Embark on a career as a data warehouse engineer through IBM's Data Warehouse Engineer program. This comprehensive course equips you with in-demand skills essential for entry-level roles and provides hands-on experience in data warehousing. Learn to design and build large databases, utilize SQL for data analysis, master Linux commands and shell scripting, and gain proficiency in database administration and ETL processes. Additionally, delve into the intricacies of data warehousing and BI analytics, culminating in a capstone project to showcase your expertise.
Throughout the program, you'll engage with real-world projects and receive a Professional Certificate from IBM, bolstering your portfolio. With access to career resources, including mock interviews and resume support, you'll be well-prepared for your job search. Elevate your career prospects and embark on a rewarding journey in the field of data warehousing with IBM's Data Warehouse Engineer program.
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Master the essential skills for data warehouse engineering through 8 comprehensive modules, covering data engineering, relational databases, SQL querying, Linux commands and scripting, database administration, ETL processes, data warehousing, BI analytics, and a capstone project.
Gain foundational knowledge essential for an entry-level data engineering role. Understand the data engineering lifecycle, data technologies, and concepts in data security, governance, and compliance.
Delve into the world of relational databases, cloud databases, and information and data models. Master popular DBMSes including MySQL, PostgreSQL, and IBM DB2, and design relational databases for specific use cases.
Develop practical skills in SQL for querying databases, working with tables, and writing powerful queries using advanced techniques like views, transactions, stored procedures, and joins.
Acquire hands-on experience with Linux architecture, common distributions, and shell scripting. Learn to develop shell scripts, perform commands, and schedule cron jobs.
Master database administration, from creating and configuring databases to managing user roles and permissions, monitoring performance, troubleshooting issues, and automating functions.
Explore ETL processes, data pipeline components, and technologies such as shell scripting, Airflow, and Kafka. Understand batch vs concurrent execution and implement ETL pipelines.
Discover the architecture, features, and benefits of data warehousing and BI analytics. Design and populate data warehouses, work with data analytics and visualization tools, and create analytics dashboards.
Demonstrate proficiency in data warehouse engineering by implementing concepts and components in the data warehouse lifecycle, leveraging skills in Linux shell scripting, SQL, and business intelligence Cognos dashboard design.
CRUD Operations using MongoDB NoSQL is a hands-on course that teaches you how to create, query, update, and delete data in a MongoDB database collection.
Introducción a Git y GitLab is a 1-hour guided project focusing on essential Git commands, workflow creation, and basic continuous integration processes.
Write SQL queries using LibreOffice Base to retrieve data from a database table, gaining control and proficiency in data retrieval.
نمذجة البيانات المتقدمة تعرّف على تطبيق نمذجة البيانات وإدارتها في مشروع واقعي، واكتسب...