September 16, 2014 • Leave a Comment

BlackRock’s Aladdin is an interesting platform, offering dedicated client environments amongst other things.  Anyone know what the codebase is written in?   Coupled of interesting reads on Aladdin:

  • BlackRock’s Aladdin: More Powerful Than Politics?
  • BlackRock’s Aladdin: genie not included

Protocol Buffer – Backward Compatibility

•September 16, 2014 • Leave a Comment

Worth remembering:

  • you must not change the tag numbers of any existing fields.
  • you must not add or delete any required fields.
  • you may delete optional or repeated fields.
  • you may add new optional or repeated fields but you must use fresh tag numbers (i.e. tag numbers that were never used in this protocol buffer, not even by deleted fields).

Apple Pay – $40 billion Slice

•September 16, 2014 • Leave a Comment

MoneyWeek has an interesting angle on the recent iPhone 6 announcement.  The game changer being Apple Pay.  This is Money offers a further view on Apple Pay.

Market share is however the influencer.  Could Google copy the concept, and with its market share?

Commodore PET – Blast From The Past

•September 4, 2014 • Leave a Comment

Some of us started on these, learning CECIL.

CommodorePet

Scaling Agile

•September 3, 2014 • Leave a Comment

A few interesting articles worth a read:

  • Scaling Agile at Gilt
  • Agile PMO – Triangle of Truth :)
  • The new user story backlog is a map

 

Distributed Systems

•August 28, 2014 • Leave a Comment

Few interesting articles recently on distributed systems:

  • The Space Between Theory and Practice in Distributed Systems
  • Distributed systems theory for the distributed systems engineer

Of particular interesting:

How you decide whether an event happened before another event in the absence of any shared clock. This means Lamport clocks and their generalisation to Vector clocks, but also see the Dynamo paper.

And then there is the coolness of state machines:

Distributed state machine replication (Wikipedia is ok, Lampson’s paper is canonical but dry).

 

Legacy Data

•August 27, 2014 • Leave a Comment

Dave McCrory has an interesting presentation on InfoQ which discusses enterprise platform as a service.  Slide 23 onwards discusses legacy data, and the issues associated with data consumption.  Master Data Management is also discussed in the deck.  Which leads to a New York Times article, “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights”.

Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in this more mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets.

 

 

 
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