Software Wasteland and The Data-Centric Revolution – Technics Publications
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Software Wasteland and The Data-Centric Revolution
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A Duology by Dave McComb<br>The Data-Centric Revolution: Restoring Sanity to Enterprise Information Systems<br>Shift from application-centric to data-centric to enable your organization to develop more efficient and successful Enterprise Information Systems.
Software Wasteland: How the Application-Centric Mindset is Hobbling our Enterprises<br>Know what’s causing application development waste so you can turn the tide.
Topics
Software Wasteland Topics
CHAPTER 1: How bad is it?<br>Waste in the information systems industry<br>Industries that clean up the waste<br>A thought experiment on waste<br>How to spend a billion dollars on a million-dollar system
CHAPTER 2: The hidden levers driving waste<br>How to think about information systems resources<br>How information system costs really behave
CHAPTER 3: The application-centric mindset<br>Dependency<br>Redundancy<br>Complexity<br>Application centricity and complexity math
CHAPTER 4: Why what we’ve tried before hasn’t helped<br>Relational databases<br>ERP systems<br>Enterprise data modeling<br>Service-oriented architecture and APIs<br>Agile<br>Data warehouse and business intelligence<br>Outsourcing and offshoring<br>Cloud<br>Software as a Service (SaaS)<br>Data lakes<br>Machine learning and artificial intelligence
CHAPTER 5: How we stay trapped<br>Fallacy # 1: Detailed requirements<br>Fallacy # 2: Reinvent the wheel<br>Fallacy # 3: Construction analogy<br>Fallacy # 4: Estimation by analogy<br>Fallacy # 5: One neck to choke<br>Fallacy # 6: Portfolio management<br>Fallacy # 7: Not in the IT business
CHAPTER 6: The quagmire by sector<br>How the quagmire looks for government<br>The death and rebirth of the software industry<br>Two industries under siege<br>Outsourcing<br>Offshoring<br>The new platform vendors<br>How application centricity robs productivity
CHAPTER 7: Turning the tide<br>Assessment<br>Starting to extricate yourself
The Data-Centric Revolution Topics<br>Chapter 1: The Data-Centric Movement<br>This movement requires executive sponsorship<br>If you are not an executive
Chapter 2: What is Data-Centric?<br>Data-centric vs. Data-driven<br>We need our applications to be ephemeral<br>Data-centric is designed with data sharing in mind<br>The Data-Centric vision<br>Evolve-able<br>Specialize-able<br>Single but federated<br>Enterprise app store<br>Includes all types of data<br>The economics of the end game
Chapter 3: Getting There<br>What it requires<br>Inertial resistance<br>Overt and covert resistance<br>What it doesn’t require<br>This is a program, not a project<br>The transition requires discipline and consistency<br>The IT fashion industry<br>Is the Data-Centric approach a fad?<br>Can Data-Centric methods benefit from other fads?<br>From Fad Surfing to New Discipline<br>New modeling discipline<br>New delivery architecture
Chapter 4: Why We Need This Now<br>The status quo is getting exponentially worse<br>Code creates maintenance<br>Complexity creates high priests<br>Application-centricity creates silos<br>Silos create the need for integration<br>Legacy creates entrenchment<br>Inflexibility creates shadow IT<br>Mega projects create mega failures<br>Where application complexity comes from<br>A case example in complexity<br>Separation and isolation<br>Humans in the loop<br>The negative network effect<br>Complexity math and the way out of the quagmire
Chapter 5: A Deeper Look at Data-Centric Approaches<br>It’s the data, stupid<br>Task-centric is a trap<br>It’s the stupid data<br>The “what if” view on Data-Centric methods<br>Fewer models<br>Simpler models<br>Integration almost for free<br>More flexibility
Chapter 6: A Paradigm Shift<br>Paradigm shift<br>The original paradigm shift<br>How new ideas take hold<br>Round earth<br>Heavier than air flight<br>Scurvy<br>Hand washing before the germ theory<br>Non-linear change<br>Who is not going to help with your transformation?<br>Digital transformation<br>The herd<br>Social proof<br>Incentives
Chapter 7: Case Studies<br>S&P market intelligence<br>Sokil
Chapter 8: Linked Data<br>When Linked Data becomes Data-Centric<br>Separating meaning from structure<br>A single structure for expressing all data<br>Graph databases (triple stores) for structures<br>RDF Resource Description Framework<br>Global identifiers<br>Dealing with non-unique but...