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In this video on How You Should Start Learning Data Engineering In 2024, we will cover the steps to become a data engineer. You can start with fundamental concepts like data pipelines and ETL processes. Master Python and SQL for data manipulation and querying databases. Explore big data frameworks such as Apache Hadoop and Apache Spark for processing large datasets efficiently. Study both relational and non-relational databases like MySQL and MongoDB. Delve into data warehousing with tools like Amazon Redshift and Google BigQuery, focusing on schema design and data modeling. Gain practical experience with ETL tools like Apache Airflow or Talend for orchestrating data workflows. Practice hands-on projects to reinforce your learning and build a solid foundation in data engineering.
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➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ 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
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