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Coursera - IBM Data Warehouse Engineer Professional Certificate

Author: fullsoftcrack on 19-03-2023, 03:28, Views: 90

Coursera - IBM Data Warehouse Engineer Professional Certificate
Free Download Coursera - IBM Data Warehouse Engineer Professional Certificate
Last updated 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 189 Lessons (17h 2m) | Size: 2.1 GB
Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.


Free Download Build job-ready skills by learning from the best
Get started in the in-demand field of data warehouse engineering with a Professional Certificate from IBM. Learn to create data pipelines, query data using SQL, and work with a range of BI tools and databases to design, deploy, and manage Enterprise Data Warehouses (EDW).
Skills you will gain
Relational Database (RDBMS)
Business Intelligence (BI)
Enterprise Data Warehouse (EDW)
SQL
Extract Transform Load (ETL)
Data Science
Database (DBMS)
NoSQL
Database (DB) Design
Database Architecture
Postgresql
MySQL
About this Professional Certificate
This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW).
By the end of this Professional Certificate, you will be able to perform the key tasks required in a data warehouse engineering role. You will work with Relational Database Management Systems (RDBMS) and query data using SQL statements.
You will use Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines with tools like Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You will gain experience with managing databases and data warehouses.
Finally, you will design and populate data warehouse systems and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards.
This program is suitable for anyone with a passion for learning and is suitable for you whether you have a college degree or not and does not require any prior data engineering, or programming experience.
Applied Learning Project
Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.
You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.
You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.
You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.
Common job titles: Data Warehouse Engineer, Data Warehouse Specialist, Date Warehouse Developer, Business Intelligence (BI) Engineer
What you will learn
Compose and execute various types of SQL statements and queries to access and manipulate data in databases
Deploy, Manage, Secure, Operationalize, Monitor and Optimize relational database systems like MySQL, PostgreSQL, and DB2
Create Data Pipelines to extract, transform and load data repositories using shell scripts, and tools such as Apache Airflow & Kafka
Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics
Homepage
https://www.coursera.org/professional-certificates/data-warehouse-engineering


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