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Cloudera Launches Private Link Network for Secure, Internet-Free Cloud Connectivity
Imagine a world where your sensitive data moves effortlessly between clouds – secure, private, and far from the prying eyes of the public internet. Today, we’re making that world a reality with the launch of Cloudera Private Link Network. Organizations are continuously seeking ways to enhance their data security. One of the challenges is ensuring that data remains protected as it traverses different cloud environments.
How GenAI early adopters gain a competitive advantage in analytics
With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.
How to Use Azure Blob Storage with Ruby on Rails
Azure Blob Storage is an object storage service that is very similar to AWS S3. ActiveStorage from Rails has built-in support for both ActiveStorage and S3 for file storage, making it easy to integrate and even swap out providers. The Honeybadger Blog has already explored using S3 for file storage in Rails, and in this article, we'll explore using Azure to allow users to upload files in a Rails application. You can find the final code here on Github.
A New Dawn: Kong Unleashes API Technologies for the AI Era
The main fundamental question of every business today: Are you on the right side of AI? Many businesses and investors are facing the big question: will they get AI-fied and die slowly or will they be propelled by AI and grow faster? Kong API tools and the Konnect API platform will bring our customers on to the right side of AI. Every platform shift from mainframes onward has created demand for more APIs.
AI in Quality Assurance: How AI is Transforming Future of Quality Assurance
John McCarthy, an American computer scientist, stated this belief more than 40 years ago. Surely, his commitment to understanding the human mental process led him to ideate one of the most revolutionary ideas in computer science—artificial Intelligence (AI). Since then, AI has helped us develop software, utilize it to streamline our business offerings and maintain another essential aspect of digital ecosystems—quality assurance.
[WEBINAR] Automating Invoice Payments in Retail with AI-Powered Data Extraction
Join us in this engaging webinar as we examine the role of AI in automating invoice payments within the retail landscape. We will highlight the significance of data extraction technologies and their ability to enhance payment accuracy and speed. Learn about the challenges faced by retailers and how AI solutions can address these issues effectively.
Q&A with Bitrise's CSO on Gartner's Magic Quadrant: What's next for DevOps?
The DevOps landscape continues to evolve rapidly. As more organizations embrace DevOps to stay competitive, the landscape is shifting to include more diverse players and specialized offerings. But what's next for the space? Gartner's latest Magic Quadrant for DevOps Platforms report highlights the latest developments and standout players in the space, including Bitrise's growing impact on mobile DevOps.
Shift left to write data once, read as tables or streams
Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.
How to source data from AWS DynamoDB to Confluent using DynamoDB Streams and AWS Lambda
This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.