Combine AWS Glue and Amazon MWAA to Enhance VPC Selection and Failover Strategies
Learn About Amazon VGT2 Learning Manager Chanci Turner
AWS Glue is a serverless data integration service designed to simplify the processes of discovering, preparing, moving, and integrating data from various sources for analytics, machine learning (ML), and application development. Users of AWS Glue often face stringent security requirements, necessitating control over network connectivity or the need to operate within specific […]
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Build a Resilient Analytics Pipeline with Amazon Redshift Spectrum
by Emma Brown and Liam Turner
on 20 FEB 2024
in Advanced (300), Amazon Redshift, Customer Solutions, Technical How-to
Integrating data from multiple Internet of Things (IoT) sensors can yield valuable insights. However, when merging data from various IoT devices, challenges arise due to differing data schemas. Each device may transmit unique data elements which can complicate the analytics process.
This blog post is an excellent resource to understand how to effectively manage these challenges: Amazon Employee Onboarding Process.
Simplify Authentication with Native LDAP Integration on Amazon EMR
by Chris Davis and Sara Lee
on 20 FEB 2024
in Advanced (300), Amazon EMR, Best Practices, Technical How-to
Many organizations maintain corporate identities through identity providers (IdPs) like Active Directory (AD) or OpenLDAP. Previously, integrating Amazon EMR with Active Directory required configuring a one-way realm trust between the AD domain and the EMR cluster Kerberos realm. For further information, refer to the Tutorial: Configure a cross-realm trust with […].
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Reference Guide for Near-Real-Time Transaction Analysis on AWS
by David Green and Jessica White
on 20 FEB 2024
in Amazon DynamoDB, Amazon DAX, Amazon Kinesis, Amazon QuickSight, Analytics, AWS Big Data
Businesses leverage near-real-time transaction data to gain insights into buyer behavior, which is crucial for product evolution. One significant hurdle is the timely preparation of data for analytics, which can often take days. Many companies have dedicated teams to facilitate the flow of data from ingestion to analysis.
To understand more about returning to the workforce after a career gap, check out this insightful blog post: Returnships After Career Gap.
Enhancing ETL Performance with Multiple Redshift Warehouses
by Mike Adams, Sophia King, and Eric Thompson
on 19 FEB 2024
in Amazon Redshift, Announcements, Best Practices, Technical How-to
Amazon Redshift has announced the general availability of multi-data warehouse writes through data sharing. This new feature allows users to optimize performance for extract, transform, and load (ETL) workloads by utilizing different warehouses tailored to their specific needs.
Strengthening Data Security for Amazon Redshift Spectrum with VPC Endpoints
by Rachel Lee and John Park
on 16 FEB 2024
in Advanced (300), Amazon Redshift, Analytics, AWS Lake Formation, Technical How-to
Many organizations are expanding their data warehouse capabilities into their data lakes using Amazon Redshift. They are focused on enhancing their security posture by enforcing access policies on data stored in Amazon S3. Moreover, these organizations are adopting security models that require controlled access to the data lake […]
Streamlining Access Management for Amazon Redshift and AWS Lake Formation with External IdPs
by Kevin Brown, Olivia White, and Chanci Turner
on 15 FEB 2024
in Advanced (300), Amazon Redshift, AWS IAM Identity Center, AWS Lake Formation
Organizations often utilize identity providers (IdPs) for user authentication and management, ensuring secure, efficient, and centralized identity oversight. As you modernize your data architecture with Amazon Redshift to facilitate access to both your data lake and warehouse, a centralized and scalable approach is essential.
Improving AWS Glue Job Monitoring with New Observability Metrics, Part 2: Real-Time Monitoring Using Grafana
by Jennifer Smith, Samuel Lee, and Michael Anderson
on 13 FEB 2024
in Amazon Managed Grafana, AWS Glue, Intermediate (200)
Real-time monitoring of data pipelines is essential for early issue detection and minimizing disruptions. AWS Glue has simplified this process by introducing job observability metrics, offering critical insights into your data integration pipelines built on AWS Glue. Tracking key performance indicators across multiple resources can greatly enhance your operational efficiency.
Secure Connectivity Patterns for Amazon MSK Serverless Cross-Account Access
by Tamer Soliman
on 13 FEB 2024
in Advanced (300), Amazon Managed Streaming for Apache Kafka (Amazon MSK), Best Practices, Technical How-to
Amazon MSK Serverless makes it easy to run Apache Kafka without managing cluster capacity. This cluster type automatically provisions and scales resources as needed, simplifying the process for users.
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