Scenario: A data analyst is tasked with extracting insights from a large dataset stored in the Data Lake. What tools and techniques can the analyst use to efficiently explore the data?
- Data Lake Query Languages, Distributed Computing Frameworks, Big Data Processing Tools, Cloud Storage Solutions
- Data Warehousing Tools, Query Languages, Data Replication Techniques, Data Integration Tools
- Data Wrangling Tools, Data Visualization Tools, Statistical Analysis Techniques, Machine Learning Algorithms
- Relational Database Management Systems, SQL Queries, Data Mining Algorithms, Business Intelligence Tools
To efficiently explore data in a Data Lake, a data analyst can utilize tools and techniques such as data wrangling tools for data preparation, data visualization tools for visual analysis, statistical analysis techniques for uncovering patterns, and machine learning algorithms for predictive modeling.
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