Chapter 02: DATABASE MANAGEMENT FOR DATA SCIENCE, BIG DATA ANALYTICS

 01. How does database management works explain with examples?  

Ans:

Basically, Instagram recognizes accounts that are more or less similar to one another by adopting a machine learning technique termed “word embedding”. This technique deciphers the order in which words appear in the text in order to measure how connected they are. Instagram uses the same technique to decipher and comprehend how connected any two accounts are to each other.

02. What are the process of Data Analytics ? 

Ans:

01. Data

02.  Information

03. Insight 

04. Analysis

03.What are the tools and technologies of big data ? 

Ans:

01. Apache Hadoop

02. Apache Hive

03. Apache Mahout

04. Apache Pig

05. Apache Thrift

06. Apache zookeeper

07. Apache Kafka

08. Apache Spark

09. No SQL

03. What are the source of big data? 

Ans:

01. large data files

02. advanced analytics or analysis

03. data from social networks

04. unstructured data

05. geospatial/- location information

06. social medial/- monitoring/ mapping

07. telematics

04.  How Amazon uses Data Science?

Ans:

Uses recommendation-based system (RBS)

Through this technology, it gathers data from their customers (Can also be called Big Data). The more data they have the better it is for them because once they understand what the user wants, they then streamline the process and try to encourage the customers to purchase the products. RBS seeks and predicts the “rating” or “preference” a user would give to an item.

 

05. Define Database?

Ans:

A database is defined as a structured set of data held in a computer’s memory or on the cloud that is accessible in various ways.

 

Database Management Systems (DBMS) refer to the technology solution used to optimize and manage the storage and retrieval of data from databases.

06.  What are the types of Database?

Ans:

01. RELATIONAL/ SQL DATABASES:

     (i) Relational 

     (ii)Analytical (OLAP)

02. NOSQL DATABASE:

     (i) Key value

     (ii)Graph

     (iii)Column Family

     (iv)Document 

07. What are the Advantages of database?

Ans:

01. Manages large amount of data

02. Easy to research data

03. Data integrity

04. Accurate

05. Easy to update data

06. Security of data.

Frequently Asked Questions

What is data science?

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

 

What is the need for Data Science?

The reason why we need data science is the ability to process and interpret data. This enables companies to make informed decisions around growth, optimization, and performance. Demand for skilled data scientists is on the rise now and in the next decade.

What is Data Science useful for?

Data science is a process that empowers better business decision-making through interpreting, modeling, and deployment. This helps in visualizing data that is understandable for business stakeholders to build future roadmaps and trajectories. Implementing Data Science for businesses is now a mandate for any business looking to grow.

 

How Facebook Uses Data Analytics To Understand Your Posts?

With 1.2 billion people uploading 136,000 photos and updating their status 293,000 times per minute on Facebook, it contributes to unstructured data (information which isn’t easily quantified and put into rows and tables for computer analysis).

Textual analysis - A large proportion of the data shared on Facebook is still text. Facebook uses a tool it developed itself called DeepText to extract meaning from words we post by learning to analyze them contextually. Neural networks analyze the relationship between words to understand how their meaning changes depending on other words around them. It learns for itself based on how words are used. It can easily switch between working across different human languages and apply what it has learned from one to another.It can easily switch between working across different human languages and apply what it has learned from one to another.

 

How Facebook Uses Data Analytics To Understand Your Posts And Recognize Your Face?

Facial recognition - Facebook uses a DL application called DeepFace to teach it to recognize people in photos. It says that its most advanced image recognition tool is more successful than humans in recognizing whether two different images are of the same person or not – with DeepFace scoring a 97% success rate compared to humans with 96%.