AWS Big Data Blog

Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. A data mesh framework empowers business units with data ownership and facilitates seamless sharing. However, integrating datasets from different business units can present several […]

In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. With Amazon DataZone, the data owner can directly import the technical metadata of a Redshift database table and views to the Amazon DataZone project’s inventory. As these data assets gets imported into Amazon DataZone, it bypasses the AWS Glue Data Catalog, creating a gap in data quality integration. This post proposes a solution to enrich the Amazon Redshift data asset with data quality scores and KPI metrics.

Poor data quality can lead to a variety of problems, including pipeline failures, incorrect reporting, and poor business decisions. For example, if data ingested from one of the systems contains a high number of duplicates, it can result in skewed data in the reporting system. To prevent such issues, data quality checks are integrated into […]

This post explores how to use the system-rollback feature in Managed Service for Apache Flink.We discuss how this functionality improves your application’s resilience by providing a highly available Flink application. Through an example, you will also learn how to use the APIs to have more visibility of the application’s operations.

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. In this post, we discuss common approaches to structuring domain units, use cases that customers in the healthcare and life sciences (HCLS) industry encounter, and how to get started with the new domain units and authorization policies features from Amazon DataZone.

In this blog post, we explore how to use the SFTP Connector for AWS Glue from the AWS Marketplace to efficiently process data from Secure File Transfer Protocol (SFTP) servers into Amazon Simple Storage Service (Amazon S3), further empowering your data analytics and insights.

Amazon Redshift Advisor offers recommendations about optimizing your Redshift cluster performance and helps you save on operating costs. In this post, we show you how to use the ListRecommendations API to set up email notifications for Advisor recommendations on your Redshift cluster. These recommendations, such as identifying tables that should be vacuumed to sort the data or finding table columns that are candidates for compression, can help improve performance and save costs.

As businesses strive to make informed decisions, the amount of data being generated and required for analysis is growing exponentially. This trend is no exception for Dafiti, an ecommerce company that recognizes the importance of using data to drive strategic decision-making processes. With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. The growing need for storage space to maintain data from over 90 sources and the functionality available on the new Amazon Redshift node types, including managed storage, data sharing, and zero-ETL integrations, led us to migrate from DC2 to RA3 nodes. In this post, we share how we handled the migration process and provide further impressions of our experience.

AppsFlyer develops a leading measurement solution focused on privacy, which enables marketers to gauge the effectiveness of their marketing activities and integrates them with the broader marketing world, managing a vast volume of 100 billion events every day. This post explores how AppsFlyer modernized their Audiences Segmentation product by using Amazon Athena.

Modern business applications rely on timely and accurate data with increasing demand for real-time analytics. There is a growing need for efficient and scalable data storage solutions. Data at times is stored in different datasets and needs to be consolidated before meaningful and complete insights can be drawn from the datasets. This is where replication […]