The AWS Glue Data Catalog is a fully managed, Hive-compatible, and Apache Spark compatible metadata repository that enables users to store, discover, query, and manage their data. It integrates with data stores like Amazon S3, Amazon Redshift, and Amazon RDS. The Data Catalog stores metadata about …The AWS Glue Data Catalog is a fully managed, Hive-compatible, and Apache Spark compatible metadata repository that enables users to store, discover, query, and manage their data. It integrates with data stores like Amazon S3, Amazon Redshift, and Amazon RDS. The Data Catalog stores metadata about the datasets and allows you to utilize this metadata in ETL jobs or data analytics. The searchable, centralized repository allows for faster data discovery and collaboration between data scientists and engineers while maintaining a reliable and consistent view of your data.
Guide to AWS Glue Data Catalog
AWS Glue Data Catalog serves as a centralized metadata repository for your data stores in AWS. It stores metadata related to data sources, transformations, and targets.
Why is it important: The AWS Glue Data Catalog is an essential part of the AWS ecosystem because it simplifies the process of data discovery and data schema management. By centralizing metadata across a wide variety of data sources, it can drive the efficiency of big data, analytics, and machine learning tasks.
What it is: The Glue Data Catalog is a persistent metadata store in AWS Glue that provides a unified view of your data lake. It stores structural information about your data such as table definition, schema, and partition metadata, and can be used as a metastore for services like AWS Athena, EMR, and Redshift Spectrum.
How it works: Data Catalog associates metadata with unique identifiers(catalog ID, database name, and table name). It makes use of crawlers to extract metadata from various sources and store it in an Apache Hive Metastore compatible format. This data can then be discovered and queried directly.
Exam Tips: Answering Questions on AWS Glue Data Catalog 1. Understand the role of AWS Glue Data Catalog: It acts as a centralized metadata repository. Be familiar with its functions in data discovery and metadata management. 2. Know the components: The main components include Tables, Databases, Crawlers, and Classifiers. 3. Understand Crawlers: Crawlers in AWS Glue Data Catalog retrieve metadata from data stores, identify data formats, and suggest schemas. A common question type might involve understanding what happens when a Crawler runs. 4. Be aware of compatibility: The Data Catalog is compatible with an Apache Hive Metastore. This interplay might come up in exam questions involving multiple AWS services.
AWS Certified Solutions Architect - AWS Glue Data Catalog Example Questions
Test your knowledge of AWS Glue Data Catalog
Question 1
You're helping a customer migrate their data warehouse to AWS. They want to perform ETL tasks using AWS Glue and store metadata in the Glue Data Catalog. Their existing setup uses Hive Metastore. What should you recommend?
Question 2
You are working with a pharmaceutical company that wants to securely store sensitive data used in AWS Glue Data Catalog. Which feature should you recommend using?
Question 3
A financial company wants to integrate its on-premises Microsoft SQL Server with AWS Glue Data Catalog and use metadata tables. What AWS service will help in achieving this?
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