Python

4 Python List – Appending to a list

Appending Appending: Code #APPENDING TO LIST print("Copying list from one to another") my_favorite_foods = ['pizza', 'rice', 'cake'] friends_favorite_foods = my_favorite_foods[:] #APPEND print("Append new food items") my_favorite_foods.append('fruits') friends_favorite_foods.append('ice cream') Print print("My favorite foods are:") print(my_favorite_foods) print("\nMy friend's favorite foods are:") print(friends_favorite_foods) Results: Append new food items My favorite foods are: ['pizza', 'rice', 'cake', 'fruits', 'ice cream']… Continue reading 4 Python List – Appending to a list

Python

4 Python Lists – Copying Lists

Copying List COPYING LIST code print("Copying list from one to another") my_favorite_foods = ['pizza', 'rice', 'cake'] friends_favorite_foods = my_favorite_foods[:] print("My favorite foods are:") print(my_favorite_foods) print("\nMy friend's favorite foods are:") print(friends_favorite_foods) Results: Copying list from on to another My favorite foods are: ['pizza', 'rice', 'cake'] My friend's favorite foods are: ['pizza', 'rice', 'cake']

Python

4 Python List – Slicing the List

SLICING a LIST code players = ['Vijay', 'Mohan', 'Vasu', 'Sai', 'Chandika','Shreya'] print("Here are the three players from 2ND PLAYER ONWARDS on my team:") print(players[1:4]) players = ['Vijay', 'Mohan', 'Vasu', 'Sai', 'Chandika','Shreya'] print("Here are the FIRST THREE players on my team:") print(players[0:3]) players = ['Vijay', 'Mohan', 'Vasu', 'Sai', 'Chandika','Shreya'] print("Here are the FIRST FOUR players on… Continue reading 4 Python List – Slicing the List

Python

4 Python LIST – Looping through a slice

Python LIST Looping Through a SLICE print("Looping through SLICE code") players = ['Vijay', 'Mohan', 'Vasu', 'Sai', 'Chandika','Shreya'] print("Here are the first three players on my team:") for player in players[:3]: print(player.title()) Results Looping through SLICE code Here are the first three players on my team: Vijay Mohan Vasu

Big Data Series

Traditional DBMS vs Big data

Traditional processing VS Real time In traditional relational database management systems, data was often moved to computational space for processing. In Big Data space bringing the computation to where data is located. So, everything is real-time. A key feature of these types of real-time notifications is that they enable real-time actions. However, using such a capability would require you to… Continue reading Traditional DBMS vs Big data

Big Data Series

IOT: Internet of things

Big Data - IOT Big data generated by machines. It's everywhere and there's a lot. If you look at all sources of big data, machine data is the largest source of big data. This complex data sensing capability smart and called as smart data. A smart phone gives you a way to track many things,… Continue reading IOT: Internet of things

Big Data Series

Big data: source and value.

Big Data Technologies The main sources of Big Data are data generated by machines, people, and organisations.Machine generated data we refer to data generated from real time sensors in industrial machinery or vehicles that logs that track user behaviour online, environmental sensors or personal health trackers, and many other sense data resources.Human generated data, we… Continue reading Big data: source and value.

Relational Data Warehouse

6. Introduction to DWBI – Goals of Data Warehouse

Building a Data warehouse Purpose & Goals of Data Warehouse Purpose & Goals of Data Warehouse: Focus on fundamentals before delving into details of modeling and implementation. Listen to the Business and understand the goals and current pain points in reporting the business needs. The Data warehouse must make the organizational information readily available and… Continue reading 6. Introduction to DWBI – Goals of Data Warehouse

Relational Data Warehouse

5. Introduction to DW&BI – ETL Extract Transform and Load

ETL – Extract Transform & Load Extract Transform and Load: ETL means Extract, Transform, and Load. ETL is a process combined with technology. Using this process data is extracted from all sources, and depending on the user requirements the data is transformed for reporting needs, and finally, data loaded into the Data warehouse. ETL is… Continue reading 5. Introduction to DW&BI – ETL Extract Transform and Load

Relational Data Warehouse

4.Introduction to DW & BI – DWBI Cycle

DWBI Cycle Data Warehousing and Business Intelligence: A real Business Intelligence passes through a Data warehouse and utilizes the data-stored for information, knowledge, and plans that produce effective business actions. So, Business Intelligence is a combination of process, technology, and a tool. Means Business Intelligence encompasses Data warehouse, Tools, and Visual knowledge management. Among all,… Continue reading 4.Introduction to DW & BI – DWBI Cycle