- Welcome to the Specialization
- Welcome to the Course and Week 1
- What Is Data?
- Why Organize Data?
- What Does a DBMS Do?
- Relational Databases and SQL
- The Success of RDBMSs and SQL
- Operational and Analytic Databases
- Comparing Operational and Analytic DBs: SELECT Statements
- Comparing Operational and Analytic DBs: DML Activity
- Operational and Analytic Databases: Further Comparisons
Foundations for Big Data Analysis with SQL
Learn to analyse and overview big data using the application SQL with Foundations for Big Data Analysis with SQL by ...Read more
Beginner
Online
5 Weeks
Quick Facts
particular | details | |||
---|---|---|---|---|
Medium of instructions
English
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Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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Course overview
This Foundations for Big Data Analysis with SQL certification course offers the students an overview of how to use SQL for big data, beginning with an overview of data, databases, and the standard querying vocabulary (SQL) then during the Foundations for Big Data Analysis with SQL training, candidates discover the features of large data systems and SQL methods. The candidates will also add a training system (virtual machine) during their learning process.
The students will have the ability to explore the databases and tables in this environment for the first time. The candidates can have access to the certificate and can attain Foundations for Big Data Analysis with SQL certification by the end of the programme. The candidates must download and configure a virtual computer and tools to use it correctly to use the practical framework for this training. This course holds a specialisation in modern big data analytics along with SQL specialisation, candidates can master the field with effective learning of this particular programme.
The highlights
- Complete online course
- Specialisation in modern Big data analytics with SQL
- Accompanied by flexible deadlines
- Beginner’s level programme
- Requires 11 hours to complete the course
Program offerings
- Certificate
- Video
- Lectures
- Readings
- Quizzes.
Course and certificate fees
The fees for the course Foundations for Big Data Analysis with SQL is -
Head | Amount in INR |
1 month | Rs. 4,115 |
3 month | Rs. 8,230 |
6 month | Rs. 12,345 |
certificate availability
Yes
certificate providing authority
Coursera
Eligibility criteria
Work experience
This is a beginner’s level programme, no pre-work experience is asked for the course.
Certification qualifying details
To complete the course and attain Foundations for Big Data Analysis with SQL certification by the end of the programme, the candidate needs to participate and complete the regular weekly quizzes that are available on the platform.
What you will learn
By the end of the Foundations for Big Data Analysis with SQL programme, candidates will learn the following skills and concepts -
- Candidates can differentiate between organisational and analytical databases.
- Candidates would be capable of understanding how Large Data is used by these data analysis activities.
- Candidates must understand the mechanisms of database and table architecture to deal with results.
- Applicants should recognize how variation in volume and data diversity influence the selection of a relevant database system.
- SQL dialects intended to work with big data collection and processing programmes would be recognised by the applicants.
- In a big data platform, they will be testing databases and tables.
- Hands-on-environment training will be provided to the students initially.
- The applicant learns various dynamics that are part of the preparation phase during the entire Foundations for Big Data Analysis with SQL certification syllabus.
The syllabus
Module 1: Data and Databases
Videos
Readings
- Hardware Requirements for the Exercise Environment
- Data Extraction from Digital Images
- Three Notes about SQL
- References
Assignment
- Data and Databases
Discussion Prompt
- Analog or Digital Data
Module 2: Relational Databases and SQL
Videos
- Welcome to Week 2
- Introducing Table Schemas
- NULL Values
- Data Types
- Primary Keys
- Foreign Keys
- Two Strategies for Database Design
- Database Normalization
- Denormalization
- Differences
- Trade-offs
- Database Transactions
- ACID
- Enforcing Business Rules: Constraints and Triggers
- Business Rules and ACID for Analytics?
Readings
- Let There Be Third Normal Form
- SELECT Statements in Transactions
- Database Indexes
Assignment
- Relational Databases
Discussion Prompt
- Relational Databases
Module 3: Big Data
Videos
- Welcome to Week 3 and the Three Vs of Big Data
- How Big Is Big Data?
- Distributed Storage
- Distributed Processing
- Structured Data
- Unstructured Data
- Semi-Structured Data
- Strengths of Traditional RDBMSs
- Limitations of Traditional RDBMSs
- SQL and Structured Data
- SQL and Semi-structured Data
- SQL and Unstructured Data
Reading
- What about Velocity?
