LPU Summer Training Project Viva PPT - Modern Big Data Analysis with SQL Specialization
- 1. MODERN BIG DATA ANALYSIS WITH SQL SPECIALIZATION L O V E L Y P R O F E S S I O N A L U N I V E R S I T Y C S E 4 4 3 - S E M I N A R O N S U M M E R T R A I N N G Q A Z I M A A Z A R S H A D B . T E C H C S E 1 1 9 0 6 4 2 4
- 2. TABLE OF CONTENTS 01 My Course I will discuss my summer training MOOC. The tasks, assignments, timeline, etc. I will talk about the experience and skills I have gained from the course and project. I will give an overview of my training and talk over future scope of BIG DATA. I will explain my project in detail. The aim, problems solved, approach, tech stack, etc. Project Conclusion Learning Outcomes 02 04 03
- 3. OVERVIEW OF COURSE Modern Big Data Analysis wth SQL Specialization “Modern Big Data Analysis with SQL Specialization” is an online specialization course offered by CLOUDERA consisting of 3 courses “Foundations for Big Data Analysis with SQL”, “Analyzing Big Data with SQL”, and “Managing Big Data in Clusters and Cloud Storage”. This specialization teaches the essential skills for working with large-scale data using SQL.
- 4. Foundations for Big Data Analysis with SQL Analyzing Big Data with SQL Managing Big Data in Clusters and Cloud Storage
- 5. TIMELINE 13 May 2021 Completed the Summer Training before the deadline - 10th August 2021 12 July 2021 Enrolled in MOOC Completed the Specialization Each course comprised of multiple quizzes and assignments. A minimum of 80% marks were required in most quizzes and assignments to pass the course.
- 6. It took approximately 1 week to complete the project. Will discuss project later 19 July 2021 Commenced Project 25 July 2021 Finished Project Work
- 7. THE
- 8. What is my project all about PROJECT OVERVIEW TECH STACK INVOLVED APPLICATION MOVIES DATA ANALYSIS Created a database using 4 different data sets and calculated significant results using SQL queries. Results calculated from the database is done using SQL query operations. I have used MySQL Workbench to design and manage the database. This project is useful in calculating results from past movies to analyze trends in the movie industries across the globe. Data analysis of a very large films database. Created this project using SQL and MySQL Workbench. This project can be used as a demo for managing other data sets.
- 9. WHY THIS PROJECT The main aim was to implement all the knowledge and skills gained in summer training on a real project. PRACTICAL IMPLEMENTATION LEARNING EXPLORE SOLVE ISSUE 1 2 3 4 I learned a lot from this project, and revised all the learnings from my summer training. I did this project to get practical exposure of managing a large data set. I got the opportunity to explore more about this domain, learn new things, and enhance existing skills. I learned how to manage large datasets. This project calculates important results from unstructured data.
- 10. WHICH PROBLEMS THIS PROJECT SOLVES The movie's database contains information regarding the name of the movies, the year when they were released, country of origin, duration of films, the language of films, the budget of films, etc. This project will also serve as a prototype to design, manage, and study any other datasets in future. ANALYZES UNSTRUCTURED DATA DEDUCE IMPORTANT FACTS INSIGHTS ABOUT PAST TRENDS IN FILMS INDUSTRY
- 11. ER DIAGRAM PROJECT DESIGN This ER Diagram is created using CREATELY. An Entity Relationship (ER) Diagram is a type of flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
- 12. These are a few screenshots of data sets, code and query results in MySQL Workbench and from GitHub repository. SCREEN SHOTS
- 13. SWOT ANALYSIS Strength S O W T Opportunity Weakness Threat Simple and easy in handling large data. Data analysis can be performed easily using basic commands. SWOT analysis of my project(In genral of SQL) will assess the four important aspects of the project(SQL). We can improve project by representing results in graphs by exporting results to other tools. SQL is good for fetching data but it cannot be used alone for visualizing data. Python and tools like tableau will be preferred over SQL when the requirement is to visualize the data into figures.
- 14. LEARNING OUTCOMES Skills and technologies learned from the summer training and experience gained from working on real projects. SQL Data Analysis MySQL Workbench DBMS
- 15. FUTURE OF SQL DATABASES T h e f u t u r e o f S Q L S e r v e r w i l l d e p e n d o n t h e f u t u r e o f t h e u s e o f S Q L a s a q u e r y l a n g u a g e . SQL, being the ANSI and ISO standard for relational databases, is adapting to the changing world of data transforming into big data. Data is increasing exponentially, and data is not going to reduce, so there will always be a need to manage data. SQL started as an IBM project in 1974 to implement a “relational model of data”. SQL in the Present SQL in the Future SQL In the Past
- 16. THANK YOU