AWS Big Data Blog

Category: Learning Levels

Serverless logging with Amazon OpenSearch Serverless and Amazon Kinesis Data Firehose

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. In this post, you will learn how you can use Amazon Kinesis Data Firehose to build a log ingestion pipeline to send VPC flow logs to Amazon OpenSearch Serverless. First, you create […]

Create more partitions and retain data for longer in your MSK Serverless clusters

In April 2022, Amazon Managed Streaming for Apache Kafka (Amazon MSK) launched an exciting new capability, Amazon MSK Serverless. Amazon MSK is a fully managed service for Apache Kafka that makes it easier for developers to build and run highly available, secure, and scalable applications based on Apache Kafka. With MSK Serverless, developers can run […]

Run Apache Spark workloads 3.5 times faster with Amazon EMR 6.9

In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, which comes with an optimized Spark runtime that is compatible with open-source Spark. We walk through a detailed cost analysis and finally provide step-by-step instructions to run the benchmark. With Amazon EMR 6.9.0, you can now run your Apache Spark 3.x applications faster and at lower cost without requiring any changes to your applications. In our performance benchmark tests, derived from TPC-DS performance tests at 3 TB scale, we found the EMR runtime for Apache Spark 3.3.0 provides a 3.5 times (using total runtime) performance improvement on average over open-source Apache Spark 3.3.0.

Handle UPSERT data operations using open-source Delta Lake and AWS Glue

September 2024: This post was reviewed and updated for accuracy. Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. In this post, we […]

Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS […]

Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline

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. Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics […]

Super-charged pivot tables in Amazon QuickSight

Amazon QuickSight is a fast and cloud-powered business intelligence (BI) service that makes it easy to create and deliver insights to everyone in your organization without any servers or infrastructure. QuickSight dashboards can also be embedded into applications and portals to deliver insights to external stakeholders. Additionally, with Amazon QuickSight Q, end-users can simply ask […]

Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. Both services provide reliable data storage, but some customers want replicated storage, catalog, and permissions for compliance purposes. This post explains how to create a […]

Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

Serverless applications are a modernized way to perform analytics among business departments and engineering teams. Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer […]

A dive into redBus’s data platform and how they used Amazon QuickSight to accelerate business insights

This post is co-authored with Girish Kumar Chidananda from redBus. redBus is one of the earliest adopters of AWS in India, and most of its services and applications are hosted on the AWS Cloud. AWS provided redBus the flexibility to scale their infrastructure rapidly while keeping costs extremely low. AWS has a comprehensive suite of services […]