AWS Glue Crawlers are used to connect to your source or target data store, explore a priority list of data to determine its structure, schema, and statistics, and then populate metadata information in the AWS Glue Data Catalog. A single Glue crawler can crawl multiple data stores of various types, ā¦AWS Glue Crawlers are used to connect to your source or target data store, explore a priority list of data to determine its structure, schema, and statistics, and then populate metadata information in the AWS Glue Data Catalog. A single Glue crawler can crawl multiple data stores of various types, making it an efficient way to discover and catalog your data. Crawlers can use classifiers to automatically recognize code, allowing them to process different types of data formats. They can be run on custom schedules or triggered by events, giving you flexibility when managing and updating metadata.
AWS Glue Crawlers Guide: Importance, Usage and Exam Tips
What is AWS Glue Crawlers?: AWS Glue Crawlers are part of AWS Glue, a service in Amazon Web Services that makes it simple and cost-effective to categorize data, clean it, enrich it, and move it reliably between various data stores. A crawler in AWS Glue scans through your data repositories, determining your data structure and schema, and auto-generate ETL code for data transformation.
Importance of AWS Glue Crawlers: They are significant as they automate the intricate process of data identification, data cataloging, code generation, and loading. This makes data more accessible and usable for analytics purposes and saves a significant amount of time and effort.
How AWS Glue Crawlers Works: A crawler accesses your source data store, goes through a specified path, and processes and extracts metadata such as field name, type, and other statistics, then populates the AWS Glue Data Catalog with this metadata. The extracted metadata is stored as table definitions in the data catalog.
Exam Tips - Answering Questions on AWS Glue Crawlers: 1. Always remember the primary function of a Glue Crawler - to classify data and populate metadata in the AWS Glue Data Catalog. 2. Understand that the crawler can read various types of data - from CSV, JSON, and Parquet files to JDBC databases. 3. Know the different settings for a crawler such as Crawler source type, Crawl all folders, and Add new columns only. 4. Be aware that you can schedule crawlers to run on demand or at specific times for continuous data updates. Remember, a strong understanding of how AWS Glue Crawlers fit into the broad AWS ecosystem will greatly aid your exam performance.
AWS Certified Solutions Architect - AWS Glue Crawlers Example Questions
Test your knowledge of AWS Glue Crawlers
Question 1
You are an AWS consultant hired by a company that is migrating their data to AWS. They have provided you with several data sources in different formats. Which AWS Glue options should you use to create a single Data Catalog?
Question 2
You've recently implemented a solution to update the schema of the Glue Data Catalog when new datasets are added. You found out that some schemas aren't updated correctly during the process. What approach should you use to ensure the schema is updated accurately?
Question 3
A company you're working for has multiple DynamoDB tables with sensitive data. They want these data objects to be excluded from AWS Glue Crawls. How would you implement this?
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