Assignment
- Big Data
Discussion Prompt
- Big Data
Module 4: SQL Tools for Big Data Analysis
Videos
- Welcome to Week 4
- Big Data Analytic Databases (Data Warehouses)
- NoSQL: Operational, Unstructured and Semi-structured
- Non-transactional, Structured Systems
- Big Data ACID-Compliant RDBMSs
- Search Engines
- Challenges
- What We Keep
- What We Give Up
- What We Add
- Where to Store Big Data
- Coupling of Data and Metadata
Reading
- Open Source and Apache
Assignment
- SQL Tools for Big Data Analysis
Discussion Prompt
- Questions?
Module 5: Introduction to the Hands-On Environment
Videos
- Welcome to Week 5
- Apache Hive
- Apache Impala
- Exploring Structured Data in Hue
- Welcome to the Honors Track
- Honors Track Conclusion
Readings
- Instructions for Downloading and Installing the Exercise Environment
- Troubleshooting the VM
- Preparation for the Quiz
Assignment
- Cloudera Certified Associate Data Analyst Certification
Peer Review
- Database Overview
Discussion Prompt
- Get Excited!
Admission details
To attain admission in Foundations for Big Data Analysis with SQL online course, follow the procedure -
Step 1: Verify and look for the complete course information on the official website.
Step 2: Tap on the button “Enroll for free”.
Step 3: Register with an authentic Google or Facebook account or sign in with the candidate’s details.
Step 4: Confirm and look for the information that will pop up on the page afterwards and then choose “Start a free trial”.
Step 5: Pay the fee for the course for complete successful registration.
Step 6: Enrollment is successfully done in Foundations for Big Data Analysis with SQL programme.
Scholarship Details
Candidates who cannot afford to learn the course can opt for financial assistance for the Foundations for Big Data Analysis with SQL training by applying through the website, candidates need to provide complete specific details about the background. Afterward, protocols for authentication and verification take at least 15 days.
Evaluation process
Candidates can attain Foundations for Big Data Analysis with SQL certification at the end of the course based on their performance in regular weekly quizzes only.
How it helps
The Foundations for Big Data Analysis with SQL certification benefits served by this course are beneficial in terms of academics and career even in the experience for the candidates who want to pursue this respective field in the future. Students will be able to explore the database tables for the first time in this specified area. The applicants can access this credential after the programme and can achieve the qualification.
To use the realistic platform for this instruction, the candidates must download and install a virtual machine and the software to use it correctly and efferently. With this course, the candidates will master the field with successful learning from the specific curriculum, specialise in contemporary big data analytics along with SQL specialisation.
During the entire curriculum of the course, every particular student will be given individual attention and efficient reading materials along with the effective training that will make them more efficient in this respective field, that’s the main Foundations for Big Data Analysis with SQL certification benefits that course serve to students specifically. With the completion of the regular weekly quizzes, their performance will be individually and regularly monitored that will ensure their performance and give them a better environment for learning.
Instructors
FAQs
In what respective field, does this course hold specialisation?
This particular Foundations for Big Data Analysis with SQL online course holds specialisation in modern big data analysis with SQL specialisation field.
What is the duration to complete the course and attain certification?
There is no fixed duration for the course, candidates can complete the course according to their preferences since the deadlines are flexible.
On what criteria, will the performance of the candidates be monitored?
The candidate’s performance for the certificate will be monitored based on the marks they will attain in weekly quizzes.
As per the info, how many hours of self-learning does the course require to complete it with Foundations for Big Data Analysis with SQL certification?
Approximately 11 hours of self-learning are required to complete the course efficiently with the certification.
Can the enrollment be cancelled, if the candidate doesn’t want to pursue the course after the free trial?
Yes, the enrollment in the course can be canceled after the free trial ends, there will be no penalty in addition to this.
In what medium, will the course offerings be available?
The Foundations for Big Data Analysis with SQL programme offerings will completely be given in English medium only.
Will the reading material be provided along with the Foundations for Big Data Analysis with SQL certification syllabus?
Yes, the reading materials for the course will be provided with the syllabus only, and candidates can have access to them as the free trial begins.
In what divisions the syllabus of the course is divided?
The syllabus for this particular course is divided into a weekly basis, as of the total there are five-week syllabus is mentioned for the course.
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