Systems | Development | Analytics | API | Testing



Top 5 Amazon S3 ETL Tools For 2024

Amazon Simple Storage Service (Amazon S3) is a cloud-based object storage service from Amazon Web Services that collects data from anywhere on the internet. In today's data-driven world, businesses rely heavily on seamless data integration and transformation processes to unlock the full potential of their vast data resources. But what happens if you want to move data from Amazon S3 to a data warehouse for analysis?


Serverless Postgres Public Preview

We're excited to announce the Koyeb Serverless Postgres public preview - a fully managed, fault-tolerant, and scalable serverless Postgres Database Service. What do all modern applications have in common? They all have APIs, workers, and databases. Deploying APIs and workers with Koyeb has long been possible. Starting today, you can spin up databases too! Using Koyeb Serverless Postgres, you can easily start a resilient Database Service alongside your apps in a few seconds.

Universal Data Distribution with Cloudera DataFlow for public cloud

The speed at which you move data throughout your organization can be your next competitive advantage. Cloudera DataFlow greatly simplifies your data flow infrastructure facilitating complex data collection and movement through a unified process that seamlessly transfers data throughout your organization. Even as you scale. With Cloudera DataFlow for Public Cloud you can collect and move any data (structured, unstructured, and semi-structured) from any source to any destination with any frequency (real-time streaming, batch, and micro-batch).

Amazon Bedrock Analytics Sources - Quick Demo (using Anthropic)

Amazon Bedrock is the name of the Amazon service that offers a single API to access foundation models provided by companies such as AI21, Amazon Titan, Anthropic and Cohere, from which you can build generative AI into your Qlik applications without writing any code. With generative AI, organizations can broaden insight and context while adding a variety of new and exciting capabilities directly in analytics apps, load scripts, and through app automations. The analytics connector constructs questions and our unique associative engine passes only relevant data related to those selections, in real-time, allowing users to get contextually relevant responses while minimizing cost and complexity. Automation connectors offer the ability for developers to send questions and receive responses and data sets as part of automation workflows.

8 Top AWS Migration Tools & Best Practices

Migrating to and from Amazon Web Services (AWS) is a common but tricky endeavor. Many moving parts and technical and security aspects need to be considered. AWS provides several of its own tools to simplify the migration process, but there are also several third-party products that can support the AWS migration process. This guide will walk you through some of the best options on the market, their pros and cons, and what features may be useful for your particular migration project.


How to Connect Cloudflare with Moesif

Integrating Cloudflare with Moesif allows businesses to leverage Cloudflare’s robust network services along with Moesif’s sophisticated API analytics and monitoring. This integration can be particularly beneficial for understanding user interactions with your APIs and improving API performance and reliability, and is quite easy to accomplish. There are two core paths to using Moesif with Cloudflare.

Cloudera and AWS | Delivering New Generative AI Use Cases and Cutting-edge Analytics

AWS and Cloudera share a culture of customer obsession. Together Cloudera and AWS make it easier for customers to move to the cloud due to the deep technical integration. Our most recent collaboration is around the integration of generative AI with Amazon Bedrock which helps customers innovate with a modern data architecture to create new business use cases and leverage cutting-edge analytics. AWS executive David Littlewood, Head of Data and Analytics ISV Partnerships, discuss how collaborating with Cloudera benefits customers along their cloud migration and modern architecture journey.

Cloudera Operational Database (COD) Performance Benchmarking: Comparing HDFS and Cloud Storage

Have you ever wondered how massive business and consumer apps handle that kind of scale with concurrent users? To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale.


Kensu + Azure Data Factory: A Technical Deep Dive

With 38% of data teams spending between 20% and 40% of their time fixing data pipelines¹, delivering reliable data to end users can be an expensive activity for data teams. With Kensu’s latest integration with Azure Data Factory, ADF users now benefit from the ability to observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and data quality metrics.