- Define data architecture characteristics
- Define data governance and its role
- Define scalability and flexibility in database design
Expert
Online
4 Months
₹ 69,700 82,000
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Course overview
The Data Architect Course explores key principles of data architecture, defining fundamental characteristics of data, the role of data governance, and designing a blueprint of data management framework in an organization. The course encourages candidates to learn to build staging areas for data digestion and managing that staging area with metadata.
The Data Architect Certification course teaches about various factors which affect the performance of the database and different types of data injection techniques, The course knowledge of Data lake and data warehouse to store huge amounts of raw unstructured and structured data according to the need of the organization.
The Data Architect Syllabus introduces to the Big data science, its operation and its characteristics by explaining various types of data scaling and differentiating structured query language and nonstructured query language used for Big data and real-time web applications. The course develops an understanding of data governance and different types of disciplines in data governance to use, manage and secure data.
The highlights
- Industry-relevant real-world projects
- Project feedback from top-class reviewers
- Students forum for course-related queries
- Career support
- Online mode class
- 4 months course
Program offerings
- Online learning
- Student community
- 4 months course
- Quizzes
Course and certificate fees
Fees information
Modes | Fee |
Month-To-Month | ₹20,500/month |
4 Months Bundle Access | ₹82,000 |
certificate availability
certificate providing authority
Eligibility criteria
For getting Enrolled in the Data Architect online course, there are no eligibility criteria or specific background, but the candidate should be familiar with python, SQL, database management with basic knowledge of Data Pipeline.
Certification Qualifying details
Candidates must complete their Assessments and projects in a given period of time in order to get a Data Architect certification course completion certificate.
What you will learn
After the completion of this Data Architecture certification course, Candidates will be able to :
- Build conceptual and logical ERD
- Design Data Architecture
- Create Non-structured query language Database operation
- Manage data assets
Who it is for
Students and professionals with basic knowledge of python, SQL, data pipelines, and database skills who want to grow their career in Data Architecture can join this course.
Admission details
Step 1. For more information about the Data Architect course details, go to the course page By following the link below: https://www.udacity.com/course/data-architect-nanodegree--nd03.
Step 2. Click on the ‘Enroll Now’ button of the monthly or bundle plan.
Step 3. If you have any discount coupons, Apply the coupon on the checkout page.
Step 4. Click on the ‘Continue with checkout’ button.
Step 5. Enter the Payment Method with billing Address.
Step 6. Click on the complete order button.
Step 7. Pay with Card/UPI/Net Banking/Wallet.
Filling the form
For Filling the Application form for Data Architect training online, Candidates should log in to their account with the received credentials on the registered email which was used during the payment of the course, candidate should upload their self-attested required documents.
The syllabus
Data Architecture Foundations
What is Data Architecture?
Database Framework
- Introduction to ERDs
- Develop a database schema
- Understand normalization and its use cases
- Learn to normalize data to the 3rd Normal Form
Relational Data Design
- Build a conceptual ERD
- Build a logical ERD
- Learn about cardinality and Crow’s Foot notation
- Build a physical ERD
Creating a Physical Database
- Learn about factors that affect database performance
- Learn about file and data storage solutions
- Use DDL SQL to create database objects in PostgreSQL
- Learn about data ingestions methods, including ETL, Pipelines, APIs and direct feeds
- Use DML SQL to populate a database with data in PostgreSQL
- Use CRUD SQL commands to demonstrate the proper operation of a database
Designing Data Systems
Enterprise Data Architecture
- Understand the importance of Data Architecture in any organization
- Learn the benefits of executing a Data Architecture
- Learn the business and technical artefacts required
- Understand business and functional requirements
- Learn how OLTP, ODS and OLAP models are being designed
Staging Data
- Build staging area for data ingestion
- Learn to organize data assets based on schemas
- Design schedules for data processing based on the requirements
- Learn to manage staging area through metadata
Operational Data Store
- Build an integrated ER model connecting distributed data assets
- Learn to design Data Dictionary and Master Data
- Apply normalization rules to eliminate redundancies
- Learn when to use ETL vs ELT techniques
- Learn to cleanse data anomalies
Data Warehouse
- Learn two OLAP modeling designs — Star and Snowflake schemas
- Learn various dimensional and fact table types
- Build ELT data processing from ODS to Data warehouse
- Write SQL queries for the purpose of reporting
Big Data Systems
Characteristics of Big Data
- Explain what is big data
- Articulate the business value of big data
- Describe the characteristics of big data
- Distinguish between horizontal scaling vs vertical scaling
- Describe the components of a big data ecosystem
Ingestion, Storage and Processing Frameworks
- Explain how distributed storage works in HDFS
- Explain how distributed processing works
- Explain how resources are managed in a Hadoop cluster
- Distinguish between different distributed processing frameworks
- Apply frameworks to appropriate use cases
NoSQL Databases
- Explain the difference between SQL and NoSQL Databases
- Differentiate between ACID and CAP properties of SQL and NoSQL databases
- Implement, create, read, write, update NoSQL DB operations with DynamoDB
- Create a simple NoSQL data model
Scalable Data Lake Architecture
- Explain what is a data lake and its business value
- Distinguish between different data formats and their application
- Articulate Data Lake design patterns and challenges
- Explain how to enable transactional capabilities in Data Lake
Data Governance
Introduction to Data Governance
- Understand what is Data Governance and its importance
- Learn about the different disciplines of Data Governance
- Understand the different stakeholders involved in Data Governance projects
Metadata Management
- Understand the different types of metadata
- Understand the components and capabilities of Metadata Management System
- Create conceptual and logical Enterprise Data Models
- Create an Enterprise Data Catalog
Data Quality Management
- Perform data profiling using various techniques using data quality dimensions
- Identify remediation options for data quality issues
- Measure data quality using data quality scores and thresholds
- Monitor data quality using dashboards, exception and trend reports
Master Data Management
- Understand the concepts of master data and golden record
- Understand different types of Master Data Management Architectures
- Create a golden record using various match and merge techniques
- Understand data governance processes for authoring, monitoring and approval of master data
Evaluation process
There is no written examination for the Data Architect Certification program, candidates must complete their in-course assessments and course projects to get Data Architect certification.
How it helps
- Candidates will be trained in Industry relevant real-world projects
- With the help of top-class mentor support, candidates can excel in the field
- Student can resolve all their problem in the student's community by resolving queries
- A self-paced learning experience will help the candidates to learn at their own pace and convenience
- Career support with LinkedIn profile optimization
- Verified digital certification
Instructors
Mr Ben Larson
Instructor
Freelancer
Ph.D
Mr Shankar Korrapolu
Instructor
Freelancer
Mr Shrinath V
Guest Faculty
Freelancer
Ms Vijaya Nelavelli
Instructor
Freelancer
Mr Rostislav Rabotnik
Instructor
Freelancer
Mr Nicholas DeGiacomo
Instructor
Freelancer
FAQs
There are no admission criteria to get admission in Data Architect online Training.
Candidates who have basic to intermediate knowledge of Python, SQL, and database management can join the beginners' Data Architect course.
The Estimated duration of the Data Architect training course is 4 months at the rate of 5-10 hours/week.
Yes! you can take more than one course at a time.
There are varieties of career scopes after the completion of a Data Architect Course such as Data Architect, Data Engineer, Data Analyst, and many more.
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