--- title: "re:Invent 2022 day 3: Analyze data faster with spark notebooks" description: CloudNation's AWS consultant Luuk Rutten writes live report from day three at re:Invent 2022 in Las Vegas! image: https://www.cloudnation.nl/hubfs/aZUhdyt6N.webp --- English [ Nederlands](https://www.cloudnation.nl/inspiratie/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena) an IG&H company [![_CN_Monogram_Color_White_rgb](https://www.cloudnation.nl/hubfs/_CN_Monogram_Color_White_rgb.png "Back to home") ![preview__CN_Logo_Left_Color_Black_rgb](https://www.cloudnation.nl/hubfs/preview__CN_Logo_Left_Color_Black_rgb.png "Back to home") ](https://www.cloudnation.nl/en/) Services Migrate [ Cloud Migration Realize a seamless transition to the cloud ](https://www.cloudnation.nl/en/services/cloud-migration) [ Cloud Readiness Assessment Before you start your journey on the cloud. ](https://www.cloudnation.nl/en/services/cloud-readiness-assessment) [ Cloud Landing Zone 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nl](https://www.cloudnation.nl/inspiratie/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena) [Back ](https://www.cloudnation.nl/en/inspiration/blogs) [AWS](https://www.cloudnation.nl/en/inspiration/blogs/tag/aws) [re:invent 2022](https://www.cloudnation.nl/en/inspiration/blogs/tag/reinvent-2022) # re:Invent 2022 day 3: Analyze data faster with spark notebooks ![](https://www.cloudnation.nl/hubfs/CN_sq__luuk.jpg) **Luuk Rutten** Principal Cloud Engineer Publish date: 1 December 2022 ![](https://www.cloudnation.nl/hs-fs/hubfs/aZUhdyt6N.webp?width=1600) [mailto:info@example.com?&subject=&body=https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena](mailto:info@example.com?&subject=&body=https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena) ## With so many options, it can be challenging for using the right tools for the right job ##### Table of contents - [Setting up Jupyter Notebooks for Amazon Athena](https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena#setting) - [Different spark notebooks, different use-cases](https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena#different) - [More to come](https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena#more) Data analytics is getting more and more accessible! If you want to quickly analyze datasets, Amazon Athena has always been a very easy tool because it requires very little setup. Simply select your database and write your SQL query and you can run analytics queries on your data! Now, AWS has extended its capabilities beyond SQL queries and you can run Apache Spark scripts using notebooks for ad-hoc complex analytics. # Setting up Jupyter Notebooks for Amazon Athena To get started, first you need to create a workgroup. This is a logical container for your analyses. In the example below, I've chosen to use the example notebook provided by AWS. By default, Amazon Athena will set up all the required permissions for you, so the notebook can access data and write to S3. ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1669828457877/mZbh7gVI1.png?auto=compress,format&format=webp) Athena then provides you with a sample notebook, which has a number of spark workers running in the background to process your scripts. By default, you have 20 Data Processing Units available to you. > **Note about DPU's from the AWS Pricing page** > AWS charges an hourly rate based on the number of data processing units (DPUs) used to run your ETL job. A single standard DPU provides 4 vCPU and 16 GB of memory, whereas a high-memory DPU (M-DPU) provides 4 vCPU and 32 GB of memory. AWS bills for jobs and development endpoints in increments of 1 second, rounded up to the nearest second. ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1669829825538/Kts214Udo.png?auto=compress,format&format=webp) And you're all set! You can now run spark scripts on your datasets and visualize them in your notebooks! The example notebook shows you how to run spark SQL queries and visuallize the results using `matplotlib`, as shown below ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1669829950863/huq_R_mos.png?auto=compress,format&format=webp) # Different spark notebooks, different use-cases If you have been using AWS for ETL, chances are you are thinking: don't we already have spark notebooks available? And that's true: both AWS Glue and Sagemaker can run spark in their respective notebooks. However, the main distinction is that Athena is focused on data analysts rather than data engineers (Glue) or data scientists (Sagemaker). There is less setup involved and can visualize datasets, whereas Glue does not support