Although Scrum has been around for more than 21 years, and is practiced by more than an estimated 18 million people around the world, we are always learning. Over the years, many myths about Scrum have surfaced; some of which may lead your team astray.

In this 1-hour interactive webinar, it is covered:

  • Common myths and misconceptions about Scrum
  • The Scrum framework according to the Scrum Guide
  • How to implement Scrum concepts using Axosoft
  • You’ll walk away with a clear understanding of how to achieve your Scrum team’s objectives using leading tools and trusted resources.

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We'll compare characteristics of Plan Driven and Agile Software Development so that we know where these things came from and what we can expect out of them. What we ultimately came to understand as Plan Driven or Waterfall Software Development originated with the 1979 IEEE paper from Winston Royce "Managing the Development of Large Software Systems.

The idea of Waterfall was that one phase wouldn't begin until the previous was complete. However, if your team moves from coding phase to testing phase then things will have implications back in the development phase (so we found a bug, he'll fix it).

Another very interesting thing the longer the project goes on, the more the design is going to be understood and fleshed out. Therefore, you can never design a system in the beginning and understand it all the way through to its completion. The design of a system will evolve the more we understand the better requirements.

Software development teams are focused on delivering pieces of a product. The last thing most of them want to do is be in meetings. One thing that's going to take them away from doing that is being in a meeting. So what scrum does really well is provide the minimum set of meetings necessary.

All events are timed boxed events that are such that every event has a maximum duration depenting on sprint duration:

The term "System Development Life Cycle" or SDLC' is an standard industry term used in systems engineering, information systems and software engineering to describe a process for planning, creating, testing, and deploying an information system.

Each of the phases has a series of events or steps that are completed in order to arrive at the final product. It comprises of 5 phases:

The Planning Phase

  • Defining the problem
  • Setting project objectives
  • Identifying constraints
  • Creating project proposals
  • Establishing control mechanisms

The Analysis Phase

  • Creating the project team
  • Idefining information needs
  • Identification and evaluation of sources of information
  • Identification and description of the types of information needed to analyse the system
  • Identification and description of problem areas in the current system
  • Information flow and needs documented using system modeling tools
  • Identification and description of problem areas in the current system
  • Defining system performance
  • Creating a design proposal

The Design Phase

  • Factors to be considered when designing the output requirements
  • Factors to be considered when designing the input requirements
  • Processing requirements
    Evaluating alternative system configurations
  • Select best configuration
  • Prepare implementation proposal

The Implementation Phase

  • Planning and announcing the implementation
  • Acquisition of new equipment (H/W and S/W)
  • Preparing the physical facilities
  • Educating users
  • Developing an implementation schedule
  • Commissioning of the new system

The Use/Evaluation Phase

  • Using the system
  • Auditing the system
  • Maintaining the system
  • Re-engineering proposals

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We are talking about 6 GPU Ethereum Mining Rig Guide / Low Budget. Ethereum mining are profitable these days many people are using ethereum for mining but there is some huge investment on start up, so what you need is detailed guide about cheap ethereum mining rig with less budget. Once this rig is fully assembled and configure properly, it is capable of generating around 9,000$ yearly, and if you live in Republic of Srpska, because of cheaper electric power costs, maybe even more.

From May 14 – 16, 2019 I attended workshop "Meeting the Challenges of Big Tax Data and Analytics" that is held in Center of Excellence in Finance - CEF, Ljubljana, Slovenia.

AGENDA:

  1. Big Data and Data Warehousing and Analytics
    1. What are the preconditions to start such a project?
    2. Possible approaches for start
    3. Some insights from an IT perspective
  2. Data mining application issues in income indicators audits - Experience from Italy
  3. Analytics and How We Build Capability on Analytics
    1. Experience from The Norwegian Tax Administration
  4. Digitalization – from paper to smart applications
  5. Predictive Models in Risk Assessment
    1. Use of AI in The Norwegian Tax Administration
  6. Use of Big Data - Introduction of the Progressive Personal Income Tax in 2018
    1. Experience from Ministry of Finance, North Macedonia
  7. Use of Big Data – Design of the Measure for Support for Wage Increase in 2018
    1. Experience from Ministry of Finance, North Macedonia

More details of this workshop you can find here: https://centerofexcellenceinfinance.exposure.co/meeting-the-challenges-of-big-tax-data-and-analytics 

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