[Video Course] IBM Data Engineering Professional Certificate by IBM, Coursera

Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with hands-on job-ready skills.

Get started in the in-demand field of data engineering with a Professional Certificate from IBM. Learn the skills you need to design, deploy, and manage structured and unstructured data and gain experience with key tools through hands-on projects.

About this Professional Certificate

This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data.

By the end of this Professional Certificate, you will be able to explain and perform the key tasks required in a data engineering role. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data. You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will gain experience with creating Data Warehouses and utilize Business Intelligence tools to analyze and extract insights.

This program does not require any prior data engineering, or programming experience.

This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

What you will learn

Create, design, and manage relational databases and apply database administration (DBA) concepts to RDBMSes such as MySQL, PostgreSQL, and IBM Db2.

Develop and execute SQL queries using SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, Nested Queries, and JOINs.

Demonstrate working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, Spark Streaming.

Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

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Product Details: https://tinyurl.com/3yd9wny5

File size: 3.4GB

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