Querying your data lake with SQL

With more data stored in more places, data analytics in the cloud can be complicated. You have to manage infrastructure, the data itself, multiple data sources, and data ingestion. 

Ahana Cloud provides self-service analytics for faster data lake analytics so you can spend your time deriving insights from your data instead of managing the complexities inherent to open data lake analytics systems.

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Getting started with SQL for your AWS S3 data lake

Are you running into roadblocks when it comes to querying your AWS S3 data lake using SQL? Ahana Cloud makes it easy to query your data lake – just point and click to your data sources, and Ahana does the rest.

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Where you might be stuck…

Your team doesn’t have the specialized skills to access information in your S3 data lake

Your data may reside in many different data sources, and you have to query each source separately

Moving data into one place to query (like ETL) takes too long

is where Ahana helps

The Ahana Cloud Platform provides self-service SQL analytics for your team – data analysts, data engineer, data scientists, and product managers

Define, add, remove, and manage data sources in Ahana with a click of a button – Ahana takes care of everything else

With Ahana, you don’t need to move your data – Ahana queries data in-place across your data sources

Using Ahana Cloud to Query your AWS S3 Data Lake

Ahana leverages Presto, a powerful in-memory distributed SQL engine, to query data in place. There’s no need to move or ingest your data. In addition to data lakes, Presto can query relational and NoSQL databases, data warehouses, and more.

The Ahana Cloud platform is easy to use, fully-integrated with data sources and dashboarding tools, and cloud native.

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Getting Started: How to query data in your AWS S3 data lake

Step 1

Sign up for an Ahana account

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Step 2

Enter your AWS account into your Ahana Console

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Step 3

Use Ahana Console to select your data sources and run your queries!

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