such visualizations. For example, the minimum set-up for glue involves setting up spark sessions like shown below. ``` # Setup import sys from awsglue.transforms import * from awsglue.utils import getResolvedOptions from pyspark.context import SparkContext from awsglue.context import GlueContext from awsglue.job import Job sc = SparkContext.getOrCreate() glueContext = GlueContext(sc) spark = glueContext.spark_session job = Job(glueContext) # The actual code file_name = "s3://athena-examples-us-east-1/notebooks/yellow_tripdata_2016-01.parquet" taxi_df = (spark.read.format("parquet") .option("header", "true") .option("inferSchema", "true") .load(file_name)) taxi1_df=taxi_df.groupBy("VendorID", "passenger_count").count() taxi1_df.show() ``` ``` file_name = "s3://athena-examples-us-east-1/notebooks/yellow_tripdata_2016-01.parquet" taxi_df = (spark.read.format("parquet") .option("header", "true") .option("inferSchema", "true") .load(file_name)) taxi1_df=taxi_df.groupBy("VendorID", "passenger_count").count() taxi1_df.show() ``` The visualization option in Athena also makes it much easier to understand your data for ad-hoc analytics! Cool stuff! # More to come If you find these blogs helpful, make sure to check out [https://www.cloudnation.nl/inspiratie/blogs/tag/reinvent-2022](https://www.cloudnation.nl/inspiratie/blogs/tag/reinvent-2022) for a full list of re:Invent-2022-related blog posts from the CloudNation team. -- This blog also appeared on [cloudengineer.hashnode.dev](https://cloudengineer.hashnode.dev/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena) #### Want to read more from our AWS consultants? We regularly write about the newest updates, learnings and personal experiences on AWS. [Read more ](https://www.cloudnation.nl/en/inspiration/blogs) ![cloudnation-sem](https://7979774.fs1.hubspotusercontent-na1.net/hubfs/7979774/cloudnation-sem.jpg) [mailto:info@example.com?&subject=&body=https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena](mailto:info@example.com?&subject=&body=https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena) ![](https://www.cloudnation.nl/hubfs/CN_sq__luuk.jpg) **Luuk Rutten** Principal Cloud Engineer Publish date: 1 December 2022 ## More knowledge, howto's and insights [![](https://7979774.fs1.hubspotusercontent-na1.net/hubfs/7979774/Right%20Banner%20size%20%288%29.png) News AWS ## CloudNation achieves AWS Premier Partner status Read more ](https://www.cloudnation.nl/en/inspiration/blogs/cloudnation-achieves-aws-premier-partner-status) [![](https://7979774.fs1.hubspotusercontent-na1.net/hubfs/7979774/CloudNation%20Knows%20How%20Leading%20cloud%20modernization%20in%202025%20and%20beyond%20%288%29.png) News Knowledge AWS ## How we built a real-time heartbeat processing pipeline at scale in AWS Read more ](https://www.cloudnation.nl/en/inspiration/blogs/how-we-built-a-real-time-heartbeat-processing-pipeline-at-scale-in-aws) [![](https://7979774.fs1.hubspotusercontent-na1.net/hubfs/7979774/Right%20Banner%20size%20%285%29.png) News Knowledge AWS ## Don't let Amazon EC2 be your attacker's way in Read more ](https://www.cloudnation.nl/en/inspiration/blogs/dont-let-ec2-be-your-attackers-way-in) Follow us: ##### Contact Kosterijland 10 3981 AJ Bunnik [![blue-chat-icon](https://www.cloudnation.nl/hubfs/Development%20assets/blue-chat-icon.svg)   Chat with us ](https://www.cloudnation.nl/en/inspiration/blogs/reinvent-2022-day-3-analyze-data-faster-with-spark-notebooks-in-amazon-athena#hs-chat-open) [![blue-phone-call](https://www.cloudnation.nl/hubfs/Development%20assets/blue-phone-call.svg)   +31 (0)6 48 016 896 ](tel:0031648016896) [![blue-mail](https://www.cloudnation.nl/hubfs/Development%20assets/blue-mail.svg)   info@cloudnation.nl ](mailto:info@cloudnation.nl) ![iso 27001](https://www.cloudnation.nl/hubfs/iso%2027001.svg)  ![gdpr compliant](https://www.cloudnation.nl/hubfs/gdpr%20compliant.svg)   ![iso 27001](https://www.cloudnation.nl/hubfs/iso%2027001.svg)  ![gdpr compliant](https://www.cloudnation.nl/hubfs/gdpr%20compliant.svg)   ##### CloudNation [ About CloudNation ](https://www.cloudnation.nl/en/about-us) [ Careers ](https://www.cloudnation.nl/werken-bij) [ CloudNation Academy ](https://www.cloudnation.nl/en/cloud-academy) [ Contact ](https://www.cloudnation.nl/contact) ##### Partners [ All our partners ](https://www.cloudnation.nl/en/partners) [ AWS ](https://www.cloudnation.nl/en/partners/amazon-web-services#aws-partner) [ Azure ](https://www.cloudnation.nl/en/partners#microsoft-azure-partner) [ And lots more ](https://www.cloudnation.nl/en/partners) ##### Knowledge, howto's and insights of CloudNation in your mailbox