Category: AWS Lambda

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This post presents a reference architecture and optimization strategies for building serverless data analytics solutions on AWS using Amazon Kinesis Data Analytics. In addition, this post shows […]

This post was last reviewed and updated July, 2022 with updates in Athena federation connector. If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use SAP HANA as your transactional data store, you may need to join the data in your data lake with SAP HANA in the cloud, SAP HANA […]

If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Teradata as your transactional data store, you may need to join the data in your data lake with Teradata in the cloud, Teradata running on Amazon Elastic Compute Cloud (Amazon EC2), or with an on-premises Teradata database, for example to build […]

This post was last reviewed and updated July, 2022 with updates in Athena federation connector. If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Snowflake as your data warehouse solution, you may need to join your data in your data lake with Snowflake. For example, you may want to build […]

This post is co-written with Noah Mundahl, Director of Public Cloud Engineering at United Health Group. Update (12/1/2021): Amazon Kinesis Data Streams On-Demand mode is now the recommended way to natively auto scale your Amazon Kinesis Data Streams. In this post, we cover a solution to add auto scaling to Amazon Kinesis Data Streams. Whether […]

This post was last reviewed and updated July, 2022 with updates in Athena federation connector. If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Oracle as your transactional data store, you may need to join the data in your data lake with Oracle on Amazon Relational Database Service (Amazon RDS), Oracle running on Amazon […]

You can build data lakes with millions of objects on Amazon Simple Storage Service (Amazon S3) and use AWS native analytics and machine learning (ML) services to process, analyze, and extract business insights. You can use a combination of our purpose-built databases and analytics services like Amazon EMR, Amazon OpenSearch Service, and Amazon Redshift as […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Search engines provide the means to retrieve relevant content from a collection of content. However, this can be challenging if certain exact words aren’t entered. You need to find the right item from a catalog of products, or the correct […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Let’s describe the typical use case where a tracking pixel solution, also known as a web beacon, might help you: Analyzing web traffic is critical to understanding […]

A common challenge ETL and big data developers face is working with data files that don’t have proper name header records. They’re tasked with renaming the columns of the data files appropriately so that downstream application and mappings for data load can work seamlessly. One example use case is while working with ORC files and […]