Amazon Athena seems to be saving the day in many businesses nowadays.
Data solutions can be difficult to find for businesses. Data is definitely abundant, especially through the mainstream implementation of cloud storage technology, but finding the right solutions for analyzing and processing data can be tough.
Some solutions are hard to use, while others simply aren’t very efficient. Data needs to be stored and managed, so only the best tools will do for today’s scaling business.
This is where Amazon Athena comes in. This query service makes it possible for businesses to run their own SQL queries as if they have their own local data centers. This serverless technology could be highly beneficial to organizations that don’t want to deal with infrastructure management and need something fast and user-friendly.
In this guide, we’ll break down the basics of Amazon Athena and its use cases for your own organization.
It is not as complex as it may seem. In fact, this service can be implemented in a majority of organizations for a variety of use cases.
Amazon Athena is an interactive query service from Amazon. It’s based on Apache Presto, an open-source distributed SQL query engine. This service makes it possible to analyze data directly stored within Amazon S3 through the use of ANSI SQL.
It is also serverless, meaning that it lacks an infrastructure that requires ongoing maintenance and management. As a result, users only need to pay for the queries they run.
There are many use cases for Amazon Athena. To start, this platform is excellent for companies that need to analyze data stored in Amazon S3. If you have unstructured or structured data, such as CSV, JSON, etc., this service can be quite helpful. You can easily use Athena to run your own ad-hoc queries via ANSI SQL without having to aggregate or load your data into the Athena platform.
Just as well, Athena makes data visualization a breeze. Most businesses and organizations need data visualization for a wide range of use cases, from sales trends to marketing success measurements. Athena can easily generate reports and explore your data with intuitive BI tools and SQL clients that are connected to a JDBC and/or ODBC driver.
Athena can also integrate with the AWS Glue Data Catalog from the Amazon Web Services. This provides consistent metadata storage for data inside of Amazon S3. As a result, you can make tables and generate query data based on your metadata stored in your Amazon Web Services account.
As with any new technology, Amazon Athena has its pros and its cons.
There are so many benefits in using Athena, which include:
Athena, while excellent, isn’t perfect. A few downsides include:
In the end, Amazon Athena is a great database querying solution for a majority of organizations. If infrastructure management isn’t possible, especially for small businesses and startups, this solution is worth looking into.
Amazon Athena offers an ODBC connector that can be used to connect and visualize your data in other business intelligence tools, such as Yurbi.
Why would you do that? Yurbi offers a few great use cases when combined with Amazon Athena.
Self-Service BI – allows internal and external (i.e.) customers the ability to create their own reports and visualizations without needing to write or know ANSI SQL query writing.
Security – apply dynamic data-level security, so users are able to view and build new reports, but only in the context of a data constraint such as a tenant, customer, department, location, region, or other parameter.
Multi-data source – combine data stored in Amazon Athena with other internal (or external) databases and API endpoints. Yurbi can pull data from multiple sources, combine that in memory, and then allow you to create reports from the joined source.
White-Label Embedding – use Yurbi as your embedded analytics presentation layer to accelerate providing advanced reports and dashboard within your own SaaS App.
Price – compared to other similar BI tools such as Power BI, Tableau, and Domo, Yurbi is a fraction of the price.
Reach out to us and schedule a live demo or contact us with questions. We would be happy to help.
What do you think about Amazon Athena and its use cases? Tell us what you think about this platform in the comments section below!