Assalamualaikum & Goodevening Dear Blog Readers,
Lately the whether in my area here was raining for 2 days straight and this morning I get a glimpse of The Sunlight till later at 2 o'clock the whether start to became cloudy till present. The tests last week I sat was not to good but not to bad as well, there still one last test this week on Friday Finance 242 a couple of hours right before 7.30pm I am flying of to Shah Alam to rest my head from this university stress a week at least and focused to rest,sew,piano and helping ma' parents. Ain't to not mentioned that I am gonna continue watching the drama 7 Hari Mencintaimu with my mum, shes thrilling excited to watch since my home has no subscribed TV channels for a year and a half but that could not be bother more or less when we watched downloadable movies directly via USB.
WELCOME TO THE OFFICIAL CHAPTER 8 !!!
Coincidence I've also completed this chapter in a 2 hours class yesterday 24.1.2017 on WEEK 8 as well.
Chapter 8 mainly explains what is Data Warehouse actually,
What is Data Warehouse?
It is a logical collection of information which is gathered from many different operational databases which supports business analysis activities and decision making tasks
What is the Data Warehouse purpose?
Its purpose is to aggregate information throughout an organization into a single repository for decision making process.
The Fundamentals.......
- Extraction, Transformation, and Loading (ETL)
A process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
- Data Mart
It contains a subset of data warehouse information.
- The Data Warehouse Model
Multidimensional Analysis and Data Mining
The databases contain information in a series of two dimensional tables. In a data warehouse and data mart, information is multidimensional which contains layers of columns and rows.
- Cube
Common term for representation of multi dimensional information.
- Data Mining
The process of analyzing data to extract information not offered by the raw data alone.It uses data-mining tool which it a variety of techniques to find patterns and relationships in large volumes of information and infers rules that predict future behavior and guide decision making.
Information Cleansing or Scrubbing
A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.
Business Intelligence (BI)
An information that people use to support their decision making efforts
The principles of BI are :
- Technology
Even the smallest company with BI software can do sophisticated analyses today that were unavailable to the largest organizations a generation ago.
The largest companies today can create enterprisewide BI systems that compute and monitor metrics on virtually every variable important for managing the company.
- People
Understanding the role of people in BI allows organizations to systematically create insight and turn these insights into actions.
Organizations can improve their decision making by having the right people making the decisions. This usually means a manager who is in the field and close to the customer rather than an analyst rich in data but poor in experience.
- Culture
A key responsibility of executives is to shape and manage corporate culture. The extent to BI attitude flourishes in an organization depends in large part on the organization's culture.
Thank You for reading till
Lately the whether in my area here was raining for 2 days straight and this morning I get a glimpse of The Sunlight till later at 2 o'clock the whether start to became cloudy till present. The tests last week I sat was not to good but not to bad as well, there still one last test this week on Friday Finance 242 a couple of hours right before 7.30pm I am flying of to Shah Alam to rest my head from this university stress a week at least and focused to rest,sew,piano and helping ma' parents. Ain't to not mentioned that I am gonna continue watching the drama 7 Hari Mencintaimu with my mum, shes thrilling excited to watch since my home has no subscribed TV channels for a year and a half but that could not be bother more or less when we watched downloadable movies directly via USB.
WELCOME TO THE OFFICIAL CHAPTER 8 !!!
Coincidence I've also completed this chapter in a 2 hours class yesterday 24.1.2017 on WEEK 8 as well.
Chapter 8 mainly explains what is Data Warehouse actually,
What is Data Warehouse?
It is a logical collection of information which is gathered from many different operational databases which supports business analysis activities and decision making tasks
What is the Data Warehouse purpose?
Its purpose is to aggregate information throughout an organization into a single repository for decision making process.
The Fundamentals.......
- Extraction, Transformation, and Loading (ETL)
A process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
- Data Mart
It contains a subset of data warehouse information.
- The Data Warehouse Model
Multidimensional Analysis and Data Mining
The databases contain information in a series of two dimensional tables. In a data warehouse and data mart, information is multidimensional which contains layers of columns and rows.
- Cube
Common term for representation of multi dimensional information.
- Data Mining
The process of analyzing data to extract information not offered by the raw data alone.It uses data-mining tool which it a variety of techniques to find patterns and relationships in large volumes of information and infers rules that predict future behavior and guide decision making.
Information Cleansing or Scrubbing
A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.
Business Intelligence (BI)
An information that people use to support their decision making efforts
The principles of BI are :
- Technology
Even the smallest company with BI software can do sophisticated analyses today that were unavailable to the largest organizations a generation ago.
The largest companies today can create enterprisewide BI systems that compute and monitor metrics on virtually every variable important for managing the company.
- People
Understanding the role of people in BI allows organizations to systematically create insight and turn these insights into actions.
Organizations can improve their decision making by having the right people making the decisions. This usually means a manager who is in the field and close to the customer rather than an analyst rich in data but poor in experience.
- Culture
A key responsibility of executives is to shape and manage corporate culture. The extent to BI attitude flourishes in an organization depends in large part on the organization's culture.
Thank You for reading till
After 6th February 2017
HAPPY CHINESE NEW YEAR !!!