Team Apr 04, 2023 No Comments
A data engineer’s role involves designing, developing, and maintaining the systems and infrastructure necessary for processing, storing, and analyzing massive datasets. They oversee the creation and management of data pipelines, maintaining databases, ensuring the quality of data, and integrating diverse data sources. Data engineers are the backbone of data-driven organizations working on efficiently and effectively using data in decision-making processes.
With the ever-increasing amount of data being generated and collected by businesses, we are witnessing a growing demand for skilled data engineers. To tap into this industry and make a rewarding career in data engineering, here are some top courses that can kickstart your career as a data engineer.
Ivy equips students with all the skills to launch a successful data engineering career. Ivy Professional School’s Cloud Data Engineering certification course provides hands-on experience with real-life projects and case studies in Big Data Analytics and Data Engineering. The students are assisted by teaching assistants to clear their questions and doubts. Students have the option to attend live face-to-face or online classes. Ivy also provides lifetime placement support to its students. Ideally, the course takes 6 months to complete.
The course covers important topics such as:
The course will allow students to join the fast-growing and rewarding data industry. A student can learn from anywhere, as the option of joining live classes online is also available. The course also focuses on holistic development, providing students with essential job-oriented skills such as CV building, LinkedIn profile building, networking skills, and interview skills, among others.
This course provides information on various aspects of data engineering, including the principles, methodologies, techniques, and technologies involved. Students will learn how to design and build databases, manage their security, and work with various databases such as MySQL, PostgreSQL, and IBM Db2. Students will be exposed to NoSQL and big data concepts including practice with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming.
In this course, students will get all the necessary skills to build their data engineering career. Students will acquire knowledge related to various concepts such as creating data models, constructing data warehouses and data lakes, streamlining data pipelines through automation, and handling extensive datasets.
They will learn how to design user-friendly relational and NoSQL data models that can handle large volumes of data. Students will also acquire the skills to construct efficient and scalable data warehouses that can store and process data effectively. They will be taught to work with massive datasets and interact with cloud-based data lakes. Students will learn how to automate and monitor data pipelines, which involves using tools such as Spark, Airflow, and AWS.
Coursera offers a variety of courses in data engineering. The courses discuss all the skills needed to excel in a data engineer role. They discuss the various stages and concepts in the data engineering lifecycle. The courses teach various engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.
Just like Coursera, Udemy offers a plethora of courses in data engineering. Some popular ones include Data Engineering using AWS Data Analytics, Data Engineering using Databricks on AWS and Azure, Data Warehouse Fundamentals for Beginners, Taming Big Data with Apache Spark and Python – Hands On, among others.
Online data engineering courses provide an excellent opportunity to acquire new skills and knowledge Whether you are a beginner or an experienced professional, these courses can help you gain a deeper understanding of data engineering concepts, stay up-to-date with the latest trends and technologies, and accelerate your career.
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