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Professional Certificate in Data Lakes Strategy
-- ViewingNowData Lakes Strategy: Master the art of building and managing effective data lakes. This Professional Certificate in Data Lakes Strategy equips you with essential skills for designing, implementing, and governing data lakes.
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์ด ๊ณผ์ ์ ๋ํด
100% ์จ๋ผ์ธ
์ด๋์๋ ํ์ต
๊ณต์ ๊ฐ๋ฅํ ์ธ์ฆ์
LinkedIn ํ๋กํ์ ์ถ๊ฐ
์๋ฃ๊น์ง 2๊ฐ์
์ฃผ 2-3์๊ฐ
์ธ์ ๋ ์์
๋๊ธฐ ๊ธฐ๊ฐ ์์
๊ณผ์ ์ธ๋ถ์ฌํญ
- Data Lake Fundamentals and Architecture
- Data Lake Design and Implementation
- Data Ingestion and Processing for Data Lakes
- Data Governance and Security in Data Lakes
- Data Lake Optimization and Performance Tuning
- Big Data Technologies for Data Lakes (Hadoop, Spark)
- Data Lake Analytics and Business Intelligence
- Cloud-Based Data Lake Solutions (AWS, Azure, GCP)
- Data Lake Migration Strategies
- Data Lake Cost Optimization and Management
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Career Role Description Data Lake Architect (Data Lakes, Cloud Computing) Designs, builds, and maintains large-scale data lake solutions on cloud platforms like AWS, Azure, and GCP.
High demand for expertise in data governance and security.
Data Lake Engineer (Data Engineering, Big Data) Develops and implements data pipelines, ensuring efficient data ingestion, processing, and storage within the data lake.
Focus on ETL/ELT processes and optimization.
Data Scientist (Data Analysis, Machine Learning) Extracts insights from data lake stored data, using advanced analytical techniques and machine learning algorithms to solve complex business problems.
Strong data visualization skills are a must.
Data Analyst (Data Mining, Business Intelligence) Analyzes data from the data lake to identify trends and patterns, providing actionable insights to support business decisions.
SQL and data visualization tools are essential skills.
Cloud Data Engineer (Cloud Computing, Data Lakes, AWS/Azure/GCP) Manages and maintains cloud-based data lake infrastructure, ensuring scalability, reliability, and security.
Expertise in specific cloud platforms is highly valued.
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