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There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.
Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice needed to leverage AWS services effectively and achieve certification.
- Ingest, transform, and orchestrate data pipelines effectively
- Select the ideal data store, design efficient data models, and manage data lifecycles
- Analyze data rigorously and maintain high data quality standards
- Implement robust authentication, authorization, and data governance protocols
- Prepare thoroughly for the DEA-C01 exam with targeted strategies and practices
There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future.
Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice needed to leverage AWS services effectively and achieve certification.
- Ingest, transform, and orchestrate data pipelines effectively
- Select the ideal data store, design efficient data models, and manage data lifecycles
- Analyze data rigorously and maintain high data quality standards
- Implement robust authentication, authorization, and data governance protocols
- Prepare thoroughly for the DEA-C01 exam with targeted strategies and practices
He is passionate about technologies and is always curious to learn about the latest innovations happening in the technology domain. During his career he has gained expertise in multiple industry domains and technologies such as Big Data, Analytics, Machine Learning, Artificial Intelligence, Relational/NoSQL/Graph Databases, Web/Mobile Application development and cloud technologies such as Amazon Web Services & Google Cloud Platform.
| Erscheinungsjahr: | 2025 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781098170073 |
| ISBN-10: | 1098170075 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mishra, Sakti
Qu, Dylan Challa, Anusha |
| Hersteller: | O'Reilly Media |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 233 x 178 x 24 mm |
| Von/Mit: | Sakti Mishra (u. a.) |
| Erscheinungsdatum: | 30.09.2025 |
| Gewicht: | 0,753 kg |
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