AWS Big Data Blog

Amazon Managed Grafana recently announced a new data source plugin for Amazon Redshift, enabling you to query, visualize, and alert on your Amazon Redshift data from Amazon Managed Grafana workspaces. With the new Amazon Redshift data source, you can now create dashboards and alerts in your Amazon Managed Grafana workspaces to analyze your structured and […]

Nowadays, many customers have built their data lakes as the core of their data analytic systems. In a typical use case of data lakes, many concurrent queries run to retrieve consistent snapshots of business insights by aggregating query results. A large volume of data constantly comes from different data sources into the data lakes. There […]

Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. The data is processed by specialized big data compute engines, such as Amazon Athena for interactive queries, Amazon EMR for Apache Spark applications, Amazon SageMaker for machine learning, and Amazon QuickSight for data […]

Amazon Redshift is a popular cloud data warehouse that allows you to process exabytes of data across your data warehouse, operational database, and data lake using standard SQL. Amazon Redshift offers different node types like DC2 (dense compute) and RA3, which you can use for your different workloads and use cases. For more information about […]

As the implementation of data lakes and modern data architecture increases, customers’ expectations around its features also increase, which include ACID transaction, UPSERT, time travel, schema evolution, auto compaction, and many more. By default, Amazon Simple Storage Service (Amazon S3) objects are immutable, which means you can’t update records in your data lake because it […]

This is post is co-authored by Jyothin Madari, Madhusudhan Muppagowni and Ayush Srivastava from GE. GE Proficy Manufacturing Data Cloud (MDC), part of the GE Digital’s Manufacturing Execution Systems (MES) suite of solutions, allows GED’s customers to increase the derived value easily and quickly from the MES by reliably bringing enterprise-wide manufacturing data into the […]

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. In 2019, Athena added support for federated queries to run SQL […]

Security-conscious customers often adopt a Zero Trust security architecture. Zero Trust is a security model centered on the idea that access to data shouldn’t be solely based on network location, but rather require users and systems to prove their identities and trustworthiness and enforce fine-grained identity-based authorization rules before granting access to applications, data, and […]

Data engineers use various Python packages to meet their data processing requirements while building data pipelines with AWS Glue PySpark Jobs. Languages like Python and Scala are commonly used in data pipeline development. Developers can take advantage of their open-source packages or even customize their own to make it easier and faster to perform use […]

Amazon QuickSight is a serverless business intelligence (BI) service used by organizations of any size to make better data-driven decisions. QuickSight dashboards can also be embedded into SaaS apps and web portals to provide interactive dashboards, natural language query or data analysis capabilities to app users seamlessly. The QuickSight Demo Central contains many dashboards, feature showcase […]