FlexiToner uses AWS to query 10 years' worth of historical data and get results in moments, with the flexibility to explore data for deeper insights.
Movable Ink provides real-time personalization of marketing emails based on a wide range of user, device, and contextual data, driving higher response rates and better customer experiences.Also FlexiToner hosts log files captured from web servers running out of different EC2 machines FlexiToner has lot of data assets available in structured, semi-structured and unstructured data forms containing emails, logs, structured data from databases in csv files with formats in CSV, LOG, JSON and binary formats like Parquet and ORC.FlexiToner is interested to build a data lake out of all the files stored on S3 and provide Data Lake as a service to users from different departments based on pay per queries run.
What could be an effective solution to manage the environments?Select 3 options.
Click on the arrows to vote for the correct answer
A. B. C. D. E. F.Answer: A, C, E.
Option A is correct -Athena is serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run.
Athena scales automatically-executing queries in parallel-so results are fast, even with large datasets and complex queries.
Athena helps you analyze unstructured, semi-structured, and structured data stored in Amazon S3
Examples include CSV, JSON, or columnar data formats such as Apache Parquet and Apache ORC.
You can use Athena to run ad-hoc queries using ANSI SQL, without the need to aggregate or load the data into Athena.
https://docs.aws.amazon.com/athena/latest/ug/what-is.htmlOption B is incorrect - Athena is serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run.
Athena scales automatically-executing queries in parallel-so results are fast, even with large datasets and complex queries.
Athena helps you analyze unstructured, semi-structured, and structured data stored in Amazon S3
Examples include CSV, JSON, or columnar data formats such as Apache Parquet and Apache ORC.
You can use Athena to run ad-hoc queries using ANSI SQL, without the need to aggregate or load the data into Athena.
https://docs.aws.amazon.com/athena/latest/ug/what-is.htmlOption C is correct - Athena integrates with Amazon QuickSight for easy data visualization.
You can use Athena to generate reports or to explore data with business intelligence tools or SQL clients connected with a JDBC or an ODBC driver.
Option D is incorrect - Athena integrates with Amazon QuickSight for easy data visualization.You can use Athena to generate reports or to explore data with businessintelligence tools or SQL clients connected with a JDBC or an ODBC driver.
https://docs.aws.amazon.com/athena/latest/ug/when-should-i-use-ate.htmlOption E is correct - Athena integrates with the AWS Glue Data Catalog, which offers a persistent metadata store for your data in Amazon S3
This allows you to create tables and query data in Athena based on a central metadata store available throughout your AWS account and integrated with the ETL and data discovery features of AWS Glue.
https://docs.aws.amazon.com/athena/latest/ug/when-should-i-use-ate.htmlOption F is incorrect - Athena does not integrate with Amazon RDS, Instead Athena integrates with the AWS Glue Data Catalog, which offers a persistent metadata store for your data in Amazon S3
This allows you to create tables and query data in Athena based on a central metadata store available throughout your AWS account and integrated with the ETL and data discovery features of AWS.
Glue.
https://docs.aws.amazon.com/athena/latest/ug/when-should-i-use-ate.htmlFlexiToner is interested in building a data lake out of all the files stored on S3 and providing Data Lake as a service to users from different departments based on pay-per-queries run. To achieve this, they need an effective solution to manage the environments. Here are the three effective solutions to manage the environments:
A. Athena being serverless, allows running ad-hoc queries on S3 using ANSI SQL interactively, without the need to aggregate or load the data. Athena is a serverless query service that allows querying data in S3 using SQL without the need to manage any infrastructure. It is a cost-effective solution as it charges for the amount of data scanned per query. Athena allows running ad-hoc queries on S3 data interactively, without the need to aggregate or load the data. Athena supports various data formats such as CSV, JSON, Parquet, and ORC, which are available in FlexiToner's data lake. Athena also supports complex data types such as arrays and maps, making it suitable for handling semi-structured and unstructured data.
B. Athena running on scalable EC2 machines allows running ad-hoc queries on S3 using ANSI SQL interactively, without the need to aggregate or load the data. In addition to being serverless, Athena also supports running on scalable EC2 machines. This is suitable for FlexiToner's use case as they have a large volume of data and may require running more complex queries that could benefit from the additional resources available on EC2. Running Athena on EC2 provides more control over the environment, such as customizing the memory and CPU allocation for queries.
C. Athena integrates with Amazon QuickSight for easy data visualization. QuickSight is a cloud-based business intelligence tool that allows users to visualize data from various sources, including Athena. QuickSight provides an easy-to-use drag-and-drop interface for creating visualizations such as charts, graphs, and dashboards. Integrating Athena with QuickSight provides users with a simple and interactive way to explore and visualize data in the data lake. QuickSight also offers various pricing options, including pay-per-session and pay-per-user.
D. Athena can act as a component of Amazon QuickSight for easy data visualization. QuickSight allows integrating Athena as a data source, allowing users to create visualizations using Athena data without leaving the QuickSight environment. Athena can act as a component of QuickSight, providing users with a powerful SQL-based data exploration tool.
E. Athena integrates with the AWS Glue Data Catalog, which offers a persistent metadata store for data in Amazon S3. AWS Glue is a fully managed ETL (Extract, Transform, Load) service that allows users to create and run ETL jobs. Glue offers a Data Catalog that provides a persistent metadata store for data in S3. Integrating Athena with Glue Data Catalog provides a centralized location to store metadata about data in the data lake, making it easier to discover, query, and analyze data.
F. Athena integrates with the AWS RDS, which offers a persistent metadata store for data in Amazon S3. AWS RDS (Relational Database Service) is a managed database service that supports various database engines such as MySQL, PostgreSQL, and SQL Server. Integrating Athena with RDS provides a persistent metadata store for data in S3 in a structured manner. RDS can act as a centralized location to store metadata about the data in the data lake, making it easier to manage and organize the data.