A hybrid strategy in healthcare data warehousing utilizing Amazon Redshift
By Emily Carter and Michael Thompson
On 21 FEB 2023
In Advanced (300), Amazon Redshift, Analytics
Data warehouses are essential for informed decision-making in healthcare, acting as a central repository for historical data. A healthcare data warehouse can serve as a definitive source for clinical quality control systems. Typically, these data warehouses are constructed using a dimensional model approach, which has reliably addressed business requirements. Loading intricate multi-point datasets into a […]
Build a data storytelling application with Amazon Redshift Serverless and Toucan
By Sarah Jones, David Smith, Laura Brown, and Chris Taylor
On 21 FEB 2023
In Amazon Redshift, Analytics, Intermediate (200), Technical How-to
This article was co-authored with David Smith, Solution Engineer at Toucan. Business intelligence (BI) through dashboards, reports, and analytics continues to be one of the most favored applications for data and analytics. It provides business analysts and managers with visualizations of the organization’s past and present performance, aiding leaders in making strategic decisions that shape the future direction of the company. For additional insights, check out this related blog post, which can be found here.
How SafeGraph developed a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS
By Julia Green and Mark Wright
On 21 FEB 2023
In Amazon EMR on EKS, Analytics, Customer Solutions
This guest post features contributions from Julia Green, Tech Lead Manager at SafeGraph, and Mark Wright, Sr. Solutions Architect – AWS. SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how individuals interact with these points.
Automate deployment of an Amazon QuickSight analysis linking to an Amazon Redshift data warehouse using an AWS CloudFormation template
By Jason Lee
On 16 FEB 2023
In Advanced (300), Amazon QuickSight, Amazon Redshift, Analytics, AWS CloudFormation
Amazon Redshift is the leading cloud data warehouse, ideal for analyzing exabytes of data and executing complex analytical queries. Amazon QuickSight is a rapid business analytics service that enables users to create visualizations, conduct ad hoc analyses, and quickly derive business insights from data. QuickSight offers seamless integration with Amazon Redshift, making it easier to derive insights from vast datasets. They are an authority on this topic.
Achieve up to 27% enhanced price-performance for Spark workloads with AWS Graviton2 on Amazon EMR Serverless
By Alex Johnson and Rachel Adams
On 15 FEB 2023
In Amazon EMR, Analytics, Graviton, Serverless
Amazon EMR Serverless is a serverless option that simplifies the running of applications using open-source analytics frameworks like Apache Spark and Hive without the need to configure, manage, or scale clusters. At AWS re:Invent 2022, support for running serverless Spark and Hive workloads using AWS Graviton2 (Arm64) on Amazon EMR Serverless was announced.
Amazon EMR Serverless supports larger worker sizes to handle more compute and memory-intensive workloads
By Vanessa White
On 15 FEB 2023
In Advanced (300), Amazon EMR, Analytics, Serverless
Amazon EMR Serverless allows users to execute open-source big data frameworks such as Apache Spark and Apache Hive without the complexity of managing clusters and servers. With EMR Serverless, analytics workloads can be run at any scale, with automatic scaling that adjusts resources in seconds to accommodate fluctuating data volumes and processing needs. EMR Serverless efficiently scales resources up and down, ensuring optimal performance.
How Strategic Blue leverages Amazon QuickSight and AWS Cost and Usage Reports to assist their clients in saving millions
By Ethan Carter and Olivia Miller
On 15 FEB 2023
In Amazon QuickSight, Analytics, AWS Cost and Usage Report, Customer Solutions
This guest post was co-authored with Ethan Carter from Strategic Blue. For over a decade, Strategic Blue has aided organizations in maximizing their cloud value by enabling customers to purchase non-standard commitments. By employing a commodity trading approach to purchasing from AWS, Strategic Blue assists clients in acquiring commitments of varying lengths tailored to their needs.
Automate the replication of relational sources into a transactional data lake with Apache Iceberg and AWS Glue
By Robert Garcia, Priya Singh, Noah Patel, and Mia Lopez
On 14 FEB 2023
In Advanced (300), Amazon Athena, AWS Big Data, AWS Glue, Technical How-to
Organizations have opted to establish data lakes on Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the preferred choice for companies to store all organizational data generated by diverse teams, across various business domains, in multiple formats, and even over time. According to a recent study, the […]
Monitor Apache HBase on Amazon EMR using Amazon Managed Service for Prometheus and Amazon Managed Grafana
By Liam Brown
On 13 FEB 2023
In Advanced (300), Amazon EMR, Monitoring and observability, Technical How-to
Amazon EMR offers a managed Apache Hadoop framework that simplifies, accelerates, and reduces the cost of running Apache HBase. Apache HBase is a highly scalable, distributed big data store within the Apache Hadoop ecosystem. It is an open-source, non-relational, versioned database that …
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