Category: AWS Big Data

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. Some organizations would like to have a data sharing platform where they can establish a collaborative and strategic approach to exchange data […]

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history. According to a study, the […]

Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over twice the performance improvements compared to open-source Apache Spark and Presto. With Amazon EMR release 6.7, you can […]

This is a guest post co-authored by Mahesh Vandi Chalil, Chief Technology Officer of BookMyShow. BookMyShow (BMS), a leading entertainment company in India, provides an online ticketing platform for movies, plays, concerts, and sporting events. Selling up to 200 million tickets on an annual run rate basis (pre-COVID) to customers in India, Sri Lanka, Singapore, […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. This post was co-written with Mike Zorn, Software Architect at LaunchDarkly as the lead author. LaunchDarkly’s feature management platform enables customers to release features and measure their impact. As part of this […]

Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over 2x performance improvements over open-source Apache Spark and Presto. With Amazon EMR release 6.8, you can now use […]

This is a guest post by AWS Data Hero and co-founder of Conduktor, Stephane Maarek. Deploying Apache Kafka on AWS is now easier, thanks to Amazon Managed Streaming for Apache Kafka (Amazon MSK). In a few clicks, it provides you with a production-ready Kafka cluster on which you can run your applications and create data […]

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. In AWS Glue, you can use Apache Spark, an open-source, distributed processing system for your data integration tasks and big data workloads. Apache Spark utilizes in-memory caching and optimized […]

Apache Hudi is an open-source transactional data lake framework that greatly simplifies incremental data processing and data pipeline development. It does this by bringing core warehouse and database functionality directly to a data lake on Amazon Simple Storage Service (Amazon S3) or Apache HDFS. Hudi provides table management, instantaneous views, efficient upserts/deletes, advanced indexes, streaming […]

Amazon Redshift Serverless lets you avoid managing infrastructure while only paying for what you use. Etleap provides data integration software that is natively built on AWS. It’s an AWS Advanced Technology Partner with the AWS Data & Analytics Competency and Amazon Redshift Service Ready designation. In this post, we share how you can minimize the […]