IBM

IBM Data Architecture (berufsbezogenes Zertifikat)

IBM

IBM Data Architecture (berufsbezogenes Zertifikat)

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

Dozenten: Muhammad Yahya

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Erwerben Sie eine Karrierereferenz, die Ihre Qualifikation belegt

aus 7,487 Bewertungen von Kursen in diesem Programm

Stufe Anfänger

Empfohlene Erfahrung

4 months to complete
unter 10 Stunden pro Woche
Flexibler Zeitplan
In Ihrem eigenen Lerntempo lernen
Erwerben Sie eine Karrierereferenz, die Ihre Qualifikation belegt

aus 7,487 Bewertungen von Kursen in diesem Programm

Stufe Anfänger

Empfohlene Erfahrung

4 months to complete
unter 10 Stunden pro Woche
Flexibler Zeitplan
In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

  • 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.

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Berufsbezogenes Zertifikat – 13 Kursreihen

Introduction to Data Engineering

Introduction to Data Engineering

KURS 1, 14 Stunden

Was Sie lernen werden

  • 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)

KURS 2, 16 Stunden

Was Sie lernen werden

  • 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

KURS 3, 21 Stunden

Was Sie lernen werden

  • 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.

Was Sie lernen werden

  • 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)

KURS 5, 21 Stunden

Was Sie lernen werden

  • 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

KURS 6, 16 Stunden

Was Sie lernen werden

  • 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

KURS 7, 18 Stunden

Was Sie lernen werden

  • 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

KURS 8, 18 Stunden

Was Sie lernen werden

  • 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

KURS 9, 20 Stunden

Was Sie lernen werden

  • 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

KURS 10, 8 Stunden

Was Sie lernen werden

  • 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

KURS 11, 9 Stunden

Was Sie lernen werden

  • 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

KURS 12, 11 Stunden

Was Sie lernen werden

  • 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

KURS 13, 10 Stunden

Was Sie lernen werden

  • 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.

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozenten

Muhammad Yahya
IBM
5 Kurse104.764 Lernende
SkillUp
SkillUp
145 Kurse473.665 Lernende
Romeo Kienzler
IBM
10 Kurse831.491 Lernende

von

IBM
SkillUp

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Häufig gestellte Fragen

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (5/1/2025 - 5/1/2026)