IBM

IBM Data Architecture Professional Certificate

IBM

IBM Data Architecture Professional Certificate

Launch your career as a data architect.

Learn in-demand skills like data engineering, database management, and data architecture in less than 5 months.

Muhammad Yahya
SkillUp
Romeo Kienzler

Instructors: Muhammad Yahya

Access provided by LUNA Innovations Germany GmbH

15,499 already enrolled

Earn a career credential that demonstrates your expertise

from 7,487 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise

from 7,487 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build the job-ready skills you need to succeed as a data architect, including database design, data engineering, and database management.

  • Learn how to use tools such as Airflow, Kafka, Spark, and Hadoop to build ETL workflows and process big data for analytics.

  • Manage relational and non-relational databases, data pipelines, and data warehouses.

  • Implement data privacy measures and governance and regulatory compliance protocols.

Details to know

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Taught in English

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Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM

Professional Certificate - 13 course series

Introduction to Data Engineering

Introduction to Data Engineering

Course 1, 14 hours

What you'll learn

  • List basic skills required for an entry-level data engineering role.

  • Discuss various stages and concepts in the data engineering lifecycle.

  • Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

  • Summarize concepts in data security, governance, and compliance.

Introduction to Relational Databases (RDBMS)

Introduction to Relational Databases (RDBMS)

Course 2, 16 hours

What you'll learn

  • Describe data, databases, relational databases, and cloud databases.

  • Describe information and data models, relational databases, and relational model concepts (including schemas and tables). 

  • Explain an Entity Relationship Diagram and design a relational database for a specific use case.

  • Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2

SQL: A Practical Introduction for Querying Databases

SQL: A Practical Introduction for Querying Databases

Course 3, 21 hours

What you'll learn

  • Analyze data within a database using SQL.

  • Create a relational database on Cloud and work with tables.

  • Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.

  • Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.

What you'll learn

  • Describe the Linux architecture and common Linux distributions and update and install software on a Linux system.

  • Perform common informational, file, content, navigational, compression, and networking commands in Bash shell.

  • Develop shell scripts using Linux commands, environment variables, pipes, and filters.

  • Schedule cron jobs in Linux with crontab and explain the cron syntax. 

Relational Database Administration (DBA)

Relational Database Administration (DBA)

Course 5, 21 hours

What you'll learn

  • Create, query, and configure databases and access and build system objects such as tables.

  • Perform basic database management including backing up and restoring databases as well as managing user roles and permissions. 

  • Monitor and optimize important aspects of database performance. 

  • Troubleshoot database issues such as connectivity, login, and configuration and automate functions such as reports, notifications, and alerts. 

Data Warehouse Fundamentals

Data Warehouse Fundamentals

Course 6, 16 hours

What you'll learn

  • Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

  • Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

  • How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Introduction to NoSQL Databases

Introduction to NoSQL Databases

Course 7, 18 hours

What you'll learn

  • Differentiate among the four main categories of NoSQL repositories.

  • Describe the characteristics, features, benefits, limitations, and applications of the more popular Big Data processing tools.

  • Perform common tasks using MongoDB tasks including create, read, update, and delete (CRUD) operations.

  • Execute keyspace, table, and CRUD operations in Cassandra.

ETL and Data Pipelines with Shell, Airflow and Kafka

ETL and Data Pipelines with Shell, Airflow and Kafka

Course 8, 18 hours

What you'll learn

  • Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.

  • Explain batch vs concurrent modes of execution.

  • Implement ETL workflow through bash and Python functions.

  • Describe data pipeline components, processes, tools, and technologies.

Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop

Course 9, 20 hours

What you'll learn

  • Explain the impact of big data, including use cases, tools, and processing methods.

  • Describe Apache Hadoop architecture, ecosystem, practices, and user-related applications, including Hive, HDFS, HBase, Spark, and MapReduce.

  • Apply Spark programming basics, including parallel programming basics for DataFrames, data sets, and Spark SQL.

  • Use Spark’s RDDs and data sets, optimize Spark SQL using Catalyst and Tungsten, and use Spark’s development and runtime environment options.

Data Integration, Data Storage, & Data Migration

Data Integration, Data Storage, & Data Migration

Course 10, 8 hours

What you'll learn

  • Build valuable applied data storage, integration, and migration skills employers need. 

  • Gain hands-on experience using industry-specific data tools.

  • Demonstrate you understand data-related best practices and can apply methodologies through industry-standard processes. 

  • Showcase your ability to solve problems related to data processes that you can talk about in interviews.

Data Privacy, Security, Governance, Risk and Compliance

Data Privacy, Security, Governance, Risk and Compliance

Course 11, 9 hours

What you'll learn

  • Develop and implement effective data privacy and security strategies.

  • Understand and apply security measures to protect and govern organizational data.

  • Conduct risk assessments and implement appropriate risk management practices.

  • Navigate and comply with relevant legal and regulatory compliance requirements.

Enterprise Data Architecture and Operations

Enterprise Data Architecture and Operations

Course 12, 11 hours

What you'll learn

  • Importance, benefits, and core components of Enterprise Data Architecture (EDA) and popular data architecture frameworks.

  • How to design and implement Enterprise Data Architectures for specific use cases.

  • How to develop and implement policies and procedures, such as data retention policies and operational standards.

  • How to plan and execute data system migrations and modernizations.

Data Architect Capstone Project

Data Architect Capstone Project

Course 13, 10 hours

What you'll learn

  • Gain hands-on experience working with data architecture that you can showcase in your portfolio and talk about in interviews.

  • Analyze and assess existing data architecture in alignment with business objectives.

  • Implement data migration and integration solutions, including building data pipelines.

  • Apply data governance and security protocols, ensuring compliance and data protection.

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Muhammad Yahya
IBM
5 Courses104,764 learners
SkillUp
SkillUp
145 Courses473,665 learners
Romeo Kienzler
IBM
10 Courses831,491 learners

Offered by

IBM
SkillUp

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