AWS Big Data Blog
Category: Learning Levels
Dive deep into AWS Glue 4.0 for Apache Spark
Jul 2023: This post was reviewed and updated with Glue 4.0 support in AWS Glue Studio notebook and interactive sessions. Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data […]
Stream data with Amazon MSK Connect using an open-source JDBC connector
Customers are adopting Amazon Managed Service for Apache Kafka (Amazon MSK) as a fast and reliable streaming platform to build their enterprise data hub. In addition to streaming capabilities, setting up Amazon MSK enables organizations to use a pub/sub model for data distribution with loosely coupled and independent components. To publish and distribute the data […]
Improve power utility operational efficiency using smart sensor data and Amazon QuickSight
This blog post is co-written with Steve Alexander at PG&E. In today’s rapidly changing energy landscape, power disturbances cause businesses millions of dollars due to service interruptions and power quality issues. Large utility territories make it difficult to detect and locate faults when power outages occur, leading to longer restoration times, recurring outages, and unhappy […]
Amazon OpenSearch Service Under the Hood: Multi-AZ with Standby
Amazon OpenSearch Service recently announced Multi-AZ with Standby, a new deployment option for managed clusters that enables 99.99% availability and consistent performance for business-critical workloads. With Multi-AZ with Standby, clusters are resilient to infrastructure failures like hardware or networking failure. This option provides improved reliability and the added benefit of simplifying cluster configuration and management […]
Perform secure database write-backs with Amazon QuickSight
Amazon QuickSight is a scalable, serverless, machine learning (ML)-powered business intelligence (BI) solution that makes it easy to connect to your data, create interactive dashboards, get access to ML-enabled insights, and share visuals and dashboards with tens of thousands of internal and external users, either within QuickSight itself or embedded into any application. A write-back […]
Ten new visual transforms in AWS Glue Studio
AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run. AWS Glue Studio recently […]
Use SAML Identities for programmatic access to Amazon OpenSearch Service
Customers of Amazon OpenSearch Service can already use Security Assertion Markup Language (SAML) to access OpenSearch Dashboards. This post outlines two methods by which programmatic users can now access OpenSearch using SAML identities. This applies to all identity providers (IdPs) that support SAML 2.0, including prevalent ones like Active Directory Federation Service (ADFS), Okta, AWS […]
Scale your AWS Glue for Apache Spark jobs with larger worker types G.4X and G.8X
Hundreds of thousands of customers use AWS Glue, a serverless data integration service, to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue for Apache Spark jobs work with your code and configuration of the number of data processing units (DPU). Each DPU provides 4 vCPU, 16 GB memory, […]
New scatter plot options in Amazon QuickSight to visualize your data
Are you looking to understand the relationships between two numerical variables? Scatter plots are a powerful visual type that allow you to identify patterns, outliers, and strength of relationships between variables. In this post, we walk you through the newly launched scatter plot features in Amazon QuickSight, which will help you take your correlation analysis […]
How Encored Technologies built serverless event-driven data pipelines with AWS
This post is a guest post co-written with SeonJeong Lee, JaeRyun Yim, and HyeonSeok Yang from Encored Technologies. Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions. Encored develops machine learning (ML) applications predicting […]









