The DES-7DE1 exam is intended to test your proficiency in managing and processing large amounts of data, as well as your ability to analyze and interpret this data using statistical and machine learning algorithms. To pass the exam, you will need to be well-versed in data engineering tools and technologies, such as Hadoop, Spark, Pig, and Hive, as well as machine learning frameworks like TensorFlow or Scikit-learn. Additionally, you will need to have a solid understanding of data visualization tools, such as Tableau, and the ability to effectively communicate your findings to non-technical stakeholders.
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The DES-7DE1 exam is a comprehensive evaluation of a candidate's ability to work with data in various forms, including structured, semi-structured, and unstructured data, as well as their proficiency in using tools such as Hadoop, Spark, and NoSQL databases. DES-7DE1 exam also tests the candidates' knowledge of statistical analysis, machine learning, and data visualization.
Reference: https://education.dellemc.com/content/dam/dell-emc/documents/en-us/DS_DataEng_SpecExamDesc_APR1020_Current.pdf
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EMC DES-7DE1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| The Role of the Data Engineer | 5% | - Skills and responsibilities of a data engineer
|
| Extract-Transform-Load (ETL) Offload with Hadoop and Spark | 18% | - Hadoop ecosystem and Apache Spark architecture
- ETL, ELT processes and schedulers
|
| Building Data Pipelines with Python | 20% | - Python programming for data pipeline development
|
| Data Governance, Security and Privacy for Big Data | 20% | - Data governance roles and models
- Metadata, Master Data Management and privacy considerations
|
| Data Warehousing with SQL and NoSQL | 17% | - Relational database characteristics and performance
- NoSQL tools use cases and features
|
| Processing Streaming and IoT Data | 20% | - Streaming architectures (e.g., Apache Kafka, Apache Flink)
- IoT data use cases and streaming tools
|