Data Architect by Udacity: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Learning efforts 10 Hours Per Week

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.

Course and certificate fees

Fees information

₹ 20,500 (Inclusive of GST)

Data Architect Fee Details

Course	Fee
All Access monthly	Rs. 20,500 /month
All Access bundle	Rs. 17,425 /month

certificate availability

Yes

certificate providing authority

Udacity

Who it is for

Data analyst Database architect

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.

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

Knowledge of big data Machine learning Data science knowledge Database knowledge

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

The syllabus

Data Architecture Foundations

What is Data Architecture?

Define data architecture characteristics
Define data governance and its role
Define scalability and flexibility in database design

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

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--nd038

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.

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

What is the Admission criteria of Data Architect Training?

There are no admission criteria to get admission in Data Architect online Training.

What skills are required for a Data Architect course for beginners?

Candidates who have basic to intermediate knowledge of Python, SQL, and database management can join the beginners' Data Architect course.

What is the estimated duration of the Data Architect training course?

The Estimated duration of the Data Architect training course is 3 months at the rate 10 hours/week.

Can more than one course be taken at a time?

Yes! you can take more than one course at a time.

What are the career scopes after completing this Data Architect course?

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.