🔥 Data Engineer Roadmap 2023 | How to Become Data Engineer in 2023? | Simplilearn

🔥 Post Graduate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=9June2023DataEngineerRoadmap2023&utm_medium=Descriptionff&utm_source=youtube

This "Data engineer roadmap" Video By Simplilearn is a guide that outlines the essential skills and knowledge needed to become a successful data engineer. This tutorial covers a range of topics, starting with core concepts such as databases, SQL, and data modeling. From there, it progresses to data integration and ETL processes, including batch processing and real-time data pipelines. The roadmap also includes learning about distributed systems and technologies like Apache Hadoop and Apache Spark, as well as cloud platforms like AWS, Azure, and GCP. Overall, the data engineer roadmap provides a comprehensive path for acquiring the necessary expertise in data engineering. By following this roadmap, aspiring or experienced data engineers can develop the skills needed to design, construct, and maintain data infrastructure and systems, and contribute to building robust and scalable data solutions.

Below are Following Topics Covered in this Video:

00:00 Introduction to Data Engineer Roadmap
02:15 What is Data Engineering?
02:34 Why Pursue A Career in Data Engineering?
04:09 What does a Data Engineer do?
06:04 Data Engineer Skillset
08:13 Salary and Job Prospects
09:15 Comprehensive Roadmap to become a Data Engineer

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✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

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