AWS Big Data Blog

Data lakes give organizations the ability to harness data from multiple sources in less time. Users across different roles are now empowered to collaborate and analyze data in different ways, leading to better, faster decision-making. Amazon Simple Storage Service (Amazon S3) is the highly performant object storage service for structured and unstructured data and the […]

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL, business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics […]

Healthcare organizations across the globe strive to provide the best possible patient care at the lowest cost. In a patient’s care journey, multiple organizations are often involved, including the healthcare provider, diagnostic labs, pharmacies, and health insurance payors. Each of these organizations needs to exchange health data efficiently with the others to ensure care continuity […]

Organizations across verticals have been building streaming-based extract, transform, and load (ETL) applications to more efficiently extract meaningful insights from their datasets. Although streaming ingest and stream processing frameworks have evolved over the past few years, there is now a surge in demand for building streaming pipelines that are completely serverless. Since 2017, AWS Glue […]

Amazon EMR allows you to process vast amounts of data quickly and cost-effectively at scale. Using open-source tools such as Apache Spark, Apache Hive, and Presto, and coupled with the scalable storage of Amazon Simple Storage Service (Amazon S3), Amazon EMR gives analytical teams the engines and elasticity to run petabyte-scale analysis for a fraction […]

Businesses are increasingly harnessing data to improve their business outcomes. To enable this transformation to a data-driven business, customers are bringing together data from structured and unstructured sources into a data lake. Then they use business intelligence (BI) tools, such as Amazon QuickSight, to unlock insights from this data. To provide fast access to datasets, […]

“Security is job 0” is the primary maxim of all endeavors undertaken at AWS. Amazon QuickSight, the fast-growing, cloud-native business intelligence (BI) platform from AWS, allows security controls in a variety of means, including web browsers and API calls. These controls apply to various functions, such as user management, authorization, authentication, and data governance. This […]

When it comes to time-series data, it’s more common to access new data over existing data, such as the last 4 hours or 1 day. Often, application teams are tasked with maintaining multiple indexes for diverse data workloads, which brings new requirements to set up a custom solution to manage the indexes’ lifecycle. This becomes […]

The post How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime described a high-level strategy to move from an on-premises Netezza data warehouse to Amazon Redshift. In this post, we explain how a large European Enterprise customer implemented a Netezza migration strategy spanning multiple environments, using the AWS […]

You can use federation to access AWS accounts using credentials from a corporate directory, utilizing open standards such as SAML, to exchange identity and security information between an identity provider (IdP) and an application. With this integration, you manage user identities to AWS resources centrally in IdPs. This improves enterprise security and removes the need […]