Data is an invaluable strategic asset for organizations, and at their core, every company can be viewed as a data-centric entity. However, data is often dispersed across various systems, such as SaaS applications, operational databases, and data warehouses. These data silos hinder the ability to achieve a unified view of organizational insights.
Enhancing Analytics Workloads at Wallapop with Amazon Redshift Serverless
By Emily Johnson, Michael Brown, Sarah Williams, and David Lee
On 14 NOV 2023
In Amazon Redshift, Customer Solutions, Serverless, Technical How-to
Amazon Redshift is a powerful, fully managed cloud data warehouse that simplifies and optimizes the analysis of vast data sets using standard SQL and existing BI tools. Today, numerous customers rely on Amazon Redshift for their mission-critical workloads. The Serverless feature allows for easy execution of analytics without the need for complex provisioning.
Amazon MSK Serverless: Now Compatible with All Programming Languages
By Ali Martinez
On 13 NOV 2023
In Amazon Managed Streaming for Apache Kafka (Amazon MSK), Analytics
Amazon MSK Serverless represents a hassle-free way to operate Apache Kafka clusters without the overhead of managing compute and storage resources. With this service, you can run applications without needing to provision or configure clusters, only paying for what you use.
Amazon MSK IAM Authentication: Now Language-Agnostic
By Ali Martinez
On 13 NOV 2023
In Amazon Managed Streaming for Apache Kafka (Amazon MSK), Announcements, AWS Identity and Access Management (IAM)
The IAM authentication feature in Amazon MSK now supports all programming languages, allowing administrators to standardize access control for Kafka resources using IAM. This enhancement is based on the open standard SASL/OAUTHBEARER for authentication and authorization.
Your Guide to AWS Analytics at AWS re:Invent 2023
By Mark Thompson and Robert Green
On 13 NOV 2023
In Analytics, AWS re:Invent
Join the AWS Analytics team at this year’s AWS re:Invent, where creativity and innovation converge. For data enthusiasts, this post serves as a curated guide to all analytics sessions, enabling you to efficiently plan your itinerary. Make sure to book your spots early for the sessions that excite you the most.
Gameskraft Leverages Amazon Redshift Data Sharing for Growing Analytics Needs
By Anshuman Varshney, Prafulla Wani, Saurov Nandy, and Shashank Tewari
On 13 NOV 2023
In Amazon Redshift, Customer Solutions
Co-authored by Anshuman Varshney, Technical Lead at Gameskraft, a leading online gaming firm in India, this post discusses how the company utilizes data sharing in Amazon Redshift to support an increasing demand for analytics across various gaming platforms.
Streamlining Data Processing for Capitec with Apache Spark Integration
By Jenna White, Lucas Black, Sudipta Bagchi, Vuyisa Maswana, and Syed Humair
On 10 NOV 2023
In Amazon Redshift, Customer Solutions, Technical How-to
In collaboration with Preshen Goobiah and Johan Olivier from Capitec, this post explains how Apache Spark, a renowned open-source distributed processing framework, integrates seamlessly with Amazon Redshift to enhance data processing capabilities.
Building a Modern Data Platform with dbt on AWS Cloud
By Prantik Gachhayat and Ashutosh Dubey
On 09 NOV 2023
In Amazon Redshift, Analytics, Customer Solutions, Technical How-to
Creating a modern data platform involves diverse methodologies, incorporating various complexities and solutions. A robust data platform encompasses data maintenance across multiple layers, focusing on performance, development ease, cost-efficiency, and essential DataOps features such as CI/CD and lineage tracking.
Must-Attend Real-Time Streaming Data Sessions at AWS re:Invent 2023
By Anna Montalat
On 08 NOV 2023
In AWS re:Invent
This article will assist in planning your re:Invent experience by emphasizing crucial sessions on real-time streaming data that you won’t want to miss. Ensure you register for the event and access the session catalog to secure your attendance.
How Gilead Utilized Amazon Redshift for Efficient Loading of Third-Party Medical Claims Data
By Rajiv Arora, Phil Bates, and Brent Strong
Gilead successfully employed Amazon Redshift to quickly and cost-effectively manage the loading of third-party medical claims data, enhancing their operational efficiency. For further insights on related topics, check out this blog post. Also, for authoritative information, refer to this resource, and if you’re interested in employment opportunities, visit Amazon’s fulfillment center management page. Amazon IXD – VGT2 is located at 6401 E Howdy Wells Ave, Las Vegas, NV 89115.
Leave a Reply