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IBM Data Engineering Professional Certificate (update 08/2023) - AD-TEAM - 12-08-2024 IBM Data Engineering Professional Certificate (update 08/2023) MP4 | Video: h264, yuv420p, 1280x720 | Audio: aac, 44100 Hz | Duration: 27h 01m | 3.02 GB Genre: eLearning | Language: English The IBM Data Engineering Professional certification is a set of specialized courses that will help you land a new job in data engineering. By completing this course, you will master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark skills and the skills you need for your job. What you will learn in the IBM Data Engineering Professional Certificate course series: RDBMS fundamentals, including database design and construction, schemas and tables, database management, security, and working with MySQL, PostgreSQL, and IBM Db2. SQL query language (SELECT, INSERT, UPDATE, DELETE statements), database functions, work with various tables, JOIN and transactions. NoSQL and big data concepts including working with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming Content COURSE 1. Introduction to Data Engineering COURSE 2 Python for Data Science, Artificial Intelligence and Development COURSE 3 Python Data Engineering Project COURSE 4. Introduction to relational databases (DBMS) COURSE 5 Databases and SQL for Data Science with Python COURSE 6. Introduction to NoSQL databases. COURSE 7. Introduction to Big Data with Spark and Hadoop. COURSE 8. Data engineering and machine learning using Spark. COURSE 9. Practical introduction to Linux commands and shell scripting. COURSE 10 Relational Database Administration (DBA) COURSE 11 ETL and data pipelines with Shell, Airflow and Kafka COURSE 12 Getting Started with Data Warehouse and BI Analytics COURSE 13 Data Engineering Core Project IBM Data Engineering Professional Certification Course Prerequisites: This professional certification is open to anyone in any job and academic background. This requires basic IT literacy and knowledge of the IT infrastructure, as well as knowledge of working with Windows, Linux or MacOS. No prior computer programming experience is required, but is an advantage, as is high school math. [To see links please register or login] |