Sunday, October 26, 2014
Thursday, October 9, 2014
What are the elements of a Business Case
1. Project Title and Description
2. Project Manager Assigned and Authority Level
3. Business Case
4. Resources Preassigned
5. Stakeholders
6. Stakeholder Requirment as know
7. Product description/Deliverables
8. Assumptions
9. Contraints
10. Measureable Project Objectives
11. Project Approval Requirements
12. High Level Project Risks
13. Project Sponosors
Wednesday, October 8, 2014
PMP - Procurment Management / Contract Types
Fixed Price:
---------------
FP = Fixed Price
FPIF = Fixed Price Incentive Fee
FPAF = Fixed Price Award Fee Adjustment
FPEPA = Fixed Price Economic Price Adjustment
Cost Plus:
-------------
CPF/CPPC = Cost Plus Fee/Cost Plus Percentage of Cost
CPFF = Cost Plus Fixed Fee
CPIF = Cost Plus Incentive Fee
CPAF = Cost Plus Award Fee
Others:
----------
T&M = Time & Material
CR = Cost Reimbursable
CC = Cost Contract

Thursday, September 18, 2014
Wednesday, September 17, 2014
Sunday, September 14, 2014
PMP Process, Inputs & Outputs, Tools & Techniques - Full Single Page Diagram
Full process chart with knowledge areas, tools & techniques, inputs and outputs.
Click here to download
PMP Exam Preparation
If you are preparing for PMP exam, remembering all the process, tools & techniques and outputs will be a challenging task.
I found this matrix chart on http://www.proplanx.com/ and it think its quite useful. You must try this.
I found this matrix chart on http://www.proplanx.com/ and it think its quite useful. You must try this.
You can register and download this chart for free from http://www.proplanx.com/ Goto Free & then PMP Resources section.
Sunday, September 7, 2014
Software Development for Medical Devices
Until recently, safety regulations for medical device software, at least formally, were not exceptionally rigorous across the board. In addition, software was not formally classified as a medical product by the Medical Devices Directive. This has now changed. A new regime is in force governing all medical device software development for all classes of device.
Very good article on software development of medical devices click here to read.
Tuesday, September 2, 2014
Data Mining Algorithms
Choosing the Right Algorithm
Choosing the best algorithm to use for a specific analytical task can be a challenge. While you can use different algorithms to perform the same business task, each algorithm produces a different result, and some algorithms can produce more than one type of result. For example, you can use the Microsoft Decision Trees algorithm not only for prediction, but also as a way to reduce the number of columns in a dataset, because the decision tree can identify columns that do not affect the final mining model.
Choosing the best algorithm to use for a specific analytical task can be a challenge. While you can use different algorithms to perform the same business task, each algorithm produces a different result, and some algorithms can produce more than one type of result. For example, you can use the Microsoft Decision Trees algorithm not only for prediction, but also as a way to reduce the number of columns in a dataset, because the decision tree can identify columns that do not affect the final mining model.
Choosing an Algorithm by Type
Analysis Services includes the following algorithm types:
-
Classification algorithms predict one or more discrete variables, based on the other attributes in the dataset.
-
Regression algorithms predict one or more continuous variables, such as profit or loss, based on other attributes in the dataset.
-
Segmentation algorithms divide data into groups, or clusters, of items that have similar properties.
-
Association algorithms find correlations between different attributes in a dataset. The most common application of this kind of algorithm is for creating association rules, which can be used in a market basket analysis.
-
Sequence analysis algorithms summarize frequent sequences or episodes in data, such as a Web path flow.
Analysis Services includes the following algorithm types:
- Classification algorithms predict one or more discrete variables, based on the other attributes in the dataset.
- Regression algorithms predict one or more continuous variables, such as profit or loss, based on other attributes in the dataset.
- Segmentation algorithms divide data into groups, or clusters, of items that have similar properties.
- Association algorithms find correlations between different attributes in a dataset. The most common application of this kind of algorithm is for creating association rules, which can be used in a market basket analysis.
- Sequence analysis algorithms summarize frequent sequences or episodes in data, such as a Web path flow.
Sunday, August 31, 2014
Types of Software Testing
What kinds of software testings you have been doing?
- Performance Testing
- Security Testing
- Exploratory Testing
- Benefits Realization Testing
- Mutation Testing
- Sanity testing
- Build Acceptance Tests
- Smoke Tests
- Bug Regression Testing
- Database Testing
- Functional Testing (or) Business functional testing
- User Interface Testing (or) structural testing
- Volume Testing
- Stress Testing
- Load Testing
- Installation Testing
- Configuration Testing
- Compatibility Testing
- Documentation Testing
- Recovery/Error Testing
- Comparison Testing
- Acceptance Testing
- Alpha Testing
- Beta Testing
- Regression Testing
- Incremental Integration Testing
- Usability Testing
- Integration Testing
- System Testing
- Parallel/Audit Testing
- Blackbox Testing
- Whitebox Testing
- Stress Testing
- Alpha Testing
- Beta Testing
Saturday, August 30, 2014
What is Your Leadership Style?
- Autocratic leadership?
- Bureaucratic leadership?
- Charismatic leadership?
- Democratic leadership or participative leadership?
Saturday, July 19, 2014
Create your own simple node.js server, in few steps!
- Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
- Download node.js (http://nodejs.org/)
- Install it on your machine.
- Create a file for example server.js
- Write following code in it.
- Save the file.
- Go to command prompt and type following command
- You will get message "My Server Started".
- Go to browser and type following URL
- You will get message "Welcome to My Server!"
Friday, July 11, 2014
A Quick Look at Amazon's AWS Services
In 2006, Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now commonly known as cloud computing. One of the key benefits of cloud computingis the opportunity to replace up-front capital infrastructure expenses with low variable costs that scale with your business. With the Cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster.
Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Brazil, Singapore, Japan, and Australia, customers across all industries are taking advantage of the
Services being provided by Azure:-
Compute & Networking:
- Direct ConnectAWS Direct Connect lets you establish a dedicated network connection from your network to AWS.
- VPCAmazon Virtual Private Cloud (VPC) lets you launch AWS resources in a private, isolated cloud.
- EC2Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud.
- WorkSpacesAmazon WorkSpaces is a fully managed desktop computing service in the cloud.
Storage & Content Delivery:
- CloudFrontAmazon CloudFront provides a way to distribute content to end users with low latency and high data transfer speeds.
- Storage GatewayAWS Storage Gateway securely integrates on-premises IT environments with cloud storage for backup and disaster recovery.
Database:
- DynamoDBAmazon DynamoDB is a scalable NoSQL data store that manages distributed replicas of your data for high availability.
- RedshiftAmazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that lets you efficiently analyze all your data using your existing business intelligence tools.
Analytics:
- CloudFormationAWS CloudFormation lets you create and update a collection of related AWS resources in a predictable fashion.
- Elastic BeanstalkAWS Elastic Beanstalk is an application container for deploying and managing applications.
- CloudTrailAWS CloudTrail provides increased visibility into user activity by recording API calls made on your account.
- IAMAWS Identity and Access Management (IAM) lets you securely control access to AWS services and resources.
App Services:
- AppStreamAmazon AppStream lets you stream resource intensive applications and games from the cloud to multiple end-user devices.
- SESAmazon Simple Email Service (SES) is a bulk and transactional email-sending service.
- SWFAmazon Simple Workflow (SWF) coordinates all of the processing steps within an application.
A Quick look at Microsoft Azure Services
Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
Services being provided by Azure:
Compute
Data Services
App Services
Network Services
Tuesday, March 11, 2014
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